GNUS.AI: Making AI Accessible to Everyone, Everywhere

GNUS.AI
Published: April 19th 2024
Whitepaper Version: 1.2“The measure of intelligence is the ability to change.”-Albert Einstein

Abstract
Historically, access to high-performance computer systems was reserved forlarge companies with the human, technical, and financial resources to own andmanage them. Developers are seeking new tools and methods to handle thedata surge, leading to more complex computer solution requirements. A
growing number of areas are emerging that depend on these advanced
computing solutions.
In response to this growing demand, companies such as Amazon EC2 andGoogle Compute Engine have recently introduced cloud-based computing
services for small and medium-sized developers who need IT resources for awide range of applications. However, as developers and market demand evolve
towards high-level cloud computing, the existing centralized architecture
becomes outdated. Distributed computing provides the solution to the problemof scalability: a global computer network is much more powerful than any
supercomputer.
This global architecture, unfortunately, does not address the challenge of
mediating transactions between users' projects and the computer nodes
executing the work. GNUS.ai is a distributed multi-purpose service with acryptographic payment system allocating computing resources to integrated
user projects in real-world use cases, as described in this document. This
involves the use of GENIUS tokens to quantify and reward work done on acomputer. Specifically, users requiring computer power for any of our services
must purchase GENIUS tokens. These tokens can then be exchanged directly forcomputing power from the network or traded for conventional currency on an
exchange.
GNUS.ai is a system and method for distributed general-purpose computing,featuring a cryptotoken payment system that integrates a slow Blockchain
Cryptotoken with a fast Directed Acyclic Graph Blockchain Cryptotoken. This
provides:•A Hybrid Cryptocurrency system that allows for high-speed transactions
to occur decoupled from the slow operations of normal
Cryptocurrencies.

••

A mechanism to verify the processing of data and payments to the End
User’s wallet for the processing of data used for In-App purchases or ingame purchases of items.
Mechanisms for the transfer of unprocessed and processed data to theclient or customer.

© Genius Ventures, Inc.
Whitepaper 1.2

Table of Contents
1

Background ..................................................................................................................... 5
1.1 Video and Image Processing....................................................................................................5
1.2

Big Data and Business Analysis ...............................................................................................5

1.3

Advanced Risk Analysis ..........................................................................................................52

Blueprint for Distributed General-Purpose Computing with Cryptotoken Payment System . 6

3

Market Challenges and Opportunities .............................................................................. 7
3.1
3.2

4

5

6

Blockchain Computing Challenges .............................................................................................................. 7
Traditional Computing Infrastructure Challenges ....................................................................................... 7

The GNUS.AI Solution ...................................................................................................... 8
4.1

Core Value Proposition...........................................................................................................8

4.2

Decentralized Applications or Cloud Infrastructure Users .......................................................9

4.3

Genius Token Blockchain .......................................................................................................9Market Overview – Opportunities .................................................................................. 10
5.1

The Perfect Timing ............................................................................................................... 105.2

The DApps Market ............................................................................................................... 10

5.3

The Edge and Fog Computing Market................................................................................... 11

System Architecture Overview ........................................................................................ 12
6.1

The Genius Venture Invention - GNUS.ai ............................................................................... 12

6.2

Our Computer Process ........................................................................................................ 12

6.2.1
6.3.1

Components ............................................................................................................................................ 12
Crypto Payment System .......................................................................................................................... 15

6.4Internal Components of the software development Kit API .................................................. 17

6.5

Customer Transaction ......................................................................................................... 18

6.6Internal Workings of Request Processing. ............................................................................. 19

6.7

In-App or In-Game Purchases ............................................................................................... 20

6.8

Data Flow ............................................................................................................................ 21

6.9

Verification – Data Processing (Proof-of-Work) .....................................................................22

6.10

Verification – Blocks of a Transaction .................................................................................. 23© Genius Ventures, Inc.
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7

