Market Mapping
an IFC—BMZ initiative

MAPPING OF DIGITAL SOLUTIONSTO SUPPORT FINANCIAL SERVICES PROVIDERS
IN ASSESSING CLIMATE IMPACT
ON AGRICULTURAL PORTFOLIOSIN PARTNERSHIP WITH

This work is a product of the staff of The International Finance Corporation (IFC) with external
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All photos sourced from IFC Agri-finance Photo Archive, World Bank Photo Archive, World Bank webpages, or otherwise marked.
Cover photo: NASATa b l e o f C o n t e n t s
Executive Summary ..............................................................................................

4

1. Background ........................................................................................................

6

2. Methodology .....................................................................................................

10

3. The Solutions Landscape ...................................................................................

14

Case Study: agCELERANT’s Hyperlocal Data System ............................................................. 20
FSP Considerations for Engaging Providers ....................................................................................

24

Case Study: SatSure’s Decisioning Framework for Agriculture Lending .............................

23

Case Study: YAPU’s Integrated Climate Risk Management System ................................

26

4. Outlook ..............................................................................................................

27

Annexes .................................................................................................................. 30
1. Sample Providers One Pagers ..........................................................................................................

31

2. Geographic Reach of Turnkey Providers ...................................................................................... 48
3. List of Provider Names, Based on Taxonomy Categorization .............................................. 49
4. Acknowledgements ...........................................................................................................................

52

Source: NASAharvest

Note on the MappingWith this mapping, IFC aims to provide a snapshot of the fast-changing landscape of digital solutions available
to support financial services providers in assessing climate impact on agricultural portfolios and showcase theiranalytical capabilities and applications for the financial sector. While the research was global, there was a particularfocus on tools and service providers operating in developing economies. Moreover, IFC does not represent orendorse any tool or service provider reviewed in this research. Given the evolving nature of these new digitalsolutions, IFC will continue to monitor the market, and might update the mapping in the following years.
By accessing the following Mapping of tools and applications to support the assessment of climate change impact
on agricultural production (the “Mapping”) you acknowledge, accept and agree to the foregoing:
1. IFC does not warrant that the information contained in the Mapping is complete and one-hundred percent accurate.
Under no circumstances shall IFC be liable whatsoever for any damages or losses incurred as a result of its use.
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2 MARKET MAPPINGACRONYMS & GLOSSARY

AgTechAgricultural Tech

APAC

Asia Pacifc

CHIP

Change Health Impact Profile

DSP

Digital Services Provider

CBAM
CHIRP

Carbon Border Adjustment Mechanism

Climate Hazards InfraRed Precipitation with Station Data

ECBEuropean Central BankFSP

Financial Services Provider

IFC

International Finance Corporation

MFI

Microfinance Institutions

FAO
GDP
IoT

Food and Agriculture Organization of the United Nations
Gross Domestic ProductInternet of Things

NASA

National Aeronautics and Space Administration

NFS

Non-financial Services

NDVI
NGO
SAR
SHF

SMS

TCFD
UK

UNEP

Normalized Difference Vegatation Index
Non-governmental Organization

Synthetic Aperture Radar
Smallholder farm/er/ing

Short Message Service

Task Force on Climate-related Financial Disclosures

United Kingdom

United Nations Environment Programme

Geo-location: the identification of the geographic location of a user based on their geographic coordinates
Satellite data: provides satellite imagery and earth observation data of the earth’s surface and its atmosphere
Remote sensing: the process of detecting and monitoring the physical characteristics of an area by measuring
its reflected and emitted radiation at a distance3

Executive Summary
Climate change can affect agriculture in multiple ways, leading to increased production
risks that impact the viability of farm businesses and their credit risk profile. Financial
institutions are not able to assess the viability of an agricultural producer beyond thebusiness risks. This information and skill gap has been recognized by not only the financial
institutions themselves, but also by digital solution providers, who have recently begun to
tap into this business opportunity.
These solution providers offer services, which are either directed at banks and value chains or
adjacent to these, in assessing the viability of a farm based on its specific soil, crop and climaticconditions. Combining site-specific historical and real-time data with new modeling approaches
and analytical technologies, such firms can for instance assess which crops may be best suited for ageographical area depending on the type, frequency, and severity of hazards (e.g. droughts, floods,
water stress, typhoon, temperature rise, etc.), how much input is required for optimal yield andestimate future production outcomes. Often a number of these parameters and other data points
will result in a farm’s climate hazard exposure and/or climate risk score which financial institutions
can use to supplement their credit risk assessment, as well as support their due diligence approachand business development.
The market of digital solutions to assess climate risk impact on agricultural portfolios offinancial services providers is growing in size and coverage rapidly. This report is the result of a
mapping exercise to ascertain the status quo of tools and providers on both a global and a targetedmarket level. The study mapped solution providers and categorized them based on use caseoffering in a three-step process. Mapping began with desk research which was global in scope
but then narrowed to focus on tools and digital service providers operating in developing
economies. From this, complementary interviews with a sub-set of the providers were used toestablish a decision tree and detailed profiles that could guide FSPs looking to leverage digitalsolutions and integrate them into their lending processes.
4 MARKET MAPPINGThis report should
assist FSPs andagricultural value
chain players tobetter understandthe capabilities
and applicationof climate risk
digital tools thatare available that
can help support
the financial sectorin actively andaccurately assessing
and managing riskin their agricultural
portfolios.

The study resulted in several recommendations for how financial institutions may
engage with different digital solution providers to assess the impact of climate
events on their agriculture portfolios and clients, as well as innovative solutions suchas adaptation investments and/or indexed insurance. The study also resulted in thefollowing insights detailed in this report:
•

•

•

•

•

•

Constrained demand from financial institutions: Agriculture focused FSPs often
desire the tools to properly assess climate risk, but struggle to afford existing
offerings from solution providers. While larger banks can afford these offerings,
they do not express strong immediate demand
Limited focus on agriculture by climate risk tools: Initial scanning has showna broad array of climatic risk tools (even in emerging markets), however only aselect few focus on agriculture

Enriching site-specific forecasts with satellite data: The digital solution providers
rely on site-specific historical and real-time data to generate forecasts. Manyexperts however have indicated the need for specificity and human validation
to bolster the accuracy of the projections and granularity of various models. The
more accurate and granular data used, the more costly and complex the model.
Emerging in-house development (or acquisition) of climate risk tools: Largeratings firms and sophisticated financial institutions appear to be bringing climate
risk capabilities in house, either through in-house development (Rabobank), or
acquisition of existing climate risk firms (Moody’s, BlackRock, McKinsey)
Limited FSP first offerings: In most cases, solution providers tend to add FSPs
offerings on top of existing offerings, as opposed to focusing on FSPs as a
primary customer from the onset.

The importance of geo-location information: FSPs will fully benefit from theusing digital solutions if they have geo-location information of their borrowers.
Currently most of FSPs have the registered addresses of the borrowers, but don’t
have precise locations (ideally geo coordinates) of their borrowers’ assets andbusiness operations.

5Source: WBwebpage

1. BACKGROUND
1. CLIMATE CHANGE & DIGITAL SOLUTIONSClimate change poses a significant threat to the agriculture sector.
Farmers are especially affected, due to their direct dependence on landand specific climate conditions (e.g., temperature and precipitation) as wellas the sector’s direct exposure to climate hazards (e.g. floods, droughts,
pests and disease outbreaks). Climate events can have significant socialand economic repercussions, including losses and damage to ecosystems,
businesses, and populations. From 2008 to 2018, the decline in crop andlivestock production due to disasters has resulted in losses of US$ 116.7
billion globally (FAO, 20211); the sector is expected to be substantiallyaffected in the future, with losses estimated at 0.9% of the global annual
GDP by 2060 (Dellink et al., 20192).

Aware of the risks
arising from climatechange, FSPs seek toimprove their capabilities
of assessing theclimate risks affecting
their portfolios andincorporate thisinformation into theirmarket, credit risk
decisions andoperations.

6 MARKET MAPPINGThe physical impacts of climate change on agriculture can beobserved immediately after a hazard event occurs in the form of
harvest loss, animal mortality, and destruction of equipment andmachinery, and damage to property and landscapes. More subtle,
gradual, but likely irreversible climate change impacts include changes incrop growing seasons, disruption to bloom and pollination time patterns,
warmer winters that delay blooming or break dormancy of fruit trees,and shrinking the areas suitable for producing specific crops, such as
coffee and cocoa.
As climate change intensifies, the risks affecting agriculture represent
a credit risk for FSPs (Box 1) due to the direct impact on farming cash
flows and value chains. This can lead to increased probability of default
of farmers, traders, and processors, reduced collateral value, higher
insurance claims and insurance costs, changes in cost and availability ofcredit, and the need for increased provisioning.

1

https://www.fao.org/resources/digital-reports/disasters-in-agriculture/en/2

https://link.springer.com/article/10.1007/s10640-017-0197-5

1

Source: NASA

There are a growing number of tools, data, and service providers supporting
the financial sector that can help assess both physical and transition risks in
portfolios. The UNEP Finance Initiative regularly summarizes these in their
publications (UNEPFI, 20213; UNEPFI, 20224), but no publication to date has
cataloged climate risk-mitigating digital solutions developed specifically toassess and manage climate risks of commercial agricultural portfolios.
The recent increase in digital technologies and applications, such as remotesensing and satellite imagery, has enabled the collection of real-time andnon-traditional agricultural data (e.g., geo-position of farmer field, satellite
data on soil moisture and vegetation growth). The combination of these withnew modeling approaches and analytics can result in a reduction in information
gaps impeding farmer access to credit; it can also help provide timely
information for multiple applications, and consequently assist FSPs in their
credit decision processes.

A better understanding
and anticipatory
approach to climate
risks also offers astrategic opportunity for
FSPs to manage its own
exposure to risks,

The market for digital solutions that assess the impact of climate change
on agricultural portfolios is growing rapidly in size and coverage. The tools
and providers listed in this report represent the status quo of climate risk
digital tools that fall within the proposed classification framework and havebeen operating in the market for at least one year when this research was
conducted in Q3 2022.
This report is intended to assist FSPs and agricultural value chain players
to better understand the capabilities and application of climate risk digital
tools available and support the financial sector in actively managing theiragricultural portfolios. This report provides the following:

finance and develop

1. Highlighted landscape of providers offering tools and services to assist
banks in assessing the impact of climatic risks in agricultural lending
throughout their credit processes.

products and services

2. A framework classifying the various tools and services offered.

in support of their

3. A company profile template (including: tools and services available,
customers targeted, technical and commercial dimensions) to interview
https://www.unepfi.org/industries/banking/the-climate-risk-landscape/relevant firms and complete their respective profiles (available in the Annex).

as well as mobilize

clients’ adaptation andresilience needs.

3

https://www.unepfi.org/industries/banking/the-climate-risk-landscape/4

https://www.unepfi.org/publications/the-climate-risk-tool-landscape-2022-supplement/7

Box.1 UNDERSTANDING CLIMATE RISKS
Climate risks arise from potential physical impacts of climate change,
as well as how humans respond to the transition to a low-carbon economy.
These risks are grouped into:
Transition Risks: Transition risks arise as economies move towards a green and low-carbon
economy which leads to policy & regulatory changes (e.g., climate commitments, carbon
pricing schemes, carbon footprint, no-deforestation agreements), technology advances(substitution of high-carbon technologies by low-carbon ones), market demand changes(e.g., consumer preference for low-carbon products and products that are certified), andreputational concerns (e.g., changes in consumer and communities perceptions ofa company/organization).
Physical Risks: Physical climate risks are the potential impact of weather and climatic
events affecting a given entity (farm, company, FI, or household), as a result of theinteraction between a climate-related hazard, and the exposure and vulnerability of theentity facing this hazard (IPCC, 2023). These hazards can be acute or chronic. Acutehazards are short-term severe and extreme events that cause immediate harm (e.g.,
flooding, drought, typhoons, etc.). Chronic hazards are gradual changes to the climate(e.g., rising temperatures, changes in precipitation patterns, changes in crop suitability
areas, etc.).
Besides being affected by climate hazards, agriculture is also susceptible to biologicalhazards, which are conveyed by biological vectors, such as bacteria, viruses, andmosquitoes, and can cause negative impacts on agriculture production, disturb farming
systems and disrupt markets and trade, as well as cause harmful effects in humans(FAO, 2021*). Examples of recent biological hazards affecting the agriculture sector are
COVID-19 pandemic, desert locusts in Eastern Africa and Southwest Asia, and African
Swine Fever outbreaks in Southeast Asia.
* https://www.fao.org/3/cb3673en/cb3673en.pdf

Top photo: Port in Côte d’Ivoire. Innovations are helping the shipping industry reharness
the power of wind. Source: World Bank webpages
Middle photo: Satellite imagery of flooding in Australia. Source: Nearmap
Bottom photo: Mapping of air pollution resulting from the impact of the COVID-19 pandemic
Source: NASA
8 MARKET MAPPING

2
FeatureSource: AIRBUSDSHow Satellite Data Has Transformed Agriculture*
The agriculture sector first began to make use of satellite
data in 1972, when NASA’s Landsat program began supplying
regular images of Earth. The sector is now in a golden age ofsatellite quality, availability, and open data applications, which
has led to the launch of dozens of start ups providing products
and services to individual farmers, collectives, and relevant
sector actors. This leveraging of satellite data, coupled withadvances in farming techniques and materials, are instrumental
in improving harvests, maximizing supply chain efficiencies, andmitigating crop loss. Such developments are crucial in the faceof climate risks and other threats to the global food supply.
Data HarvestingStandard RGB imagery provides a good overview for farmmanagers, though most vegetation indexes—obtained byanalyzing the reflectance of the leaf canopy—rely on parts ofthe electromagnetic spectrum not visible to the naked eye.