Initial Coin Offering (ICO) ............................................................................................... 24

8

Launch Pad .................................................................................................................... 24

9

Centralized/Decentralized Exchanges ............................................................................. 24

10

The Team ..................................................................................................................... 25

11

References ................................................................................................................... 26© Genius Ventures, Inc.
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1

BackgroundConsidering the exponential growth of data in our era, industries, academia, andentertainment are realizing the need for a fundamental transformation in the way
operations and innovations are carried out. Due to the convergence of several
technologies, including ubiquitous wireless communication, real-time scanning,machine learning, and integrated systems, computational robotics is becoming
inevitable. Cloud computing has already emerged as a highly demanded service orutility due to its advantages of high computing power, low cost of services, highperformance, scalability, accessibility, and availability. The International Data
Corporation (IDC) predicts that the high-performance computing (HPC) sector will
experience a compound annual growth rate (CAGR) of 27.9%, raising the total market
to $103.1 billion by 2027.

1.1

Video and Image Processing

According to Grand View Research, the global visualization and 3D rendering software
market size was valued at USD 2.20 billion in 2022 and is expected to grow at a CAGR
of 30.6% from 2023 to 2030. 3D visualization devices, virtual and augmented reality
and high-end video games fuels this growth.

1.2

Big Data and Business Analysis

The global big data analytics market size was valued at $307.51 billion in 2023 and is
projected to grow from $348.21 billion in 2024 to $924.39 billion by 2032. The use of big
data is playing a crucial role for the global key players to outperform their competitors
across sectors. For instance, in December 2020 Amazon, Inc. launched Amazon
Healthlake, a HIPPA-compliant big data analytics service for the healthcare industry
that provides real-time patient data. This trend for data analysis will only grow overtime as the infrastructure for computing increases.

1.3

Advanced Risk Analysis

The global market for risk analytics is projected to grow from $59.7 billion in 2024 to$180.9 billion in 2029, at a CAGR of 24.8%. Risk analytics is important in the global© Genius Ventures, Inc.
Whitepaper 1.2

market due to its ability to identify, assess, and mitigate various risks that businesses
encounter.
New technologies, such as artificial intelligence, allow institutions to improveunderwriting decisions and increase revenues while reducing risk costs.
Computer and Block Desktop grids, (such as those that GNUS.AI has developed andpatented), can potentially disrupt all clouds, large data, and HPC economics.
Currently, there are some solutions for high-speed processing of transactions via a
Blockchain cryptotoken. Some of these solutions attempt to use different techniquesto speed up the verification of transactions, but these solutions fail to meet the needsof the industry because the current systems’ verification of transactions takes
several seconds to several minutes. Other solutions attempt to solve this issue by
using Directed Acyclic Blockchain cryptotokens, but still, fall short as decentralized
applications are integrated.

2 Blueprint for Distributed General-Purpose Computing with
Cryptotoken Payment System
GNUS.AI aims at providing a system and method for distributed general-purpose
computing with crypto token payment system which offers a full system that
integrates a slow Blockchain Cryptotoken with a fast Directed Acyclic Graph
Blockchain Cryptotoken. This technology is based on smart contracts in the form of"Genius Tokens,” allowing the creation of a virtual cloud infrastructure that provides
high-performance computing services on demand.
GNUS.AI seeks to implement a scalable, high-performance, secure and manageable
infrastructure side chain that promotes a new form of distributed management,
including key leaders in the computing, large data, and cloud industries.
We believe in the future of decentralized infrastructures and market networks, where
Big Data and HPC applications, high-value data sets and computing resources(storage, processors, GPU) are monetized on the blockchain with the highest level oftransparency, resistance and security, and Genius Venture as a critical platform forthe future.
We are building a highly-scalable hybrid blockchain for every computing need andsolution. Be a part of this revolution!

© Genius Ventures, Inc.
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3

Market Challenges and Opportunities

3.1

Blockchain Computing Challenges

Blockchains like Ethereum offer a new approach to decentralized applications (alsocalled DApps). Ethereum allows developers to write smart contracts, which are codethat runs in a virtual machine. This represents a potential revolution in the design andimplementation of services such as investments, finance, corporate financing, theInternet, insurance, forecasting markets, gambling, distributed data processing, andmore.
Despite their unique promise, blockchains offer minimal computing capabilities to run
distributed applications: several kilobytes of storage, a very inefficient virtual machine,
and a high-latency protocol. In the end, blockchain technology will likely be developed
to solve some of these problems, but it is increasingly necessary for all but thesimplest applications. The complexity of scalability limitations is revealed by the
proliferation of layer 2s and app-chains, high transaction fees, and transaction
processing difficulties on high-throughput monolithic chains.

3.2

Traditional Computing Infrastructure Challenges

Existing clouds cannot meet the DApp requirements that require an utterly
decentralized infrastructure for their execution. At the same time, industry andscientific communities are increasingly demanding computing power to deploy
large-scale applications and manage large amounts of data.
The power of a computer to run large data applications is provided by cloudcomputing and HPC's high performance. This means that small, innovative
companies often lack the resources and experience to acquire and manage HPC
platforms. Meanwhile, traditional cloud service providers, such as Amazon AWS,
remain very expensive for demanding applications, graphics processing, and others.
Additionally, data centers consume significant amounts of energy to operate servers
and cooling systems. This not only incurs high costs but also has a considerable
negative impact on the environment. In response, we've developed a new form ofdecentralized cloud computing that harnesses blockchain technology to reduce
infrastructure usage costs.

© Genius Ventures, Inc.
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4

The GNUS.AI Solution

GNUS.AI supports the emerging class of blockchain-based distributed applications
and enables cost-effective high-performance computing by constructing adecentralized cloud infrastructure that utilizes Directed Acyclic Graph Blockchain
Cryptotokens integrated with decentralized applications.
Our system is unique when compared to other known systems and solutions, as it
integrates a slow Blockchain Cryptotoken with a fast Directed Acyclic Graph
Blockchain Cryptotoken. Similarly, the software disclosed is unique compared to otherknown solutions, as it offers a distinctive method for applications and games to utilize
unused computing cycles to earn Cryptotokens by processing real data, such as
Artificial Intelligence or Machine Learning data.
Typically, other cryptocurrencies and Cryptotokens are earned through mining, which
involves using computing devices to solve complex mathematical problems to verify
a block on the blockchain. However, this mining does not process real data and ismerely a competition to determine who receives the mining payments.
A

blockchain-based

decentralized

cloud,

coupledwithahybridcryptocurrency/cryptoken payment system, facilitates on-demand, secure, and lowcost access to the most competitive computing infrastructures. DApps rely on GNUS.AI
to automatically search, find, provision, utilize, and release all the computing
resources they require: applications, datasets, and servers.
We envision a new ecosystem of companies offering storage, computer farms, data
providers, web hosting, and SaaS applications, all conducting business with eachother through GNUS.AI. This localized cloud can open new markets for aggressive
utilization of existing computing infrastructures.

4.1

Core Value Proposition

At GNUS.AI, we aim to address the needs of all decentralized businesses as outlined
below:
1.

DApp providers can perform off-chain computations on demand.

2. Application suppliers can lower the computing prices of their decentralized
applications by employing a safe, reliable, and robust infrastructure.

© Genius Ventures, Inc.
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3. Customers can select A.I. or Machine Learning algorithms through a customer
portal, and data can be uploaded to customers' secure servers.
4. Stand-alone applications, embedded systems, or games with the SDK
integrated can run the processing.
5. Server suppliers can monetize underused computing resources and increase
the return on investment on their existing infrastructure by seeking higher
profits in providing their servers.
6. The hybrid Cryptotoken system uses a fast internal Directed Acyclic Graph(DAG) based blockchain that executes transactions in microseconds.
7. Development of the SDK is targeted for mobile devices first and can be used on
any computer system.
8. The code and SDK work on all devices, including Windows, macOS, iOS, Android,and Linux.