Agricultural Applications
The most common use for satellite data in agriculture is farmmanagement, whereby farmers visualize the state of their fields
and monitor crop health against seasonal calendars. Aerial
scouting is used to check for specific diseases or to measure
the impact of applications of agricultural inputs (e.g., nitrogen,fungicides) at different rates depending on crop needs.
Satellite imagery can be used to predict yield per acre—
especially effective when combined with deep learningtechnologies: Crop canopy reflectance is tracked over thegrowing season—to assess chlorophyll content, for example—
and combined with climate, topography, and soil data. The
data is mined and analyzed to give more accurate predictionsof yields than traditional methods.

Normalized difference vegetation index (NDVI) is one of thebest-known products from spectral analysis, but there are also
indices adjusted for soil, or based on the detection of water,
moisture, or chlorophyll, which can all be of use at different
stages throughout a crop’s life cycle.

Agricultural insurance has become a major use case forsatellite data and is increasingly relevant in the face of
extreme weather. Insurance companies use remote imaging
either to complement or substitute for on the scene
damage inspections, as the imagery can make appraisals
more transparent, objective, and scalable than traditional
examination of a section and then extrapolation.

Hyperspectral data: holds huge potential in the identificationof specific problems, like lack of a specific nutrient, and has
applications in plant breeding. Hyperspectral data has incredible
precision, with the capacity to hone in on individual plants.

Data from satellite imagery can help estimate the amount ofcarbon that a farm is able to capture (e.g. captured by thevegetation on the farm), with farmers then able to sell it tocompanies needing to offset their CO2 emissions.

Synthetic aperture radar (SAR): a type of imagery that canbe captured at any time of day, and even through cloud cover.
Its best use is for monitoring large areas on a regular basis—tomeasure seed emergence, ensure compliance, or to assess
whether a crop is ready to harvest.

*The content in this feature has been primarily sourced from:https://geoawesomeness.com/eo-hub/how-satellite-data-is-transforming-agriculture/

Source: farmmanagement92. METHODOLOGY

DSP
FSP

The analysis underlying this report was conducted in three distinct phases.
First, firms offering tools and services were identified and a framework
was developed to categorize the tools and services. Firms with similar
characteristics were grouped together. Second, a company profile template
was developed, and relevant firms were interviewed to complete the profiles(please see the Annex). Third, the interviews and profiling exercises helped toestablish a decision tree for financial service providers (FSPs) to select tools
according to their specific needs.
PHASE 1This report aimed tomap digital solutions
supporting financial
services providers inassessing climate impact
on agricultural portfolios.
Given the wide range ofanalytical capabilities,
applications, coverage,
delivery method andbusiness models, ataxonomy was developed
to capture different
solutions and facilitate
their evaluation.

10 MARKET MAPPING

Market scoping: This initial phase focused on a broad market mapping of 87
digital solutions providers offering products that identified, measured, and/or
clarified the impact of climate risks on agricultural production (full list of climate
risk digital solutions provided in the Annex). The intent of this exercise was tocast a wide net of climate risk digital solutions in order to include both offerings
that work directly with FSPs in the agriculture sector, as well as offerings
directed at other value chain actors (e.g., agribusinesses, farmer cooperatives,
insurance providers). Industry-leading resources and proprietary databases
were used to facilitate the scoping exercise, although there may be additional
providers that were missed when developing this list. The following chart
illustrates the process.

Source:WBwebpage

Figure 1: Scoping Process

85

Providers
Focused on
climate risk

Meets
Baseline
Criteria?
1. Operationalfor 1+ year

2

TURNKEY OFFERING

Yes

68
ProvidersCurrent FI
offering?
Yes

2. Existing
capabilities& focusNo
17
ProvidersNo

Directly
Relevant

Agriculture focused
operational in emerging markets

16
Providers

Agroclimatic Risk Offerings for FIs
Emerging Markets

Agriculture focused
not yet operational in emerging markets

2
Providers

Agroclimatic Risk Offerings for FIs
Developed Markets

Not agriculture focused
operational in emerging markets

12
Providers

Climate Risk Offerings for FIs
Emerging Markets

Agriculture focused
operational in emerging markets

19
Providers

Adjacent Agroclimatic Risk Offerings for FIs
Emerging Markets

Not agriculture focused
not operational in emerging markets

19
Providers

Deprioritized(36 Providers)Potentially
Relevant
as theBusinesses
EvolveNot
Relevant
POTENTIAL OFFERINGS

Phase 2
Baseline screen: In the second phase, each digital solution
identified was screened against three filter criteria:
1. Operational for one or more year(s)2. Capabilities to assess climate risk
(i.e., not purely offering climate advisory services)
3. Agriculture focus/operates in emerging markets

The criteria reduced the identified number of solution
providers to 49. An analytical framework (Figure 2) wasestablished for further segmentation of these digitalsolutions, based on type of products, experience inagri sector, and market coverage FSPs. These solution
providers were grouped into five categories with different
analytical capabilities and client targets:

Figure 2: Analytical Framework
Taxonomy

Definition

Sub-categories

ClimateIntelligence Provider
Companies primarily
focused on collecting
and analyzing
environmental data

Data Capture & Monitoring
Intelligence & Reportin
Predictive Analytics Platform
Specialized Risk Modeling

Value Chain
Management & Decisioning

InsurTech

Financial Analytics
Company

Public Good
Initiatve

Solutions designed tofacilitate more efficientand effective interactionsin the value chain

Technologies and platforms
that help optimize any ofthe principles for success or
requirements of insurance

Firms primarily focused onproviding financial market
data, analytics, or research
to financial sector participants

Government, NGO, or
non-profit sponsoredinitiatives aimed atincreasing transparency
around climate risk

Value Chain Management
Precision Agriculture
Advisory

Insurance Support Provider
Insurance Broker/Facilitator
Reinsurer

Credit Ratings Provider
ESG Monitoring Solution
Farmer-focused Fin Analytics
Climate Finance Advisor
Internal FI capability

Climate Data Services
Communications &Information Sharing

Examples11Phase 3
In-depth profiling: Fourteen digital solutions providers
supporting financial services providers with assessing
climate impact on agricultural portfolios were selected
for in-depth profiling. Selections were based on thefollowing criteria:•••

Current lending risk offering
Operational in emerging markets
Agroclimatic focus

Using a company profile template that focused on:

•
•
•
•

Tools and Services
Target Customer
Modeling: Technical Dimensions
Modeling: Commercial Dimensions

The fourteen firms were interviewed (see Annex
for their respective profiles) in order to ascertain
the tools, services, offerings for commercial banks
and agribusinesses, and the methodologies used inassessing climate risk. The fourteen firms were thengrouped into four categories, as seen in Figure 3.

Figure 3: Categorization of the DSPs

Taxonomy

Agroclimatic Risk
Offerings for FIs
Ememrging Markets

ClimateIntelligence
ProviderADAPTA
JupiteragCelerant
Mantle LabsAgroClimatica Planet
ClimateAISatelligence
GroIntelligence SatSure
ImpactTerra
YAPU

Value Chain
Management& Decisioning

Agritask
CropinAgroclimatic Risk
Offerings for FIs
Developed Markets
AgCurate
Agryo

Climate Risk
Offerings for FIs
Emerging Markets

Adjacent Agroclimatic
Risk Offerings
Emerging Markets

Accuweather for Business
Acin
CervestClimate X
Planetrics (McKinsey)
The Climate Service (S&P)
Sowit

6th Grain
Hummingbird Technologies
Numer8Praedictus
Rezatech
Syecomp
Weather Impact

agCelerant
Mozar3

FarmERP
Koltiva
SCOPEinsightVillage Link
ACRE Africa
Blue Marble
Descartes
OKO
PlanetWatchers
Pula

Insurtech

Financial
Analytics
Company

FarmDrive
Rabobank

PublicGood
Initiative

InsuResilience Partnership
World Bank Group Agriculture Observatory

12 MARKET MAPPING

Aladdin Climate ISS ESG
Dow Jones
Moody’s
IHS Markit
MSCI

Key:

Prioritized for Phase 2

For the purpose of this report, firms focusing
on developed markets were excluded, leaving three
distinct categories:•••

Turnkey solutions: Digital Solutions Providers
with climate risk analytics in agriculture, a current
lending risk offering, operations in emerging
markets, and a demonstrated focus on the
agriculture sector. These providers target a morediverse clientele in emerging markets, including
agri value chains, government policy formation,and lending operations.
Financial institution-targeted solutions primarily
operating in developed markets: Digital Solutions
Providers who work with FSPs, but whose current
clients are primarily in developed markets (e.g.,real estate companies, asset managers, or hedge
funds). While their current client base is centeredin developed markets, some providers have thecapabilities to operate in emerging markets.
Adjacent agroclimatic risk solutions: Digital
Solutions Providers who assess climatic risk inagriculture in emerging markets, but do notcurrently have lending risk offerings. Primarycustomers include agribusinesses, NGOs, research
institutions, governments, farmer cooperatives, orinsurance companies.

2
Key Findings
The analysis revealed nuances in the types of analyticalcapabilities and applications between and within eachof these categories, including differences in productdelivery, customization ability, pricing structure, and data
integration. Key findings suggest:•

STRONG RELIANCE ON PUBLIC DATA
Nearly all Digital Solutions Providers interviewed havehistorically relied primarily on public data (e.g. Sentinel
satellite data), and use purchased or proprietary data
coupled with machine learning algorithms to fill indata gaps and boost resolution.

•

MOVE TOWARDS VERTICAL INTEGRATION
Both upstream and downstream providers appear
to be vertically integrating. This is demonstrated
in the downstream player, SatSure, launching
its own fleet of satellites, and upstream players(e.g., Planet) developing their own databases andplatforms.

•

VARIED DEFINITIONS AND SCOPE
Providers tend to define “climatic risk” differently,
but most products focus on physical risks.

•

CLIMATE INTELLIGENCE PROVIDERS ARE
INCREASINGLY OFFERING SUPPORTINGSERVICES
Many providers utilize their data to offer auxiliary
services, such as value chain traceability or advisory
services, that appeal to agribusinesses, SHFs, and/or
financial institutions.

13

DSP
Financial Sector
Opportunities

Climate Impact
Products & Services
Emerging Market
Landscape3. The Solutions Landscape
1. MARKET OVERVIEW
The global agricultural tech (AgTech) market has expanded rapidly over the last
decade. In 2020, GSMA tracked more than 700 digital agriculture services—a
substantial increase from the 53 services mapped in 2009. This universe of
AgTech solutions includes digital technologies with promising application for
FSPs working in the agriculture sector to quantify the climate risk impacting
agricultural production and assist lenders in making more informed decisions.
The focus of this mapping lies on the latter.

2. DRIVERS OF CHANGE IN THE FINANCIAL SECTORThis chapter provides
additional detail on
different climate risk
digital solutions, andoutlines a number ofconsiderations for FSPs
when determining

The landscape of companies offering digital solutions supporting FSPs in
assessing climate impact on agricultural portfolios is expected to expand
from US$800 million in 2021 to US$4 billion by 20275. This expansion is being
driven by compliance considerations, such as climate disclosures required bycentral banks and global regulators, policies, actual financial losses due to acutehazards, as well as digital technologies enabling collection and analyses of datapreviously unavailable for agriculture.
•

the best and mostappropriate DSPs toengage.

14 MARKET MAPPING

Global regulators in developed markets, such as in the EU, Japan, UK,
and US have placed a greater focus on identifying, measuring anddisclosing climate-related financial risks. In 2022, the United States
Securities and Exchange Commission proposed rules that would increase
the disclosure of climate related risks by FSPs. The Bank of England recently
executed exploratory climate stress testing, which included large UK banks
and insurers6, while the ECB held climate stress tests in 2022 to assess
how prepared banks are for dealing with financial and economic shocks
stemming from climate risk.7 Aside from developed markets, numerous
other countries such as Kenya, Morocco, and South Africa now have central
bank-led climate risk assessments and management guidelines.

5

https://www.verdantix.com/report/market-size-and-forecast-climate-risk-digital-solutions-2021-2027-(global)

6

Bank of England, “Results of the 2021 Climate Biennial Exploratory Scenario (CBES),” May 24, 2022, https://www.
bankofengland.co.uk/stress-testing/2022/results-of-the-2021-climate-biennial-exploratory-scenario

7

European Central Bank Banking Supervision, “2022 Climate Stress Test” (European Central Bank (ECB), July 2022), https://www.
bankingsupervision.europa.eu/ecb/pub/pdf/ssm.climate_stress_test_report.20220708~2e3cc0999f.en.pdf

•Climate regulations in importing markets arepushing FIs in exporting markets to evaluate
transitional risks (carbon footprint and risk of
deforestation) for clients with importing markets
exposure. For instance, the European Union’s
Carbon Border Adjustment Mechanism8 (CBAM)
proposes to apply a carbon price adjustment
for import products to make them equivalent tothe carbon price of domestic production. CBAM
currently does not apply for any agricultural
products, but it is likely to be included in the future.

•

Impacts and opportunities from climate change
have spurred certain banks and investors tovoluntarily improve and increase their climaterelated financial information disclosures (i.e.,through the Task Force on Climate-related Financial
Disclosures (TCFD) framework).