4.2

Decentralized Applications or Cloud Infrastructure Users

GNUS.AI can offer computing resources to decentralized applications at a significantly
lower cost than traditional blockchain computing resources, enabling them to deliver
more value to their customers. The transparency of resource suppliers can reward
reliable suppliers, with integrated Quality-of-Service controls ensuring the required
level of computing resources. Support for various resource suppliers and full visibility
into partial contributions from each supplier contributes to transparency.

4.3

Genius Token Blockchain

Utilizing unused cycles of Compute Devices on computers, mobile devices, and IOT
devices, the system processes Artificial Intelligence and Machine Learning data on an
end-user device. The end-user gets paid in Genius Cryptotokens that can be reusedfor In-App purchases or converted back to other currencies. The entire system easily
integrates into a computer or mobile games and applications.

© Genius Ventures, Inc.
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5Market Overview – Opportunities

5.1

The Perfect Timing
1.

The convergence of several trends has created an optimal businessenvironment for a decentralized cloud infrastructure. In addition to the
traditional users of cloud computing, the new generation of distributed
applications (DApps) is becoming important, changing dynamics, andexhibiting excellent potential for the future.

2. Proof-of-work tokens have led to the creation of large groups of optimized
computer resources seeking the highest return on investment (ROI), thus
providing significant resources on the supply side.
3. Smart Contracts have reached a point where they can encompass all thecomplexities of the decentralized computing resource market, significantly
simplifying the infrastructure.
The sum of these trends justifies a specific market initiative to launch cloudcomputing initiatives and be prepared to meet the growing demand for cloudcomputing resources in the coming years.

5.2

The DApps Market

Smart contracts face certain technical challenges, especially in areas like cross-chaininteraction. Currently, different blockchain platforms and ecosystems employ theirown smart contract languages and implementation methods, complicating thecross-chain interaction of both smart contracts and decentralized applications(DApps). Addressing how to achieve interoperability and data transmission between
different blockchain platforms is a pressing concern. Academic Journal of Computing&

Information

ScienceISSN

2616-5775

Vol.

7,

Issue

3:

55-62,

DOI:

10.25236/AJCIS.2024.070308 Published by Francis Academic Press, UK -58- fields.
When considering the type of DApps that can make the most computational impact,
we must first look at the current DApp trend. 'Blockchain gaming remains at theforefront of the Web3 industry, as evidenced by our latest gaming reports. This quarter
is no exception,' reported DappRadar for the first quarter of 2024. 'Blockchain gaming© Genius Ventures, Inc.
Whitepaper 1.2

claims a 30% dominance, attracting around 2.1 million daily unique active wallets thisquarter, marking a 59% increase.’
GNUS.AI positions itself as an essential engineering tool, providing DApps with secure,scalable, and straightforward access to computing resources.
We believe that these resources and innovations ensure computational support for awide array of CPU or GPU-intensive DApps, spanning industries such as gaming,
artificial intelligence, cryptography, 3D rendering, and scientific computing.
Our focus initially lies on DApps integrated into a hybrid cryptocurrency/cryptotoken
system, forming the cornerstone of our adoption strategy. We envision an ecosystemfilled with more valuable and diversified applications leveraging the unique propertiesof blockchain technology, poised to revolutionize various industries and compete withtraditional platforms as they evolve.