•

Developments in satellite and drone imagery andweather data, when combined with data science
applications, have enabled collection and analysis of
traditional and non-traditional data used by FSPs tomake informed investment decisions and monitor
their portfolios in a timely (even real-time), low-costmanner. FIs are now able to estimate a borrower’s
ability to repay by projecting future crop yields
based on farm geolocation, remote sensing data,and crop yield forecasting.

Source: WBwebpage
8

3

3. HOW DIGITAL SOLUTIONS ASSESS CLIMATE RISKON AGRICULTURAL PORTFOLIOS WORK
Data is key to all business models offering digitalsolutions supporting financial services providers toassess climate impact on agricultural portfolios, but
the offering of each solution provider depends on theirability to access data and automate the analysis.
1. Data analysis and modeling: To build climate risk
models, solution providers collect historical andreal-time data, such meteorological and hazards
events, which are overlayed with administrative
boundaries, topographic and other data ofinterest. In a second step, crop yields and livestock
productivity are estimated based on simulation
models and machine learning algorithms are later
applied to fill in data gaps, boost resolution andimprove prediction. Most part of the data used inthis modeling part depends on public data sources- primarily, but not exclusively, satellite imagery andhistorical climate data, as well as commercial andprivate data, such as drone imagery, inventories,
emission factors, carbon density measurements,
deforestation monitoring, etc.
2. Risk scoring: At a slightly more advanced level,
providers translate data into risk scores using
in-house methodologies. These methodologies
are heavily dependent on the provider and thetype of climate risk assessed. Risk score offerings
include farm credit risk analysis, portfolio-level risk
management, and risk capital allocation by type ofclimate risk. Providers vary in terms of the degreeof adaptation in their risk scoring models anddegree of machine learning “trainability” to specificcrops and geographies. Select providers are able
to integrate client data, such as farmer financial
history, into the risk decisioning process.

https://taxation-customs.ec.europa.eu/green-taxation-0/carbon-border-adjustment-mechanism_en#:~:text=The%20EU’s%20Carbon%20Border%20Adjustment,production%20
in%20non%2DEU%20countries.
15

3. Predictive analytics: Some solution providers also
create future models using predictive analytics,
generally backed by AI. These predictive models
can include crop yield projections, climate risk
assessments and long-term climate change scenario
forecasting. Providers offer these predictive models
as independent reports or incorporate them into
their risk scoring.
4. OVERVIEW OF COMPANIES OFFERING DIGITALSOLUTIONS SUPPORTING FINANCIAL SERVICESPROVIDERS IN ASSESSING CLIMATE IMPACT ON
AGRICULTURAL PORTFOLIOSOn the supply side, the landscape revealed 84 providers
offering broad climate risk analysis services relevant
to FSPs, agribusinesses, and other stakeholders.
However, only a few standout providers (~10) appear
to offer agroclimatic risk services tailored for FSPs
lending to the agriculture sector. These are a mix of
FSP-first providers, whose core business model is tooffer agroclimatic lending risk services for FSPs (e.g.,
Agroclimatica, Mantle Labs), and those that work
primarily with agribusinesses, but have expanded theirbusiness models to include financial institution offerings(e.g., CropIn, SOWIT). Solution providers fall into fivecategories:
1. Climate Intelligence: Digital solutions
primarily focused on collecting and analyzing
environmental and climatic data

4. Financial Analytics: Solutions primarily focusedon providing financial market data, analytics, or
research to financial sector participants
5. Public Good Initiatives: Government, NGO,or non-profit sponsored initiatives aimed atincreasing transparency around climate risks
The majority of digital solutions cataloged in thisresearch fall within the first category of broadclimate intelligence. This category includes both
FSP-first providers (e.g., SatSure) and those thatwork primarily with agribusinesses or other value
chain participants (e.g., 6th Grain, agCelerant).
A smaller subset of providers — categorized as
financial analytics companies — primarily focus on
FSPs; however, the analysis showed only a few offer
relevant agroclimatic services for financial institutions.
The three remaining categories — Value Chain
Management and Decisioning (Mozare3), Insurtechs(Pula), and Public Good Initiatives — are providers
that collect and/ or analyze climate risk data, but
their business model is not centered around FSPs.
Within these categories, only a handful of providers
appear to have successfully pivoted or expanded
their model to include offerings for FSPs (e.g.,
CropIn). The five types of providers offer either
turnkey solutions, solutions for financial institutions
or adjacent solutions.

2. Value Chain Management and decisioning:
Digital solutions designed to support more
efficient and effective interactions throughout
agri value chains
3. InsurTech: Technologies and platforms that help
optimize any of the principles for success or
requirements of insurance

16 MARKET MAPPING

Source: WBwebpage

4.1 TURNKEY SOLUTIONS FOR EMERGING MARKETS
Six of the sample 15 providers offer turnkey solutions
providing agroclimatic risk services to inform lending
decisions in emerging markets. Turnkey solution providers
meet all three thesis criteria: (i) offer lending risk
assessment; (ii) operational in emerging markets; and (iii)
demonstrated focus on the agriculture sector.
While these providers offer similar services for FSPs,
there are nuances in their methodologies, data sources,
and product delivery models. Agroclimatic, Mantle Labs,
SatSure and YAPU are all FSP-first offerings—meaning theircore business models revolve around providing climate
risk services for financial service providers. All four operate
proprietary platforms that offer credit risk decision support
for commercial banks and microfinance institutions. Eachof these providers can assess both individual and portfoliolevel risk. Mantle Labs typically positions their offering as
portfolio-level, while the other three providers appear tofocus primarily on individual farm-level risks.

3

The remaining two of the six turnkey solution providers
focus on value chain management first and offerings to
FSPs second. CropIn began as a value chain management
solution and has since expanded to include agroclimatic
risk services for FSPs. The latter offering is similar toother FSP-first providers and also includes a proprietaryplatform. Satelligence is a climate risk provider focusedon deforestation and carbon monitoring. It looks primarily
at value chain and portfolio-level risks for both FSPs andagribusinesses, with analyses delivered in the form ofreports and raw data exports.
Many of these turnkey providers also offer auxiliary
services—such as farm management solutions, value chain
digitization, and advisory services—as documented in thedetailed provider profiles in the Appendix.

Figure 4: Turnkey Solutions Provider Overview

Taxonomy

ClimateIntelligence Provider

ClimateIntelligence Provider

Brand
Positioning

Platform that assesses
agroclimatic risk at anindividual farm levelto assist FIs in making
objective lending
decisionsRemote sensing
company monitoring
forest landscapes forreal-time value chain
risks

Decision intelligenceplatform assessing
agroclimatic risks, withfull banking suite

Agribusinesses
Govt/NGO
FIs

Agribusinesses
Govt/NGO
FIs

Agribusinesses
Govt/NGO
FIs

Agribusinesses
Govt/NGO
FIs

Agribusinesses
Govt/NGO
FIs

Agribusinesses
Govt/NGO
FIs

Real-time value chain
environmental risk
monitoring

Individual loan level
credit risk analysis

Individual loan level
credit risk analysis

Proprietary platform

Portfolio level risk
management

Portfolio level risk
management

Farm-level shortterm climate risk
assessments

Client
Focus

DegreeofAnalysis

Individual loan level
credit risk analysis
Portfolio level risk
management
Predictive analytics

Product
Delivery

Proprietary platform

Portfolio level risk
management
Customizable reports

ClimateIntelligence Provider

Proprietary platform
Customizable reports

ClimateIntelligence Provider

Value Chain
Managment Solution

Financial Analytics
Company

FI-centric CRM platform tofacilitate resilient finance inagriculture sector

AI-enabled agriculture
value chain management
software to digitallyconnect value chain

Automated financial
analytics platform forbanks, insurance, and asset
managers to make lending
decisions and monitor
portfolios

Portfolio allocation

Portfolio and regional
level risk assessment

Proprietary platform
API integrated platform
Customizable reports

Proprietary platform
API integrated platform
Customizable reports

Customizable reports

Proprietary platform
API integrated platform

17

4.2. FINANCIAL INSTITUTIONS-TARGETEDSOLUTIONS PROVIDERS
There are providers that collect and analyze climate risk
data, but do not yet offer solutions that are fully relevant
to lending in the agriculture sector within emerging
markets. Discussions with these providers revealed
varied business models, as well as potential futureapplicability of these broader climate risk services.
Providers that work with financial institutions indeveloped markets primarily operate as technology
firms out of North America and Europe. From thesample, four providers fell into this category: ClimateAI,
Climate X, Gro Intelligence, and Jupiter Intelligence.

From Value Chain Management
to Financial Services

exampleFounded in 2010, CropIn achieved scale
as a B2B model focused on value chain
management and digitization. To date, it has
worked with over 250 business partners to digitize
more than 16 million acres of farmland. Their work
centers around data capture at the individual
farm level, using on-the-ground teams andsatellite imagery to assist agribusinesses in farmmanagement and traceability.
While CropIn has historically worked withagribusinesses, the company recognized that its
data can also be used to assist FSPs in the credit
decisioning process. Therefore, CropIn launched
SmartRisk: a satellite and weather-based AI/machinelearning platform that assists FSPs in credit decision
support and loan recovery. This platform combines
satellite imagery, weather data, and on-the-grounddata to detail agroclimatic risk at both the individual
farm and regional levels.
18 MARKET MAPPING

Understandably, these providers possess advanced inhouse analytics capabilities. While many indicated thatthey have the ability to operate globally, they choose
to focus on developed markets, physical assets, and/or
highly profitable value chains (e.g., wineries, palm oil).
Similarly, instead of offering climate risk services to FSPs
in emerging markets, they tend to work with real estatecompanies, hedge funds, asset managers, or insurance
providers in developed markets. Some providers notedthat their price point is likely too high for microfinanceinstitutions at this time.

exampleFounded in 2014, 6th Grain works totransform satellite and farm data into
actionable insights for players in the agriculture
sector. It offers both regional and individual farmlevel analysis. One of its core offerings is predicting
optimal growth curves through coupling abiotic andbiotic risk assessments. These services are highly
customizable based on client needs. 6th Grain has
worked extensively with large agribusinesses in subSaharan Africa to facilitate farm mapping and related
insight generation.

exampleClimateAI is a SaaS solutionthat uses satellite data (andsometimes local data) to project the probability ofclimate risk impacting crop yield and then translates
this risk to financial implications. It offers both shortand long-term forecasts. The majority of its work
appears to be in developed markets — for example,
ClimateAI recently did a regional assessment on theimpact generation.

3

exampleMozare3 for Agricultural Services(Mozare3) is an Egyptian AgTech firm
offering contract farming solutions to SHFs. Usinga suite of four applications, Mozare3 provides SHFs
with access to market, in kind input financing, andagronomy support. Mozare3 is focusing on highvalue export crops such as sesame, strawberries,
peppers, cucumbers, etc. Launched in 2021,
Mozare3 secures off-take agreements with credible
manufacturers and exporters as anchors. SHFs aresupported by a team of agronomists who support
and oversee crop yields and quality. Financing
offered is currently focusing on in-kind input credit
to contracted farmers, which is repaid through adeduction from the SHFs’ last payment installment.

source: SOWIT

source: 6th Grain

4.3. ADJACENT AGROCLIMATIC RISK SOLUTIONS
Adjacent agroclimatic risk solutions tend to largely betailored to agribusinesses and insurers, rather thancommercial banks or MFIs. From the representative
sample of 14 providers, four adjacent climate risk digitalsolutions were identified: 6th grain, Praedictus, Pula,and Weather Impact. SOWIT is focused on providing
services to farmers, but also directly sells data sets to
two banks in Morocco.
Some providers (e.g., 6th Grain and Pula) indicated thatthey have explored selling their data to commercial banks
but failed to generate sufficient demand for their offerings.
Despite these setbacks, there remains strong potential forthese providers to offer climate risk services to FSPs.

source: Weather Impact

source: Cropin
19

CASE STUDY
agCelerant’s
hyperlocal data
ecosystem lays theground for phygital
agriculture andinclusive value chains
agCelerant, a nextgen value chainorchestrator uses
geo mapping anda digital platform
combined withproximal presence
and value chain
expertise toconnect farmers in
Senegal with credit,
insurance, inputs,
and buyers, thereby
addressing Senegal’s
longstandinglack of access tocapital and financesin smallholder
agriculture, andhelping the country
achieve foodsovereignty.