5.3

The Edge and Fog Computing Market

Fog computing in IoT is a decentralized computing model that brings computationand data storage closer to the edge of the network. In other words, fog computing
moves processing power and data storage away from centralized server farms andinto local networks where IoT devices are located, as stated by the International
Council of E-Commerce Consultants (2022).
According to Market.us (n.d.), the Global Fog computing market size is poised to growfrom $246.9 million in 2023 to $9,698.2 million by 2032, growing at a CAGR of 52.1%.
The Internet of things is rapidly increasing its potential to transform everyday life withhomes, cities, farms and smart manufacturing facilities. The prospects for growth in
the market are enormous, and Gartner expects that Worldwide IT spending is
expected to total $5.06 trillion in 2024, an increase of 8% from 2023, according to thelatest forecast.
The development of an Internet-based solution requires cooperation, coordination,and uncompromised connectivity for each part of the system and the entire network.
All devices must work together, integrate seamlessly with each other, andcommunicate transparently and securely with connected systems and infrastructure.
Achieving this is possible, but it can be costly, time-consuming, and demands© Genius Ventures, Inc.
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significant technical expertise and resources. Additionally, ensuring seamless
interoperability and robust security measures across the entire network demands
meticulous planning, testing, and ongoing maintenance. Despite the challenges, thebenefits of a fully integrated and secure Internet-based solution are immense,
offering enhanced efficiency, scalability, and agility for businesses and users alike.

6

System Architecture Overview

6.1

The Genius Venture Invention - GNUS.ai

The Genius Venture invention is a system and method for distributed general-purpose
computing with a cryptotoken payment system, providing a comprehensive solutionthat integrates a slow Blockchain Cryptotoken with a fast Directed Acyclic Graph
Blockchain Cryptotoken. The instant invention provides:•

A Hybrid Cryptocurrency system that allows for high-speed transactions tooccur decoupled from the slow operations of normal Cryptocurrencies.

•

A mechanism to verify the processing of data and payments to the End User’s
wallet for the processing of data used for In-App purchases or in-game
purchases of items.

•

Mechanisms for the transfer of unprocessed and processed data to the clientor customer.

Similarly, the associated software is unique in that it incorporates interfaces that allow
applications and games to utilize unused cycles of one or more devices to processreal data and receive payments for the processing of data.

6.2

Our Computer Process

6.2.1

Components•

Generic Blockchain Cryptotoken•

Directed Acyclic Graph Blockchain Cryptotoken•

Payment System•

Proof of Work

© Genius Ventures, Inc.
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•

Decentralized File System•

Data Delivery/Storage•

Processing•

Communications•

Software Development Kit•

Cryptocurrency Wallet•

Compute Devices

The associated computer process is made up of the following executable steps, all ofwhich are required in all versions:1.

Customer pays currency into a converter system that converts it into a
Cryptotoken and sends the transaction to the Generic Blockchain Cryptotoken
component, which holds the payment as a deposit. The customer then sends
the processed data to the Decentralized File System component which is stored
in the Delivery/Storage component.

2. The customer initiates a processing request with the Decentralized File Systemcomponent's location and the Generic Blockchain Cryptotoken deposit
account. The Generic Blockchain Cryptotoken component calculates the costof processing and reserves that amount of Cryptotoken for processing.
3. The Generic Blockchain Cryptotoken component then deposits equivalentamounts of the Directed Acyclic Graph Blockchain Cryptotoken into the
Directed Acyclic Blockchain component.
4. The Directed Acyclic Graph Blockchain Cryptotoken component sends theprocessing request to the Communication component, which distributes thework to a multitude of End User Devices for processing through the Software
Development Kit.
5. The Software Development Kit then sends the request to the Processing
component.

© Genius Ventures, Inc.
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6. The Processing component communicates with Compute Devices to process
the data.
7. The Compute Devices process the data and send the processed data to the
Delivery/Storage component, signaling back to the Processing component
upon completion of the processing.
8. The Processing component signals back to the Software Development Kit
component upon process completion.
9. The Software Development Kit signals the Communication component that theprocess for one device is complete.
All processing reports sent to the communication component trigger a signal to the
Proof of Work component, which verifies the integrity of the processed data. Upon
verification, the Proof of Work component signals the Generic Blockchain Cryptotoken
component to release the hold on the Generic Blockchain Cryptotoken. Subsequently,
the Generic Cryptotoken sends a signal to the Directed Acyclic Graph Blockchain
token to release Cryptotokens to the End User’s Cryptotoken Wallet.

© Genius Ventures, Inc.
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6.3

6.3.1

Distributed General-Purpose Computing System
Crypto Payment System

Fig. 1-Distributed General Purpose Schematic Diagram

Decentralized Application 1002
As illustrated in FIG. 1 above, the Distributed General-Purpose Computing System(1000) comprises a Decentralized Application (1002), an End User’s Device (1006), anda Directed Acyclic Graph Blockchain Cryptotoken Component 1004. The Decentralized
Application (1002) communicates with the End User’s Device (1006) and the Directed
Acyclic

Graph

Blockchain

Cryptotoken(1004)

throughtheCommunication

Component (1005) and via a network (1015). This network (1015) may encompass
various types, including local area networks (LAN), extensive area networks (WAN),
virtual networks, telecommunications networks, cellular networks, wireless LANs
(WLAN), and others, facilitating communication among the Decentralized Application© Genius Ventures, Inc.
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(1002), the Directed Acyclic Graph Blockchain Cryptotoken component (1004), and the
End User’s Device (1006). It can be implemented as a wired network and/or wirelessnetwork, or utilize communication technologies such as Bluetooth, NFC, and others.
The Decentralized Application (1002) consists of three components:•

Generic Blockchain Cryptotoken component (1003)•

Communication Component (1005)•

Proof of Work component (1009)

The End User’s Device (1006) encompasses six components:•

Decentralized File System (1008)•

Cryptotoken Wallet (1012)•

Software Development Kit API (1013)•

Delivery/Storage component (1009)•

Processing component (1010)

The Directed Acyclic Graph Blockchain Cryptotoken (1004) operates as a stand-alone
component.
(For further information, please refer to the Super Genius technical details.)(GithubGenius.ai)© Genius Ventures, Inc.
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6.4

Internal Components of the software development Kit API

Fig. 2-Software Development Kit (2001)/API(1013) Schematic

FIG. 2, depicted above, presents a schematic diagram detailing the internal
components of the Software Development Kit (2001) and the Software Development
Kit API (1013). The General-Purpose Compute Devices (2002) represent various
computing devices, including Graphics Processing Units (GPUs) (2006), Central
Processing Units (CPUs) (2007), and other types of Processing Units 2008. A Device
App/Game (2000) is connected to the Software Development Kit (2001) via an
Application Programming Interface (API) (2009), (2010). For more information, pleasesee Super Genius Technical Details.

© Genius Ventures, Inc.
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6.5

Customer Transaction

Transfer Data to be
Processed to
Decentralized File

Fig. 3-User Transaction Flow

FIG. 3 illustrates a flow diagram of a typical user transaction, where the user converts
any currency to a Cryptotoken (3000), which is then sent to the Generic Blockchain(3001).

© Genius Ventures, Inc.
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6.6

Internal Workings of Request Processing.

Fig. 4 -DApp Processing Request Flow Diagram

FIG. 4 depicts a flow diagram of the internal workings of the processing request inside
the Decentralized App (DApp), where the DApp calculates the amount of
Cryptotokens required for this transaction (4001).
The calculation factors in the required processing power and the size of the data to
determine if there are sufficient Cryptotokens deposited to execute this transaction© Genius Ventures, Inc.
Whitepaper 1.2

(4002). If there are enough Cryptotokens available, they are transferred to the Directed
Acyclic Graph Blockchain (4003). Subsequently, the Dapp sends the processing
request to the Software Development Kit API (4004). However, if there are insufficient
Cryptotokens, the application aborts and returns an error message (4005).

6.7

In-App or In-Game Purchases
FIG. 5 presents a flow diagram
illustrating how an Application orGame (App/Game) might utilize
Cryptotokens for in-app or ingame

purchases.