20 MARKET MAPPING

agCelerant, a next-gen value chainorchestrator uses geo mapping and adigital platform combined with proximal
presence and value chain expertise toconnect farmers in Senegal with credit,
insurance, inputs, and buyers, thereby
addressing Senegal’s longstandinglack of access to capital and finances insmallholder agriculture, and helping thecountry achieve food sovereignty.
A properly functioning agriculture sector
is critical for Senegal. President Macky
Sall has shared the conviction that
‘Senegal can feed itself’ – an ambitiousgoal, given Senegal’s population has
doubled to 17 million over the past 30
years and currently imports roughly 60%
of rice consumed locally. To achieve
independence from rice imports, thecountry must improve its rice production.
This requires increased productivity
through access to better inputs, likeseeds and fertilizer and reducing postharvest losses through accelerated,
appropriate-scale mechanization as wellas improving the country’s value chainsoverall capacity to deliver quality rice toincreasingly urban consumers.
agCelerant builds on the foundational
concept of phygital agriculture, acombination of physical presence
through agents and utilization of data.
Phygital agriculture recognizes that
digital technologies alone cannot solve
the arduous problem of getting highly
complex, heterogeneous systems likesmallholder value chains to function
efficiently. Overcoming informationand power asymmetries and theinefficiencies of informal markets
requires deep contextual knowledge
which is only achievable throughsophisticated value chain expertiseand nimble, proximal presence.

agCelerant thus aggregates smallholder
farmers into an organized value chain
through proprietary franchise networks(agents) and hyperlocal data ecosystems
that profile farmers, structure access toquality inputs, support compliance withgood agricultural practices, secure harvest
produce offtake, and make contracting
simple, safe, and effective. agCelerant
platforms concomitantly act as online dataarchives on farmer practices, harvests,
and livelihood outcomes, meaningthat with each and every incoming
farm and plot-level data record, newknowledge is generated, and foresights
about Senegal’s agriculture improve.
agCelerant’s deployment is accompaniedby agCelerant Academy, to train andhandhold newly onboarded franchise
agents, and by agCelerant Factory, tofacilitate its penetration into new markets
and industrialize services through thedesign and exploitation phases.
agCelerant operates under the premisethat access to credit is only possible
once investment risk is quantified. The
platforms’ constant data entry continually helps reduce risk, liberating resources
for further expansion and scalability ofservices, thus building trust between
the agricultural and financial sectors.
agCelerant builds unique data infrastructures required to track production andtransactions in smallholder value chainsthrough to final consumers, making
the farm to fork concept a reality. The
resulting traceability, transparency, andaccountability are paramount for primarybank and industrial investments forthese smallholder markets. agCelerant isalso deployed in Benin, Niger, Nigeria,
and six other African countries.

4.4 PRODUCT DELIVERY MODELS

A service market built on customization

Depending on the provider, clients can access risk analyses
via standalone or integrated solutions, as mapped below.

There is a range of ever-evolving capabilities andproduct delivery options that turnkey providers use toserve FSP lending in agricultural markets. While someproduct offerings have standardized delivery models
and analytical options, a key finding from the research isthat—in almost every use case — providers are willingto customize both the service configuration and pricing
model to suit the client.

Pricing models for turnkey providers tend to be fairly
standardized based on product type, with slightdifferences in terms of fixed vs. variable pricing.
Standalone reports are generally priced as either a fixed
cost per report or a variable cost based on the amount ofdata collected. Provider platforms, whether standaloneor API integrated, tend to be subscription-based, with afew providers offering a fee per loan assessment. Costs
for customized development of in-house risk management
platforms are fully dependent on the project.
Providers package these offerings at individual farmer,
portfolio, value chain, or regional levels. The analysis
showed that, as long as providers have the geo-tagged
location of the farm, they are able to assess individual
farm risk (though this data is only accessible to the end
consumer with certain product offerings).

Some service providers (e.g., CropIn) assign a productmanager and technical data science team to eachclient and work with them to customize the offering.
YAPU offers a full platform development service that isfully customizable to each client. This is an important
aspect of the market, as it reflects the unique ways thatdecisioning tools and datasets are utilized by FSPs—
often needing to fit into other customized processes andsystems that already exist.

Figure 5: Product Delivery and Pricing Models
Standalone Solutions

Integrated Solutions

Delivery
ModelStandardized
Reports

CustomReports

ProviderPlatform

AP Integration
within FI Systems

Customized FI
Platform Development

Description

Automated reports or data
exports tailored to client
scope (i.e., geo, crops)

Customized analyses orassessments based on client
needs

Proprietary platforms accessible
to clients, generally allowing forclient data to be incorporated

Direct API that allows for data
and risk scores to be directly
fed into FI systems

Consultancy services to assist
FIs in building internal risk
management platforms

Price per report (CropIn,
Satelligence, SatSure)

Price per report (CropIn,
Satelligence, SatSure)
Variable pricing by amountof data collected (YAPU)

Subscription fee per user
(Mantle Labs - under 50 users,
SatSure, YAPU)
Price per loan assessed(CropIn, Mantle Labs - 50+
users)

Dependent upon client
project (YAPU)

Variable pricing by amountof data collected (YAPU)

Subscription fee per client(Agroclimatica, Satelligence)
Subscription fee per user
(Mantle Labs - under 50 users,
SatSure, YAPU)
Price per loan assessed(CropIn, Mantle Labs - 50+
users)

Relevant
Producer
Pricing21

3

4.5 GUIDANCE FOR FSP ENGAGEMENT

Increasing Importance of Climate Risk Tools andServices
As noted, climate risk is directly impacting the qualityof FSP’s portfolios. Therefore integrating climate risk
assessment in credit appraisal will help FSPs to makeinformed lending decisions. In the absence of proper
methodologies to assess climate risks and understanding
vulnerability, many FSPs often choose to avoid lending
to the sector, in turn contributing to the already large
financing gap for SHFs and agri-SMEs. For instance, FSPs
may resort to restructuring loans or limiting agriculture
portfolios if they feel that risks resulting out of climatechange impacts on agricultural production pose too higha risk. In doing so, FSPs miss out on opportunities toexpand their portfolio in the agriculture sector.
Fortunately, the advent of providers offering innovative tools
and services to identify, measure and manage agroclimatic
risks has enormous potential to help FSPs navigate theseincreasingly apparent risks. FSPs can capitalize on thesetools and services to help grow their agriculture portfolios
and make informed lending decisions that account for
agroclimatic risk.
Furthermore, amidst the evolving climate risk regulatory
landscape, providers can assist FSPs in complying with new
regulations related to climate. For instance, in conversations
with providers, (primarily those in the category “FI solutions
primarily operating in developed markets”) they indicatedincreased demand from UK FIs for climate risk data services
in response to the Bank of England’s exploratory climate
stress tests. Although these regulatory requirements are
not yet widespread in developing markets, they will almost
certainly emerge in the coming years as countries seek
to transition to net zero greenhouse gas emissions andaccelerate financing for climate investments. These providers
can work with FSPs to supply and analyze the climate risk
data they need to meet regulatory requirements.
22 MARKET MAPPING

Improving accuracy by collecting geospatial
information of clients
FSPs will fully benefit from using digital solutions if they
have geo-location information of their borrowers. Currently,
most of the FSPs have the registered addresses of theborrowers but don’t have the exact location (ideallycoordinates) of their borrowers’ assets and business
operations. The precise location is ideal for accurate
mapping and analysis, but in their absence, a partial address
may be used, which may include information such as astreet, neighborhood (e.g., postal codes), or administrative
unit (e.g., town or district or county).

exampleThe SOWIT platforms provide
farmers with actionable insights
regarding their land(s), that help them efficiently
manage their farms and optimize their productions,while also providing data to Ag organizations that
help them mitigate risk, manage investments, andperformance. The SOWIT platforms provide farmers
with actionable insights regarding their land(s),that help them efficiently manage their farms andoptimize their productions, while also providing
data to banks that help them mitigate risk, manage
investments, and performance.
Using soil and irrigation data can form the basis for
FIs to explore new opportunities for lending. If forexample a crop in a specific area is susceptible todrought, the FI could offer financing for irrigation or
finance farmers switching to another more drought
resistant crop and enable FIs to extrapolate what
may happen with a crop in a specific area due toclimate change over time, enabling a FI to manage
the resulting risk.

CASE STUDY
SatSure’s Decisioning
Framework for Agriculture
Lending
SatSure worked with
one of India’s largest
private sector banks
to develop a customized
agricultural lending
decisioning framework linked
to crop performance,with the aim of increasing
lending to smallholder
farmers.
The bank wanted to increase its
agriculture portfolio, specificallyloan services, in rural India.
However, the bank faced challenges
typical of the sector, including
resource allocation, dependency
on field officers, and limited
digitization. The bank also struggledwith limited access to alternate dataand information on smallholder
farmers, such as climate risk insightsthat impact lending decisions.
To address these challenges, thebank engaged SatSure to establish
a decision-making framework forlending to smallholder farmers
throughout the loan cycle,
from underwriting, to portfolio
monitoring, to loan collection.
The decision-making framework

incorporated data-led models thatassess crop production risk throughlinking crop performance in thecurrent season, historical risks, andother ancillary parameters such as
weather and climate. Through thisframework, the bank built a businessstrategy for agricultural lendingthat allowed them to consider
agroclimatic risks and createcustomized plans to reach farmers at
the right location and time.
Through this engagement, the bankrelied on SatSure’s core productsuite: SatSure Sage, a loan life cycle
risk management product suitethat informs agri-lenders on key
decision-making insights for credit
underwriting, portfolio monitoring,and loan recovery management.
SatSure worked with the bank to tailor
the offering to fit the bank’s specificrequirements and challenges. The
SaaS offering comprises an online
dashboard and mobile application thatenables all individuals in the lending
decision making process to accessthe data and information, at both theindividual and portfolio level. Throughthe mobile application, field officers
collect and digitize customer and farm
information. This data is combinedwith other parameters, including crop
yields, irrigation conditions, weather
insights (18 parameters in total), whichallows SatSure to generate an
asset (land) score and rating
system to help the bankmake informed lending
Source: agricultor

1
3

decisions. During the production
phase, SatSure Sage also helped thebank track crop growth stages using
satellite imagery, such as harvest
progression, to determine repayment
potential, and, when necessary, create
efficient recovery plans.
As a result, the bank was able
to build a robust lending review
mechanism with real-time
information and data consolidation
for its rural lending portfolio. SatSure
was ultimately able to address:i) high agricultural loan recovery
costs ii) digitalizing and tracking
their field officers, activities, andresolution efforts iii) equipping
the bank’s resources with theinformation needed to assess ruralloan recoveries and iv) providing
alternative data sources, including
satellite-based crop and weather
forecasts to incorporate their impact
on lending portfolios. Through thisengagement, SatSure helped thebank assess agroclimatic risks in anenvironment with historically poor
data infrastructure. Ultimately, thisallowed them to make informed
lending decisions while increasing
financing to smallholder farmers.

23

Based on this research,
FSPs should consider
the following primary

FSP CONSIDERATIONSFOR ENGAGING PROVIDERS

questions when
determining the typeof provider to engage.

What core and supporting services
are needed?
There are a broad range of tools andservices offered that can assist FSPs
throughout the credit decisioning process,at both the individual and portfolio levels.
The graphic below breaks out a typical loan
cycle, along with example use cases andthe applicability of different turnkey service
providers at each step. Most turnkey
service providers offer services that are
applicable across the loan cycle. FSPs must
consider what specific support would be
most useful (i.e., their core needs) within
their current lending process and systems.

How can services be best configured
to support the needs?
Product delivery models vary, but the twomost common are reports or platforms.
Reports tend to be delivered quarterly or
annually, and generally detail long-termclimate risk at a regional or portfolio level.
While providers can customize reports
based on their needs, they generally do

24 MARKET MAPPING

not incorporate client data. Reports have
many use cases—for example, Satelligencecombines satellite, value chain linkage, andon-the-ground data, and then uses AI tocreate actionable maps that show changes
in carbon stock over time. This analysis
is delivered to clients in the form of PDF
reports on a quarterly or annual basis; orclients can export raw data to integrate
into their own systems.
Platforms are more dynamic; they can be
standalone or fully integrated into theclient’s banking system to allow for realtime loan decisioning and monitoring.
Many platforms are able to incorporate
data from clients, such as borrower financial
history. For example, Agroclimatica’s risk
score combines farmer production risk(based on agroclimatic data) and farmer
financial risk (based on farmer financial
history). Some providers (e.g., CropIn,
Mantle Las, YAPU) offer API integrations
with FI systems, making the data andrisk scoring directly accessible within theclient’s existing systems.
A few providers (e.g., YAPU) also build inhouse customized platforms for FSPs.

Where do providers currently operate and how strong
are they in the respective country/region?
Each of the six turnkey providers has a track record ofworking in one or more countries in Latin America, subSaharan Africa, or Southeast Asia (individual countries arenoted in the annex). Most providers confirmed they are able
to easily scale to another market, though exact details should
be confirmed with each provider.

While each provider offers their standard services, this researchdemonstrates that the majority are receptive to meeting theirclient’s specific needs. Given the relatively nascent nature ofthese service offerings, providers are keen to understand how
they can best package and customize their services to appeal
to FSPs and other clients in the agriculture sector. Furthermore,
providers were hesitant to provide specific details on theirpricing models, specifically on customization, which underpins
the ongoing experimentation of service offerings.

Figure 6: Loan Cycle Use Cases
Loan Cycle
Process
Step

Underwriting& Loan Assessment

Monitoring

Collection

Portfolio
Management

Portfolio
Allocation

ExampleUse
Case

Generates farmcredit risk scoreincorporating
agroclimatic risk
parameters to inform
lending decision

Continuous weather
and crop disease risk
monitoring during
production to predict
growth progress andharvest timeline

Satellite insights onfarm plots to forecast
crop yield prediction
and likelihood of loancollection

Uses crop yieldpredictions to
inform loan andportfolio levelvaluation

Quantifies
potential economic
losses from
agroclimatic risks
in certain regions

YES

YES

YES

YES

NO

YES

YES

YES

YES

NO

YES

YES

YES

YES

YES

NO

NO

NO

YES

YES

YES

YES

YES

YES

NO

YES

YES

YES

YES

YES

Providers

Source: GPA photoarchive

25

1
3

CASE STUDYYAPU developed a fully
integrated climate risk
management system
for a large Guatemalan
microfinance institution (MFI)
to assess agroclimatic risks at
the loan and portfolio level.