Initially,

the

App/Game checks the user's orplayer's wallet to determine if there
are sufficient Cryptotokens for thetransaction(5000).

Cryptotokens

are

If

enoughavailable,awithdrawal from the Wallet isinitiated (5003). However, if there
are insufficient Cryptotokens, an
in-app or in-game purchase ismade. This purchase deposits acertainpercentage

into

the

Blockchain (5001) and then adds
equal amounts to the Directed
Acyclic Cryptotokens (5002) via a
Cryptotoken wallet. The process
then rechecks the amount of
Cryptotokens available.
Fig. 5-App/Game Purchase Flow

© Genius Ventures, Inc.
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6.8

Data Flow

FIG. 6 depicts a flow diagram
illustrating the processing of data
flow. The first check ensures thatthedevices

deviceshaveavailable

computefordata

processing. If not, the flow ends
immediately.

Ifavailable,

theprocess retrieves the transaction
ID from the Graph Blockchain
system (6002). Subsequently, it
retrieves

the

data

Delivery/Storage

from

the

Component(6003) and adds the data to theCompute Devices for processing(6004).

Fig.6-Data Processing Flow

© Genius Ventures, Inc.
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6.9

Verification – Data Processing (Proof-of-Work)

FIG. 7 depicts a flow diagram oftheverification

step

to

ascertain the processing of alldata, also known as “Real Proofof Work.” The process begins byextracting the transaction datafrom the Generic Blockchain(7001) as 'tdata.' Subsequently,'tdata' is sent to the Verification
Step (7002). If the Verification
step confirms that all blocks
are verified (7003), a message
is then sent to the Generic
Blockchain

indicating

thesuccessful completion of thetransaction (7004). If not all
blocks have been verified, theprocess sends the problematic
blocks back to the Generic
Blockchain

for

reprocessing(7005).

Fig. 7-Data Processing Flow Diagram© Genius Ventures, Inc.
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6.10

Verification – Blocks of a Transaction

Flow diagram Fig. 8 verifies all blocks
of a transaction request. For eachrequest, a random block is selectedfrom the verification device, which is arandom End User Device. It receives
and processes blocks from otherdevices for verification. A counter ‘i’ isinitialized to 0 as the first block index(8001). The counter ‘i’ is checkedagainstthenumberofdevices

involved. If true, the device is marked
as verified (8003). The checksum of
the verification block is compared withthe random block (8004). If thechecksummatches,thesystemchecks the next device. If verification
fails, the index is marked as false forthedevice(8005).

This

process

continues until all devices' random
verification

blocksarechecked,resulting in an array indicating pass or
fail for each device.

Fig. 8 Verification Block Flow Diagram© Genius Ventures, Inc.
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7

Initial Coin Offering (ICO)

ICOs are a non-regulatory means of raising funds for new companies in thecryptographic field. In 2021 we initiated an Initial Coin Offering (ICO); however, due tothe COVID-19 pandemic and subsequent Ukrainian/Russian war, which affected
some developers working on the project at the time, we decided to withdraw the ICO.
Our focus shifted towards improving our product to better serve multiple verticalmarkets.

8

Launch Pad

Start-up companies often utilize Launch Pads to bypass the rigorous and regulated
capital-raising processes required by venture capitalists or banks. In February 2024,
we conducted a presale round that concluded on March 4th, 2024. A total of 150,747
GNUS tokens were sold, and they are vesting daily until August 30th, 2024. You canview all vesting tokens on unvest.io.

9Centralized/Decentralized Exchanges

In March 2024, GNUS first launched on Bitmart, a well-known CEX. As GNUS.ai expands
its reach and user base, additional CEX platforms will be integrated to facilitate wider
accessibility and trading opportunities.
The goal of GNUS.ai is to reach as many people as possible and make the greatest
impact. Since its launch, multiple chains have been added via Uniswap, in addition to
Polygon and Ethereum, which were the first two chains to house GNUS. We are
currently listed on:•

Ethereum•

Polygon•Binance Smart Chain (BSC)

•

Base

For a comprehensive list of current contracts, please refer to the GNUS Contract.