After a number of unsuccessfulattempts to launch this product,
the MFI engaged YAPU to assist
in developing a climate risk
management system that integrated
the YAPU platform with the MFI’s
existing field application. The MFI
had a standalone field application
to gather on-the-ground farmer
data for its loan evaluation form,
however did not have a standard
way of collecting or assessing data
surrounding agroclimatic risks.

The Guatemalan MFI had
a longstanding interest in
introducing a tailored loan
product for the agricultural
sector. Through this loan
product, the MFI desired
to improve the efficiency
and effectiveness of its
lending process by creating asystematic way to incorporate
agroclimatic risks into
lending decisions.
Furthermore, the MFI hoped
to provide recommendations
for suitable crops
and climate solutions
to its clients.

YAPU helped the MFI expand its
existing application to include
external climate data (CHIPS/CHIRPS) and integrated thisapplication with the YAPU platform
via an API. The resulting climate
risk management system included
an automated credit analysis, which
was enriched with climate risk
indicators (i.e. historic and current
climate exposure of farming units
and climatic sensitivity of different
crops and animal husbandry).
The system also featured
recommendations of suitableclimate solutions to increase
productivity and resilience.

YAPU’s Integrated Climate
Risk Management System

Source: YAPU

26 MARKET MAPPINGThe climate risk system wasdelivered in the form of a
proprietary software, created
by YAPU, that includes external
exposure data as risk maps thathighlight drought, rain, flooding,and frost threats at the individual
borrower and portfolio level.

At the borrower level, the systemallows the MFI to identify and makecomparisons between individual
customer risk profiles and increase
resilience by recommending naturebased solutions to finance. At theportfolio level, the risk maps display
insights on possible climatic events
that could impact farming activity
and portfolio concentration inregions that could be high risk due
to weather and climatic events.
These risk analyses were thendirectly integrated into the MFI’s
core banking system, allowing the
MFI to make real-time and informed
lending decisions for smallholder
farmers. Through this engagement
YAPU was ultimately able to help
the MFI: 1) analyze climate risks
for 40,000 clients; 2) develop asystem recommending suitableclimate solutions; and 3) establish
a comprehensive view of the MFI’sclients’ production and associatedrisks by integrating climate indicators
into credit decisions.

Source: NASA

4

Source: MDPI

4. Outlook
KEY TRENDS FOR AGROCLIMATIC SERVICES PROVIDERS
The market for agroclimatic risk services remains nascent, and many providers are still
evolving their offerings or pivoting to meet new client needs. There are, however, a few
trends that indicate where the sector is headed:

At this time, themarket for agroclimatic
risk services remains
nascent, and many
providers are still
evolving their offeringsor pivoting to meet newclient needs. There are,however, a few trends
that indicate where thesector is headed.

Source: NASA

EXPANSION OF SERVICE OFFERINGS: Many FSP-first providers are repackaging
their data to offer auxiliary services, such as value chain traceability or advisory
services, that appeal to agribusinesses and/or other types of financial institutions.
Similarly, solutions—such as Satelligence or CropIn—which have historically worked
primarily with agribusinesses are launching services tailored to FSPs.
VERTICAL INTEGRATION: Both upstream and downstream providers appear tobe vertically integrating. For example, downstream player SatSure is launching
its own fleet of satellites, while some upstream players are developing theirown databases and platforms.
IN-HOUSE CAPABILITIES: Large ratings firms and financial institutions appear
to be bringing climate risk capabilities in house, either through internal
development (e.g., Rabobank) or acquisition of existing climate risk firms (e.g.,
Moody’s, BlackRock, McKinsey).
Whilst this landscape is still emerging—the majority of providers have begun operations
within the last 10 years—these DSPs display great promise for helping to quantify
climate risk, especially in the agriculture sector which is extremely vulnerable to theimpacts of climate change. There are strong signals that innovation is likely to accelerate
in the future, building on the work of these early pioneers. Looking ahead, it is likely thatnew players will enter the market while existing players with demonstrated adjacencies
will expand their business models.

27

KEY TRENDS FOR FINANCIAL SERVICESPROVIDERS
As available solutions scale, there will be increased
uptake from commercial banks and microfinanceinstitutions. As climate risk worsens, these solutions will
become increasingly important and impact nearly alllending decisions over the coming decades. Financial
services providers will make increasing use of theavailable digital solutions to support financial services
providers in assessing climate impact on agricultural
portfolios for:

1. BUSINESS DEVELOPMENT ACTIVITIES: FSPs canuse the tools and services offered by providers to growtheir agriculture portfolio, thus promoting increased
lending and investment into the sector. Traditionally
FSPs base their lending decisions on financial and nonfinancial information collected by field officers fromfarmers and farms. This traditional method does notfactor in climate data and climate related risks because:i) FSPs are not aware of the climate risks; ii) the climate
data are not available to FSPs; iii) FSPs do not have thetechnical capabilities to analyze those climate data,
create modeling and make business interpretations.
The availability of climate risk assessment digitalsolutions gives FSPs an opportunity to update theirdue diligence approach and business development.

The use of these digital solutions can have multiple
benefits for FSPs:
•
•
•
•
•
•

KYC: improving FSP understanding of their clients
exposure to climate hazards and potential impact
faced by borrowers.
DD/appraisal process
Risk mitigation and management
Product development
Cross selling (e.g. insurance products).
Compliance (with regulations)28 MARKET MAPPINGThis data can be incorporated into lending decisions andassist FSPs in growing their footprint in the agriculture
sector. With an improved understanding of the sector, FSPs
can launch new loan products tailored towards SHFs andagri-SMEs to reach untapped markets.

2. IMPROVING EXISTING OPERATIONS: FSPs canalso use provider services and enhanced knowledge ofclimate risks to improve various aspects of their
existing operations. Increased knowledge of the“riskiness” of the location of production in termsof agroclimatic risks can enable FIs to better
assess the potential of farmers failing to repay
their loan enabling FSPs to improve their existing
operations. This includes:

•
•
•
•

Optimizing capital and portfolio planning andallocation
Digitizing and streamlining lending processes
for smallholder farmers
Enhancing risk assessment and management
systems
Reducing their agricultural loan recovery costs.

3. PROMOTING CLIMATE SMART INVESTMENTS:

FSPs can capitalize on providers to assist in developing
financial products that would enable their clients toinvest in making their agricultural and livestock productmore resilient to climate risks, more productive andless polluting. This could also include partneringwith providers to offer non-financial services (NFS)
to their clients so they can better plan their planting,application of inputs, timing of harvest, etc. all very
valuable services to create loyalty between FSPs andtheir clients and enable clients to achieve better yields
and increase their revenue.

Source: NASA29

5. Annexes

ANNEX 1
SAMPLE PROVIDERS ONE PAGERS
ANNEX 2GEOGRAPHIC REACH OF TURNKEY PROVIDERS
ANNEX 3

LIST OF PROVIDER NAMES,BASED ON TAXONOMY CATEGORIZATIONANNEX 4

ACKNOWLEDGMENTS

30 MARKET MAPPINGSource: NASAharvest

SAMPLE PROVIDER S ONE PAGER S

ANNEX 1
Molly Brown
mbrown@6grain.com
https://www.6grain.com

Climate Risk Tools and Services

Readiness to implement

Relevance to thesis

Low (FIs in developing markets)

Climate Risk
Analytics

Agriculture
Focus

Pricing/Revenue modelWorking inemerging markets

Annual license - direct sales/reseller options,enquire directly for pricing

Business model overview

Customization options

Transforms farm data into information that canbe used to increase success and boost uptake
in crop protection services, credit provision,and high-yielding seeds

Growing the future
through accessible
digital technology
Using remote sensing
and farm-level data
to facilitate field mapping,

Offers regional market intelligence

Languages available
English, additional languages in 2023

Uses proprietary yield assessment model

20 countries across Europe,
Latin America, and SSA
Provider Type:
Climate Risk Intelligence Provider

Flood and drought-related crop losses
to be added in Q4’22

Data Sources

crop growth curves

Regional Scope:

Europe, US, and Canada. Plans to expand
to Africa, APAC, and LatAm H1’23
Crops covered

Uses proprietary weather & disease model

Maryland, USA

Geographic reach

Couples abiotic and biotic risk assessments topredict optimal crop growth curves, backed byremote sensing

Public satellite data, weather, farmer data

Headquarters:

GDPR compliant, data passporting,
ISO/Cyber essentials certified

Climate risk analytics

and predicting optimal

2014

Data Protection

Services are highly customizable based onclient, i.e., worked extensively with Syngenta
to facilitate farm mapping in sub-Saharan Africa
using remote sensing

regional market intelligence,Year founded:

Configurable API+ license options

Financial Institutions

Supporting Services

Has not worked extensively with FIs in past,
but looking to expand services:

Farm mapping
Mapped all maize fields in Zimbabwe using
remote sensing and allows users to digitallydraw field boundaries
Climate risk analytics
Assisted agronomists in digitizing farm datacollection

Commercial Parameters

AG
Producer

•
•
•
•
•

Loan underwriting
Loan monitoring
Loan collection/recovery
Portfolio management
Portfolio allocation

Potential services include farmer loan automation:
digitize and streamline loan process for SHFs,
allowing real-time decisioning
Agribusiness

Target customers
FI

Engagement Opportunities

GOVT/
NGO

AG Buyer/
Processor

Ability to use remote sensing to map
and monitor farm productivity
31

Source: ADAPTAwebpage

Note: ADAPTA was also profiled, but not prioritized for the original analysis

German Vegarra
German@adapta.earth
https://www.adapta.earth
Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Business model overview

Climate adaptation
FinTech platformusing data and climate
technologies to unlock
capital for agriculture
A climate and agriculture data
intelligence SaaS company
developing climate finance products
for financial intermediaries.
Adapta aims to expand climate financefor the food and agriculture sector that

Algorithm incorporating weather, soil, water,and biodiversity data into the credit underwriting
process to unlock capital in agriculture sector.
Acts as the equivalent of credit scoring algorithms
for consumer and corporate finance but for
agriculture adaptation for lenders and investors
Climate risk analytics
Three-stage Climate Smart System (CSS) that layers
into traditional credit approval flow:
delivers a Climate Score (CS) at credit entry,
a Climate Adaptation Plan (CAP) to enhanceborrowers’ resilience, and a digital Portfolio
Monitoring System (PM) to monitor CAP
Data Sources
Geospatial information, climate change
projections, and data covering soil Ph and carbon,
water availability, and protected habitats. Data
updated daily, and some annually

only gets 2% of total climate financebut produces 25% of all
greenhouse gas emissions.

Year founded:
2021
Headquarters:
Nairobi, Kenya
Regional Scope:
East Africa, Latin America in 2023
Provider Type:
Climate Risk Intelligence Provider

32 MARKET MAPPINGFI

AG
Producer

AG Buyer/
Processor

Readiness to implement
High
Pricing/Revenue model
1) ADAPTA CS sold to FIs as a SaaS model forannual subscription fee 2) ADAPTA Financelends and invests using CSS
Customization options
SaaS accessed through the WEB and via an APP.
Mobile token for access
Data Protection
GDPR compliant
Geographic reach
East and Southern Africa, Central America,
Peru; Colombia and Ecuador in 2023
Crops covered
30 value chains (maize, potatoes, tea, grass,
tomatoes, tea, coffee, onions, macadamia,
dairy, etc.)
Languages available

Supporting Services

English, Spanish in 2023

Training to FIs on ADAPTA CS andinterpreting data

Engagement Opportunities

Climate Adaptation Plan jointly developedwith the farmer and service can be provided
to FIs for a fee

Financial Institutions

Land Report is being developed to provide
buyers of land key climate, soil, water, andbiodiversity information“We developed ADAPTA CS to transform theway we assess food and agricultural risk.
Our SaaS leverages climate, soil, water, andbiodiversity data to provide a score that canguide you on risks at the farm level whileproviding you with mitigation solutions tolower such risks.”
from website

Track record of working with FIs across loan cycle:••••

Loan underwriting
Loan monitoring
Portfolio management
Portfolio allocation

Facilitates decision-making across the loan cycle fromunderwriting and portfolio monitoring
Provides early risk climate adaptation plan to enhance farmer
resilience thereby lowering probability of default
Five Kenyan banks testing beta version
Agribusiness
ADAPTA has 3 committed projects, expects to close 4 more by end
2022 with cooperatives, processors, and medium-sized farmers as clients

Source: agCelerantwebpage

Daniel Annerose, CEOagcelerant.com
https://www.agcelerant.com
Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

Combines physicalasset managementwith digital solutions
to ensure trust andscalability of service.
Unlocks primarybank and industrial
investments forsmallholder markets.

Year founded:
2018
Headquarters:
Mauritius (Manobi Africa)
Senegal (agCelerant)

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

agCelerant’s hyperlocal data ecosystemsignificantly de-risks agri-finance transactions:farmers do not receive cash during growing
season; service providers are paid directly by bankafter delivery; monitoring is done in near real-time.