© Genius Ventures, Inc.
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10

The Team

Kenneth HurleyCEO

Kenneth has been in engineering management for more than 25 years.
He has earned expertise in leading strategy for technology platforms,
partnerships and external relationships. He has built and managed great
technology teams and ensures high technical standards throughout

the organization.

Brent Arias
CTO
Brent is a software engineering leader, full-stack product developer,
cloud architect, and hands-on technologies expert. He drives
transformation & improvement across organizational and technicalboundaries, over a breadth of industries: financial services, healthcare,

IT security, retail, and telecom.

Henrique Klein
SENIOR SOFTWARE ENGINEER/DIRECTOR OF SOFTWARE
Henrique is a phenomenal C++ architect and software engineer and is
our acting Director of Software. He has worked in many industries. His
background in C++ and embedded systems brings a great degree of expertise.

© Genius Ventures, Inc.
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111.

References
DappRadar. (2024). State of the Dapp Industry: Q1 2024. Retrieved from:https://dappradar.com/blog/state-of-the-dapp-industry-q1-2024.

2. Gartner. (2023, September 28). Gartner Forecasts Global Security and Risk
Management Spending

to Grow 14

Percent in 2024. Retrieved

fromhttps://www.gartner.com/en/newsroom/press-releases/2023-09-28-gartnerforecasts-global-security-and-risk-management-spending-to-grow-14percent-in-2024
3. Grand View Research. "Visualization & 3D Rendering Software Market Size, Share& Trends Analysis Report By Type (3D Visualization, 3D Modeling, Layout &Animation), By End Use (Media & Entertainment, Construction & Real Estate),
And Segment Forecasts, 2022 - 2030." Grand View Research, January 2023.
https://www.grandviewresearch.com/industry-analysis/visualization-3drendering-software-market
4. Fortune Business Insights. "Big Data Analytics Market Size, Share & COVID-19
Impact Analysis, By Offering (Solution, Services), By Deployment (On-premise,
Cloud-based), By Application (Fraud Detection and Security Management,
Forecasting & Planning), By End-use Industry (BFSI, Manufacturing), andRegional

Forecast,

2021-2028."

FortuneBusiness

Insights.

https://www.fortunebusinessinsights.com/big-data-analytics-market-106179
5. MarketsandMarkets. (n.d.). Risk Analytics Market by Software Type (ETL, Risk
Calculation Engines), Service, Risk Type (Strategic Risk, Operational Risk,
Financial Risk), Deployment Mode, Organization Size, Vertical (BFSI, IT &Telecom), and Region – Global Forecast to 2026. Markets and Markets. Retrieved
from:https://www.marketsandmarkets.com/Market-Reports/risk-analytics-

market-210662258.html.
6. Market.us. (n.d.). Fog Computing Market: Industry Analysis, Size, Share, Growth,
Trends, and Forecasts 2022-2031. Retrieved from: https://market.us/report/fogcomputingmarket/#:~:text=Report%20Overview,nearer%20to%20the%20network%20edge.

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7. International Council of E-Commerce Consultants. (2022). "Fog Computing:
Everything to Know." Retrieved from: https://www.eccouncil.org/cybersecurityexchange/ethical-hacking/fog-computing-everything-toknow/#:~:text=Fog%20computing%20in%20IoT%20is,where%20IoT%20devices%
20are%20located
8. IDC. (2023, October 5). IDC's First Forecast for the Edge Computing Market Shows
Rapid

Growth,Reaching$103

Billionin2027.

Retrievedfromhttps://www.idc.com/getdoc.jsp?containerId=prUS50552023#:~:text=IDC's%20
First%20Forecast%20for%20the,Reaching%20%24103%20Billion%20in%202027

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