Mid-stage start-up

Products: data driven farmer profiling, farmmapping and pre-season, in-season, andlate-season de-risking solutions (AIRMAP,BRISK, TARGET) for partner banks andfinancial institutions to scale up agri-finance tosmallholder farmers. Franchised agent networks
provide continuous support to farmers on good
agricultural practices.
Climate risk analytics
Enables control of delivery of input (fertilizers andagrochemicals), agri-insurance coverage and farmservices (land preparation, harvesting) to farmers,
monitoring of farmer practice, and the sale of thecrop to off-takers.
Data Sources
Frequent site visits by agents, plot-level, 5-day
satellite monitoring, IoT, AI & LM, predictive models
Supporting Services
Digitization
Customization of Manobi Africa digital platform
for agri value chains financing in Africa based onphygital agriculture concept
Farm mapping

Ag Value Chain Orchestrator x

R&D

Operation risk control for FIs

GOVT/
NGO

Readiness to implement

Provider Type:

SSA

AG
ProducerBusiness model overview

TA by agents, weekly upload of farm data onelectronic portal; crop blueprints/protocols
developed by experts include fungicide andpesticide spraying schedule and crop rotation
programs; agronomists keep track of adherence
to the crop blueprints

Regional Scope:FI

Business-driven cost and risk control innovations
combining AI, EO, IoT and mobile data streams;
embedded R&D partners

AG Buyer/
Processor

Pricing/Revenue model% of generated added value to agriculturalvalue chain actors (farmers, input and service
providers, insurance companies, off-takers, etc.)
Customization options
Farm characterization, qualification,
exploitation scenarios; for various VC
stakeholders: FI, agro-industry, etc.
Data Protection
Servers hosted on two separate data centersin Europe; Regular back up by company
Geographic reach
Mapped c. 58,260 farmers c. 100,920 haof cultivable lands in 10 African countries(+France), with major presence in Senegal on
rice (27,665 ha)
Crops covered
Rice, Cocoa, Peanut, Cotton, Maize, Sorghum
Languages available
Wolof, Pular, French, English, Arabic,
Kiswahili, Amharic, Afan Oromo, Portuguese,
Bambara, Mandarin, Malay

Engagement Opportunities
Financial Institutions
BOA Senegal (wide distribution network of 54 branches(second largest in Senegal) supports approximately 40,000 clients.
Major MFIs as PAMECAS in Senegal, FNM in Benin, etc.
Agribusiness
•
•
•
•
•

Seed suppliers
Fertilizer and agrochemical suppliers
Industrial millers, village mills
Ag Insurance companies
Professionalization of farmers’ organizations (FO) through the
Agribusiness Leadership Program, namely on FO management

33

Source: agroclimatica

Lars Saquero Mollere
lsm@ingemann.com.ni
https://www.agroclimatica.com
Climate Risk Tools and Services

Data Protection

Relevance to thesis

No personal information about the farmers
is stored

Climate Risk
Analytics

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Business model overview
Risk scoring platform that computes projectedagroclimatic risk, identifies soil limitations, andproposes ideal crop and livestock fit for farm plots

Platform that assesses
agroclimatic risk at anindividual farm levelto assist FIs in making
objective lending
decisions

Carbon quantifier available, plans to add water
quantifier
Climate risk analytics
Combines farmer payment history/financial risk
scores with future payment capacity based on
agroclimatic risk scores (include temperature,
precipitation, climate viability, soil suitability,
crop scenario)
Offer predictive risk assessment for 3 to 4 years.
Risk scores offer 95% accuracy
Data Sources
Climate data (historical performance across 13
parameters), soil data (office maps, satellite
imagery), crop and livestock data (local experts,
research/scientific based documentation)

Supporting Services
Year founded:
2016

Headquarters:
Part of Ingemann data, based in
Denmark and Nicaragua
Regional Scope:

Does not appear to offer supporting services

Commercial Parameters
Target customers
FI

Readiness to implement

Latin America, India, Kenya
adaptable worldwide

High

Provider Type:Fee per click or subscription model

Climate Risk Intelligence Provider

Customization options

Pricing/Revenue model

Agroclimatic risk score is standardized, small
adjustments are possible
34 MARKET MAPPING

Geographic reachCentral and South America, Kenya and India
with plans to expand to Eastern Europe
Crops covered
Dependent on crop varietals in individual
countries, presently >4,500 crop varieties
Languages available
English and Spanish

Engagement Opportunities
Financial Institutions
Track record of working with FIs across loan cycle:••••

Loan underwriting
Loan monitoring
Loan collection/recovery
Portfolio management•••

Offer risk and ESG management platforms for FIs
Methodology has been validated by industry players;in Kenya, Agroclimatica has been approved by theCentral Bank of Kenya to use among regulated
financial entities.

Agribusiness
N/A, primarily geared towards FIs

Source: ClimateAI

Ken Anderson
ken@climate.ai
https://climate.ai
Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Business model overview

Enterprise platform toassess short and longterm climate risks infood and agriculture
supply chains

Enterprise platform-focused on assessing
climate risks in food and agriculture supply
chains to build supply chain resiliency,
improve profitability, and sustainably intensify
production. Bottom-up enterprise tool, withintegrated end to end risk view, from field levelto boardroom.
Climate risk analytics
Facilitate historical simulations and build
predictive models to forecast the following risks:
Short term weather (1-14 days), sub-seasonal
climate (2 weeks to 6+ months), long-term climate(10-50 years)
Risk scores translated into financial impact(i.e., agricultural yield, property damage) andactionable operational insights (i.e., optimized
planting harvesting, other weather sensitive
decisions)Year founded:FI

AG
Producer

GOVT/
NGO

AG Buyer/
Processor

Readiness to implement
Medium (FIs in developing markets)
Pricing/Revenue model
Subscription-based on location and crops ofinterest
Customization options
Fully customizable for specific value chain
needs
Data Protection
TBC
Geographic reachGlobal operations, USA clients primarily
Crops covered

Data Sources

No crop limitations but most experiencein seed crops, more information on crop
response to weather conditions results inmore robust impact functions

Public/private satellite and weather station data

Languages available

Models update between every hour and annually

EnglishEngagement Opportunities

2017

Supporting Services

Headquarters:

Production planning and decisioning

Financial Institutions

San Francisco, USA

Help clients understand how they can adapt
crops in specific regions prone to climatechangeTrack record of working with FIs across loan cycle:

Regional Scope:
GlobalProvider Type:
Climate Risk Intelligence Provider

In the seasonal time frame, tool helps accurately
predict conditions on the time scales that werepreviously not accessible at the accuracy andlocalization••

Portfolio management (climate Sharpe ratio)
Portfolio allocation

Primarily work with larger FIs, including agriculture lenders,real estate, asset managers. FIs use services to translate
Predicted yield to economic impact. Pricing is likely too high for MFIs
AgribusinessCurrently curated for actors across agri-supply chain for understanding
climate risks (i.e., regional crop assessments, identifying optimal sourcing,and balancing portfolio climate risks) and managing short term climatechange impacts.

35

Source: Climate X

Julio C. Othon
julio.c.othon@climate-x.com
https://www.climate-x.com
Climate Risk Tools and Services

Readiness to implement
Low (FIs in developing markets)

Relevance to thesis
Climate Risk
Analytics

Pricing/Revenue model

Lending Risk
Offering

Annual license - direct sales/reseller options,enquire directly for pricing

Business model overview

Customization options

Platform providing physical and transition climate
risks, financial loss impacts under a range ofclimate scenarios through 2100

SaaS solution providing
explainable climatic
physical and transition
risk for physical assets
and land, both at
portfolio and individual
location levels

GDPR compliant, data passporting,
ISO/Cyber essentials certified

Climate risk analytics

Europe, US, and Canada. Plans to expand
to Africa, APAC, and LatAm H1’23

Headquarters:
London, England
Regional Scope:Operational in US, Europe, Canada;
expansion to Africa, APAC, Latin
America in 2023
Provider Type:
Climate Risk Intelligence Provider

36 MARKET MAPPING

Geographic reachClimate risks include river/surface/coastal flood/
sea level rise, extreme heat, subsidence, landslide/coastal erosion, drought, wildfire, wind/storm,
calculated as combined risk score and total loss, up
to 95% accuracy

Crops covered
Flood and drought-related crop losses
to be added in Q4’22
Languages available

Ability to assess physical asset risks at individualor portfolio level. Use of AI but focus on physicsbased models. Suitable for retail and commercial
exposures

Remote sensing data, geolocation data

2020

Data Protection

Access to 10-90m resolution data and predictive
risk analytics through Spectra (online SaaS
platform), API integration, reporting, or raw data
exports

Data SourcesYear founded:

Configurable API+ license options

Updated every 6-12 months
Supporting Services
Comprehensive training, knowledge hub, andsupport ticket services
Implementation support available via major
consulting groups including Deloitte
Additional services to be deployed throughout
2023+

English, additional languages in 2023

Engagement Opportunities
Financial Institutions
Track record of working with FIs across loan cycle:
•
•
•
•
•

Loan underwriting
Loan monitoring
Loan collection/recovery (EOY)
Portfolio management
Portfolio allocation

Platform allows FIs to input coordinates or addresses of assets
to monitor, FIs can assess risk at portfolio or asset level, though
no demonstrated agriculture use cases
API allows FIs to integrate climate risk score directly into
internal scorecards for decision making and capital modeling

Commercial Parameters

Agribusiness

Target customers

Primarily greared towards FIs/Real Estate/Govt/NGO

FI

GOVT/
NGO

Source: Cropin

Arjun Dutta
arjun.dutta@cropin.com
https://www.cropin.com
Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

CropIn is an AI and
Data-led agri-techorganization thatprovides SaaS solutions
to agribusinesses
eco-system globallyusing deep learning

Year founded:

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Software solution focused primarily on farm tofork supply chain digitization while also using
data to offer agroclimatic risk scoring andpredictive analytics for clientsHigh

AG Buyer/
Processor

Pricing/Revenue model
Varies by offering: 1. Reporting: price perreport; 2. Platform: price per loan assessed

Climate risk analytics

Customization options

Integrated climate risk assessments in the shortterm (analysis of individual plots in lending
processes up to a year) using satellite and fielddata integrated into a credit scoring mechanism.
Historical data at pilot and pin code levels,
weather-based real time advisory, and disease andpest alerts

Hyper configurable, including integrationof bank data
Data Protection
GDPR compliant
Geographic reachOffers broader regional/sub-regional climate
risk assessments, customizable to specific crops(usually 2 times a year), approximately 20% of use
cases

All regions excluding China

Data Sources

Languages available

Three year historical satellite data,
supplemented with remote monitoring, weather
station, and field data

All languages excluding Cantonese

Crops covered
388 crops, field crops and vegetables

Engagement Opportunities

Satellite data updated weekly

Headquarters:

Farm management

Bengaluru, India

Solution for digitizing on farm activities

Regional Scope:

Traceability

Operational in 56 countries across
SSA, SE Asia, and Latin America

Application of geo-tagging products withauthenticity verification across supply chain
stagesSolution

GOVT/
NGO

Readiness to implement

Supporting Services

Supply Chain Management

AG
ProducerBusiness model overview

2010

Provider Type:FI

Market Linkages
Customers can integrate CropIn platform with
Marketplace via APIs

Financial Institutions
Track record of working with FIs across loan cycle:••••

Loan underwriting
Loan monitoring
Loan collection/recovery
Portfolio management

FIs are 10% of clients; primarily works with commercial banks,
including many in India and Indonesia, and insurance companies
Streamlines lending process, loan and claim disbursals, andmonitors risk in real-time
Agribusiness
Digitization, traceability, farmer engagement, risk
assessment for agribusinesses (about 90% of clients)

37

Source: Gro Intelligence

Joel Cherkis
joel.cherkis@gro-intelligence.com
https://www.gro-intelligence.com

See the big picture,
act on the small details

Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Medium (FIs in developing markets)

Predictive analytics forecasting the impact of climatechange and climate risks on specific crops andresulting influence on pricing, supply, and demand
Indices developed to track impact of climate events
such as drought, soil moisture, and flooding on
agriculture and commodity prices
Risks covered: Climate change risks (i.e. IPCC
climate scenarios), climate risks (i.e. precipitation,
temperature), financial risks (i.e. future agricultural
prices)Models updated as frequently as daily

Year founded:

Supporting Services

2014

Production planning and decisioning

Headquarters:

Works with seed, fertilizer, and corporate
agribusiness to forecast product demandregionally or globally

Operational globally; clientsprimarily in developed markets
Provider Type:
Climate Risk Intelligence Provider

38 MARKET MAPPINGAG Buyer/
Processor

Data and analytics platform providing a view ofclimate, agriculture, and economy insights for
managing risk, adapting to changing conditions,and forecasting long term climate scenarios

47,000 data sources including satellite, public, andpurchased going back to 1880s

Regional Scope:

GOVT/
NGO

Readiness to implement

Data Sources

New York, USAAG
ProducerBusiness model overview

Climate risk analytics

Predictive analytics
platform providing
insights across climate,agriculture, and theeconomyFI

Agriculture commodities pricing
Uses predictive analytics to determine future
agriculture production, enhancing clients’ ability to
predict data
“We illuminate the interrelationships between
the Earth's ecology and the global economy, so
you can develop a holistic understanding of how
your end-to-end business is impacted - and act
on these insights.”
from website

Pricing/Revenue model
Subscription platform with customizable userinterface, client data can be integrated
Customization options
Standard platform with customizable userinterface, client data can be integrated
Data Protection
SOC 2, Type 2 pending (Fall 2022)
Geographic reachAll regions
Crops covered
17,000 crops with expertise in corn, soybeans,
and wheat
Languages available
Variety depending on user needs

Engagement Opportunities
Financial Institutions
Primarily work with asset managers, hedge funds, banks,
commodity traders and insurance:
•
•
•
•
•

Loan underwriting
Loan monitoring
Loan collection/recovery
Portfolio management
Portfolio allocation

Analytics on price drivers and events impacting trading
and investments (i.e. yield forecasts) and forecasts onmarkets and climate conditions (i.e. climate projections on
precipitation)
Agribusiness
Analytics to mitigate climate-related supply chain risks andimprove pricing of purchases as well as analytics to forecast
farmer profitability to improve sales and pricing strategy

Source: JUPITER

Julie Mansfieldjulie.mansfield@jupiterintel.com
https://www.jupiterintel.com
Climate Risk Tools and Services

Customization options

Relevance to thesis

Customizable Tableau dashboards, API
integration available

Climate Risk
Analytics

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Business model overview
Physical climate risk analytics measuring shortterm (present day) and long term risks (up to2100) on individual and portfolio of assets

Physical climate risk
analytics platform forrisk management andresiliency planning

San Mateo, USA
Regional Scope:
Global, customers primarily basedin North America, Europe, APAC
Provider Type:
Climate Risk Intelligence Provider

Global, customers primarily based in North
America, Europe, APAC

ClimateScore Global: impact analysis of climate
risk on assets globally such as portfolio planning,risk mitigation, market value analysis, andunderwriting

Focused on location, not specific crops

ClimateScore Planning: analysis and insights on
impact of specific climate risks (e.g., flood) on
individual assets, facilities, neighborhoods, andcommunities through 2100

Engagement Opportunities

CMIP6 Global Climate models, downscaled to90m; new metrics and information updated
quarterly

Headquarters:

Geographic reachCrops covered

Data Sources

2017

Customer provided data are proprietary

Climate risk analytics

Climate risks covered include: flood, wind, heat,
precipitation, fire, drought, hail, and cold

Year founded:

Data Protection

Supporting Services
Work with partners to offer consulting andsupportive services

Languages available
EnglishFinancial Institutions
Track record of working with FIs:•••

Loan underwriting
Portfolio management
Portfolio allocation

Existing work with banks, insurance, asset management, andreal estate companies
Analysis of physical climate change risk on financing related
activity (portfolio management, underwriting) and quantifyingof potential financial losses
Also assist with market value analysis and regulatory response
AgribusinessPhysical risk analysis at microclimate level to optimize
management of fields, forests, and value chains

Commercial Parameters
Target customers
FI

AG
Producer

GOVT/
NGO

AG Buyer/
Processor

Readiness to implement
Medium, able to implement globally“With forward-focused, rigorous
methodologies and analytics delivered bysome of the best scientists in the industry,
Jupiter turns sophisticated climate science
into actionable data.”
from website

Pricing/Revenue model
Subscription model based on number ofassets39

Source: Mantle Labs

Rishikesh Saprerishi@mantle-labs.com
https://www.mantle-labs.com
Climate Risk Tools and Services
Relevance to thesis
Climate Risk
Analytics

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Business model overview
Turnkey financial analytics platform providing
complete risk assessment solution for FIs to
manage their agriculture portfolios
Climate risk analytics
Two primary data sets:

Ag-focused (Ag-fintech)automated financial
analytics platform forbanks, insurance andasset managers to makelending decisions andmonitor portfolios

Level 1. Regional credit risk score to determine risk
capital allocation, default probability of loans andportfolios and collections monitoring
Level 2. Field level credit score to determine theexpected loan default probability, used by banks
to make final lending decisions
Provide automated risk scores to advise banks on
lending (only 10% need human component)
Uses include: climate-optimize in-season
production tracking, invest in climate-proof
locations, understand extreme weather risks forloan portfolios at asset level

2016
Headquarters:
London, UK
Regional Scope:
India, SE Asia, Africa, Americas,
EuropeProvider Type:
Financial Analytics Company

40 MARKET MAPPING

Satellite data from European Space Agency/NASA
Data cleaned with AI and updated every 10 days
Supporting Services
Production planning and decisioning
Offer historical and predictive yield data on plotsof land, portfolios, and regions

Commercial Parameters
Target customers
FI

AG
Producer

High; turnaround for new client is 2-3 weeks
Pricing/Revenue model
1. Subscription fee per month per user
2. Fee per loan for over 50 users
Customization options
Off the shelf standardized solution but
customizable depending on client need
Data Protection
N/A
Geographic reachGlobal, with extensive work in India
Crops covered
All major crops
Languages available
English, regional languages in India, French,
Portuguese, Spanish

Engagement Opportunities
Financial Institutions

Data SourcesYear founded:

Readiness to implement

AG Buyer/
Processor

Track record of working with FIs across loan cycle:
•
•
•
•
•

Loan underwriting
Loan monitoring
Loan collection/recovery
Portfolio management
Portfolio allocation

Strong track record of working with commercial banks andinsurance
Uses include pre-season systematic risk index to identify whereto lend, risk capital allocation tool, loan processing andcollection, and FI corporate level agricultural analysis
Agribusiness
Crop monitoring platform used by agribusinesses and agricommodity companies to plan and execute their businesses

Source: PRAEDICTUS

Josh Perlman
perlman@praedictus.com
https://www.praedictus.com

DRIVING NEXT GENERATIONCROP YIELD RISK TRANSFER
Any Crop. In Any Country. At Any Granularity.

Climate solutions
provider focused onrunning predictive
biophysical cropmodels at scale
Praedictus enables firms to moreaccurately model and forecast
the combined impacts of weather,technology, environmental conditions
and climate change oncommodity crop yields globally.

Climate Risk Tools and Services

Pricing/Revenue model

Relevance to thesis

For insurance, risk transfer play, climate
physical and transition risk; other services
dependent on crops and data; platform will
be subscription

Climate Risk
Analytics

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Business model overview

Customization options

Deploys cutting-edge biophysical models to
predict crop growth and development

Data customizable based on client

Primarily focused on working with reinsurers,
deploying next-generation parametric risk
products
Three distinct uses cases for their products:
1. Risk transfer/hedging series
2. Valuation and analytics
3. Predictive climate models

Financial Analytics Company

12 crops, expanding to 40 by 2023

Global scope: wherever crops are raised

Engagement Opportunities

Delivery of raw data to customers; currently,
platform in pilot stage

Financial Institutions

Data Sources
Data updated daily

Have not yet worked with commercial banks
In process of partnering with lending organization
Agribusiness

Does not appear to offer supporting services

Provider Type:

Crops covered

English, Spanish, Portuguese, can translate
product based on client need

Headquarters:

GlobalApplicable to any region

Languages available

Supporting Services

Regional Scope:

Geographic reachHistorical, in season and climate-projected crop
yield simulations based on weather, soil and crop
management data

2015
Chicago, IL. USA

All data is proprietary

Climate risk analytics

Publicly available data from ERAS

Year founded:

Data Protection

Large agribusiness bought land in US, Praedictus modeled
agribusiness crop system in that land, provided data back to
the agribusiness

Commercial Parameters
Target customers
FI

AG
Producer

GOVT/
NGO

AG Buyer/
Processor

Readiness to implement“Praedictus Climate has developed thescience and technology to drive end to end
agricultural crop yield risk transfer products,
custom to the needs of any firm with exposure
to weather-driven crop production loss.”from website

Medium (for lending risk offerings for banks
in developing markets)
41Source: PULA

Rose Goslinga
rose@pulo.io
https://www.pula-advisors.com
Climate Risk Tools and Services

Readiness to implement

Relevance to thesis

Low

Climate Risk
Analytics

Insurtech thatdesigns and delivers
agricultural insurance
and digital products
tailored for SHFs

Agriculture
Focus

Working inemerging markets

Geographic reach
Africa and Asia

Business model overview

Crops covered

Insurtech partnering with local insurance andglobal reinsurance firms to underwrite risk byhandling product design, risk placement, farmer
education, claims assessment, and payouts

23 different crop varieties

Climate risk analytics
Hybrid index insurance combines Weather Index
Insurance and Area Yield Insurance for farmer
payout under weather conditions, such as drought
and flood
Yield Index Insurance that insures farmers on
the value of purchased inputs, based on agroecological zones of region based on factors, suchas historical rainfall, temperatures, prior yields
Data Sources
Self-collected farmer yield data, FAO

Engagement Opportunities
Financial Institutions
Primarily engage with insurance and re-insurancecompanies and offer insurance companies and offer
insurance as a service
Started partnering with AgTechs (i.e. Apollo Agriculture)
to provide insurance as part of bundled
products/services for SHFs
Offer insurance to FIs, however have not observed
strong demand from FIs for climate risk data
Agribusiness
Offer insurance to large agribusinesses

Supporting Services
Insurance as a service (see climate risk section)

Year founded:
2014

Work with government and international NGOs
to improve efficiency by providing remoteagriculture monitoring, yield prediction, andsustainable ways to engage with farmers

Headquarters:

Commercial Parameters

Mollis, Switzerland

Target customers

Regional Scope:Operational in Asia, Africa,FI“Pula is an agricultural insurance andtechnology company that designs and delivers
innovative agricultural insurance and digitalproducts to help smallholder farmers endure
yield risks, improve their farming practices, andbolster their incomes over time.”from website

AG
Producer

Latin America
Provider Type:
Insurtech

42 MARKET MAPPING

Source: PULA

Source: SATELLIGENCE

Amy Ching
ching@satelligence.com
https://satelligence.com
Climate Risk Tools and Services

Customization options

Relevance to thesis

Fully customizable, API to integrate client
data

Climate Risk
Analytics

Remote sensing
company monitoring
agriculture supply chain
risks in nearreal-time, with a focus
on deforestationand carbon

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

Data Protection

Business model overview

NDA governing private data

Remote sensing company that monitors crop
supply chains in forested areas (i.e., palm oil,cocoa) to understand deforestation risks andmonitor carbon with 90% accuracy

Geographic reach

Product delivery models include proprietaryplatform, PDF reports, GIS data, API integration
Climate risk analytics

Global, existing customers in SE Asia
Crops covered
Coffee, palm oil, cocoa, soy, leather and beef,sugar cane, rubber, paper and pulp, coconut,
forestry

Overlays satellite imagery and mill locations
to identify historical forest cover change
and assess supply chain and portfolio wide
deforestation risks, with ability to go down toindividual farm level

Languages available

Data Sources

Engagement Opportunities

English, Spanish, Dutch, Bhasa, French, andlocal languages supported

Open source optical and radar satellite data
Supply chain asset data (mill locations)

Financial Institutions
Track record of working with FIs:

Supporting Services
Carbon monitoring

Year founded:
2016
Headquarters:
Utrecht, Netherlands
Regional Scope:

Identify amount of carbon stored andsequestered in supply chains

Commercial Parameters

AG
Producer

AG Buyer/
Processor

Operational in Africa, Asia, Latin
America

Readiness to implement

Provider Type:

MediumClimate Risk Intelligence Provider

Portfolio management
Portfolio allocation

Existing work with commercial banks, asset
managers, and DFIs
Use case includes identifying investments in apalm oil portfolio that are exposed to highdeforestation risk
Agribusiness

Target customers
FI••

Agribusinesses are primary clients
Carbon monitoring and deforestation risks

Pricing/Revenue model
Varies by amount of data to be processed,
price per report; platform subscription fee
43Source: SatSure

Amit Salunkhe
amit@satsure.com
https://www.satsure.co
Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

Decision intelligenceplatform to assessclimate risks acrossagriculture value
chains for the financial
services sector

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

FI

AG
Producer

GOVT/
NGO

AG Buyer/
Processor

Business model overview

Readiness to implement

Provide predictive, prescriptive and diagnostic
agroclimatic data insights, backed by satellite
imagery analytics, ML and AI, to facilitate
decision making across the loan cycle for credit
underwriting, portfolio monitoring, and loan
recovery/collection

Low

Climate risk analytics

Fully customizable App and projects

SatScore: land score based on 3-year historical
data included in a report with seasonal revenue
estimations at farm level, irrigation conditions, andbroader regional conditions affecting farm andfarmer production and revenue potential
SatSure Saga: helps lenders with loan portfolio
collections through farmer and farm level
continuous crop monitoring. Integrates climatechange scenarios such as extreme weather events,
deforestation, etc.
Data Sources
Satellite imagery, public datasets (i.e., economicdata), and client datasets (i.e., delinquency data)

Pricing/Revenue model
Fixed cost + variable cost based on numberof farmers
Customization options
Data Protection
Does not store client data
Geographic reachGlobal, existing work focused on Africa
Crops covered
Crows agnostic
Languages available
English, Bangla, French, Ahmaric, Swahili,
others added on demand

Engagement Opportunities

Year founded:

Supporting Services

Financial Institutions

2017

Geospatial analysis

Track record of working with FIs across loan cycle:

Headquarters:
Mumbai, India

LULC, crop damage estimations, route
optimization, flood inundation, forest firemonitoring, etc.

Regional Scope:

Satellite fleet

•
•
•
•

Operational in Africa, SE Asia,
NA, and Latin America
Provider Type:Supply Chain Management
Solution

44 MARKET MAPPINGSatSure launched a subsidiary, KaleidEO, for its
own high resolution, multi-spectral, optical earth
observation fleet of satellites for its product andsolution offerings in the infrastructure, energy, andutility sectors

Loan underwriting
Loan monitoring
Loan collection/recovery
Portfolio management

Facilitates decision making across the loan cycle fromunderwriting, portfolio monitoring to loan collection
Existing work with largest commercial banks in India,
mortgage and project finance companies, and insurancecompanies
Agribusiness
Provide farm and regional data insights to support input
companies, contract farming, and food processors inaddressing supply chain challenges

Source: SOWIT

Hamza Rkha Chahamhamza.rkha@sowit.fr
https://www.sowit.fr
Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

Agriculture
Focus

Working inemerging markets

Remote-sensing data provider primarily
focused on providing weather forecasting andadvisory services to farmers, via SMS or mobile
application

SOWIT data helps banks assess
farmers’ credit worthiness while
supporting farmers through digitaladvisory services to mitigate risks anddeliver best possible results.

Climate risk analytics
Partner with FIs and other providers to provide
climate and plot health status informationand forecasting: this data can help inform
development of farmer credit profiles and yieldrisk
Deliver weather, crop health status and climate
analysis for insurance companies to monitor riskof weather events for SHF payouts
Data Sources

Sentinel, Landsat, Planet constellations
Models updated daily

2018

Provides climate change resiliency consultancy
services for local authorities and NGOs

Operational in Africa
Provider Type:
Climate Risk Intelligence Provider

High
Pricing/Revenue model
Fixed cost + variable cost based on numberof farmers
Customization options
Fully customizable App and projects
Data Protection
Does not store client data
Geographic reachGlobal, existing work focused on Africa
Crops covered
Languages available
French, Arabic, English

Financial Institutions - BU

Consulting services

Regional Scope:

AG Buyer/
Processor

Engagement Opportunities

Year founded:

Casablanca, Morocco

GOVT/
NGO

Crop agnostic

European Centre for Medium-Range Weather
Forecasts

Supporting Services

Headquarters:

AG
Producer

Readiness to implement

Business model overview

Agro-meteorologicalforecasting andadvisory services
provider for smallholder
farmersFI

Farmer advisory services
Delivers SMS-based and App-based advisory
services to SHFs, including agro-meteorologicalforecasts and agronomic recommednations toimprove farming practices“SOWIT is focused on providing remote-sensing
and IoT based advisory services to farmers
while also providing risk & performance data tobanks in Africa, such as Credit Agricole, BanqueCentrale Populaire and the Tanzania Agricultural
Development Bank.”
from website

Core competency is collecting and disseminatingclimate and plot health status data for farmers;
therefore, engaging with FIs is only on project,
software, or API services basis
Engaged with Credit Agricole, TADB (Tanzania), BanqueCentrale Populaire
Agribusiness - BU
Services for agri-businesses including information,agronomic recommendations delivered through APP
and SMS and IoT sensors to drive irrigation operations
and drone spraying to optimize crop protection

45

Source: Weather Impact

Edith Tea
Edith.Tea@weatherimpact.com
https://www.weatherimpact.com
Climate Risk Tools and Services
Relevance to thesis
Climate Risk
Analytics

Agriculture
Focus

Working inemerging markets

Business model overview
Weather provider primarily focused onproviding weather forecasting and advisory
services to smallholder farmers, via SMS or
mobile application

Agro-meteorologicalforecasting andadvisory services
provider for smallholder
farmers

Climate risk analytics
Partner with FIs and other providers to provide
climate information and forecasting; this data canhelp inform development of farmer credit profiles
and yield risk
Deliver weather and climate analysis for insurancecompanies to monitor risk of weather events for
SHF payouts
Data Sources
European Centre for Medium-Range Weather
Forecasts
Models updated daily

Year founded:

Provides climate change resiliency consultancy
services for local authorities and agribusinesses

2015

Farmer advisory services

Headquarters:

Delivers SMS-based and App-based advisory
services to SHFs, including agro-meteorologicalforecasts and recommendations to improve
farming practices

Operational in SE Asia and Africa
Provider Type:
Climate Risk Intelligence Provider

Commercial Parameters
Target customers
FI

46 MARKET MAPPINGAG
Producer

GOVT/
NGO

Pricing/Revenue model
Fixed cost + variable cost based on numberof farmers
Customization options
Fully customizable App and projects
Data Protection
Does not store client data
Geographic reachGlobal, existing work focused on Africa
Crops covered
Crop agnostic
Languages available
English, Bangla, French, Ahmaric, Swahili,
others added on demand

Engagement Opportunities

Track record of working with FIs across loan cycle:

Consulting services

Regional Scope:

Low

Financial Institutions

Supporting Services

Utrecht, Netherlands

Readiness to implement

AG Buyer/
Processor••••

Loan underwriting
Loan monitoring
Loan collection/recovery
Portfolio management

Facilitates decision making across the loan cycle fromunderwriting, portfolio monitoring to loan collection
Existing work with largest commercial banks in India,
mortgage and project finance companies, and insurancecompanies
Agribusiness
Provide farm and regional data insights to support input
companies, contract farming, and food processors inaddressing supply chain challenges

Source: YAPU

Hannes Grafhannes.graef@yapu.solutions
https://www.yapu.solutions
Climate Risk Tools and Services

Commercial Parameters

Relevance to thesis

Target customers

Climate Risk
Analytics

Saas solution for
financial service
providers to facilitate
resilient finance forthe most vulnerable
populations in the
global South

Lending Risk
Offering

Agriculture
Focus

Working inemerging markets

2017
Headquarters:
Berlin, Germany
Regional Scope:
GlobalProvider Type:
Climate Intelligence Provider

GOVT/
NGO

Business model overview

Readiness to implement

SaaS solution offers agroclimatic risk
assessments at individual and portfolio level

High

Products: 1. Digitalization tools 2. Data insights
including financial, climate and nature, and ESG
factors for loan and investment decisions 3.
Investor services to measure and show impactof loans and investments

Varies by offering: 1.SaaS subscription
fee based on number of user licenses 2.
Variable pricing by data needed 3. PayGo forstandardized software

Climate risk analytics
Software combines customer (farmer) data,agroclimatic data, and referential data for cropand economic activities to support lending
decisions
Offers decision intelligence to generate risk
adjusted cash flow projections for individual
customers throughout the stages of production
cycle
Agroclimatic risks measured include climatic
sensitivity, adaptive capacity, green microcredit
verification, detailed cashflows, climate
exposureYear founded:FI

Data Sources
Client, farmer, public, and private purchasedsources

Supporting Services
Platform development
Offer consultancy services to assist FIs indeveloping internal platforms to manage
agroclimatic risk
FI Digitization
Assist MFIs with digitizing their processes

Pricing/Revenue model

Customization options
Fully customizable and integrable into client
IT system
Data Protection
GDPR compliant
Geographic reachApplicable in all regions with existing workin LATAM and SSA
Crops covered
FAO Ecocrop database and additional crops
Languages available
English, Spanish, French, Arabic

Engagement Opportunities
Financial Institutions
Track record of working with FIs across loan cycle:
•
•
•
•
•

Loan underwriting
Loan monitoring
Loan collection/recoverPortfolio management
Portfolio allocation

Primarily work with MFIs, and work with commercial
banks in Ecuador and Senegal
Agribusiness
N/A, primarily geared towards FIs
47

GEOGRAPHIC REACH OF TURNKEY PROVIDERSPROVIDER

AFRICA
Kenya

ANNEX 2ASIAAMERICASOTHER

C h i l e, Cos t a R i c a ,De n m a r k , U k ra i n e,India

G u a t e m a l a , H o n d u ra s ,Ec u a do r, E l Sa l va do r,

Tu r key

N i c a ra g u e
Au s t ra l i a , B e l g i u m ,B u r k i n a Fa s o,

I n d i a , I n do n es i a ,Co t e d ’Ivo i r e, Et h i op i a ,Mya n m a r, Ph i l i p p i n es ,G h a n a , Ke nya ,T h a i l a n d, V i e t n a m ,M o z a m b i q u e, So u t h

M a l ays i a , C a m b o d i a ,Af r i c a , Togo, Uga n da ,L a o PDR , B a n g l a des h ,Zi m b a bwe

S r i L a n ka

A r ge n t i n a , B ra z i l , C h i l e,
Co l o m b i a , G u a t e m a l a ,N i c a ra g u a , Pe r u ,U n i t e d St a t es

De n m a r k , Fra n ce,
G e r m a ny, G r eece,
H u n ga r y, I t a l y, L a t v i a ,Ne t h e r l a n d s ,New Zea l a n d, Po r t u ga l ,R u s s i a , Spa i n ,Sw i t ze r l a n d, Tu r key,
U k ra i n e, U n i t e d K i n g do m
Au s t ra l i a , I t a l y,

C h a d, Egyp t ,Co t e d ’Ivo i r e, Ke nya ,M a l aw i , So u t h Af r i c a ,India, Vietnam, ThailandA r ge n t i n a , B ra z i l

Co t e d ’Ivo i r e,
De m oc ra t i c Re p u b l i c o f
Co n go, Et h i op i a , G a b o n ,G h a n a , Li b e r i a , N i ge r i a ,Uga n daG h a n a , Co t e d ’Ivo i r e,
N i ge r i a

U n i t e d K i n g do m ,U n i t e d St a t es

Ta n z a n i a , Uga n da

Cameroon,

Po r t u g a l , Sp a i n ,Cambodia, India,
I n do n es i a , L a o PDR ,M a l ays i a ,Pa p u a New G u i n ea ,Ph i l i p p i n es , So l o m o n
I s l a n d s , Su r i n a m e,

B ra z i l , Co l o m b i a ,Cos t a R i c a , Ec u a do r,
G u a t e m a l a , H o n d u ra s ,N/AMex i co, N i c a ra g u a ,Pa n a m a , Pe r u

T h a i l a n d, V i e t n a m

I n d i a , I n do n es i a ,M o n g o l i a , Mya n m a r,

B ra z i l , J a m a i c a

RussiaPh i l i p p i n es

B o l i v i a , Co l o m b i a ,Cos t a R i c a ,B e n i n , B u r k i n a Fa s o,
R wa n da , Se n e ga l

N/A

D o m i n i c a n Rep u b l i c ,Ec u a do r, E l Sa l va do r,
G u a t e m a l a , H o n d u ra s ,Mex i co, Pa n a m a , Pe r u

48 MARKET MAPPINGN/ALIST OF PROVIDER NAMES, BASED ON TAXONOMY CATEGORIZATIONANNEX 3This table indicates where providers have a track record of operations, however all
providers are able to scale their solutions to other countries in respective regions:

Climate Risk Intelligence Providers
6th Grain
Accuweather for Business: ClimateReady Risk Mitigation
Acin
ADAPTA
AgCurate
AgroClimatica
Agryo
CervestClimate X
ClimateAi
Gro Intelligence
Hummingbird Technologies
ImpactTerra
Jupiter Intelligence
Mantle Labs
Numer8PlanetPlanetrics (part of McKinsey Sustainability)
Rezatech
Satelligence
SatSureSyecomp
The Climate Service (acquired by S&P)
Weather Impact
YAPU

49

LIST OF PROVIDER NAMES, BASED ON TAXONOMY CATEGORIZATION continued

Financial Analytics Companies
Aladdin Climate (BlackRock)Dow Jones
FarmDrive
IHS Markit
ISS ESG
Moody's
MSCI
Praedictus Climate Solutions
Rabobank
InsurTechs
ACRE Africa
Blue Marble
Descartes
OKO
PlanetWatchers
Pula
Public Good Initiatives
InsuResilience Global Partnership
World Bank Group Agriculture Observatory

Supply Chain Management Solutions
Agritask
CropInFarmERP
Koltiva
SCOPEinsightVillage Link

50 MARKET MAPPINGLIST OF PROVIDER NAMES, BASED ON TAXONOMY CATEGORIZATION continued

Other Providers (did not meet initial screening criteria)
Acceso - Extensio
AgriMedia
Astral Aerial
AuraiaBloomberg ESG Solutions
Climate Data Factory
Climate Risk Engine
Climformatics
ClimINVEST
Copernicus Climate Change Service (E3CS)
CropSafe
CropWatch
Deep Planet
Demex
Descartes Labs
ExoLabs
FarmForce
Fasal
ICE Data Services
Kenya Agriculture Observatory Platform (KAOP)
Lentera Africa
OS-Climate platform
Our Kettle
Oxford Earth Observation
Reask
Risilienceriskthinking.AI
S&P Global Climate Credit Analytics
Terrafuse AI
ThirdEye
Tomorrow.io
TraiveTrueWorld
Urgentem
WeatherForceWorld Food Program's Vulnerability Analysis and Mapping (VAM)51

ACKNOWLEDGMENTS

Acknowledgments
Recognition should be given to the IFC team, namely, Margarete Biallas(Agri-finance practice Lead Africa), Panos Varangis (Agri-finance Specialist),
Quyen Thuc Nguyen (Climate Finance Specialist), Juliana Cristina Lopes(Climate Smart Agriculture Specialist), and, for their guidance, contributions
and collaboration in the creation of this report and project support as well as
to Patrick Carpenter for editing and design.
This report and the related project research has been made possible byfunding from the BMZ under the Financial Systems Development Program(FSDP). The FSDP works to establish innovative approaches on financial
systems development, with a focus on financial inclusion and digitalization,
MSME financing, sustainable financing and investment, and the developmentof local financial and capital markets. The 1.7 billion people worldwide without
access to financial services make up the target group, with particular attention
awarded to economically disadvantaged population groups, especially
young people and women, and forcibly displaced persons. Financial systems
development also addresses the needs of self-employed persons and ownersof MSMEs who lack the financing required for making necessary investments.

52 MARKET MAPPINGANNEX 4

Contacts
Margarete O. Biallas
Agri-finance Practice Lead, Africa
mbiallas@ifc.org
Alan Johnson
Lead, Smallholder Supply Chainsajohnson6@ifc.org