Company: SATLW
Filing Date: 2025-03-26
Form Type: 10-K
Source: 0001628280-25-014951
Chunk: 96

Company: Satellogic Inc.
Filing Date: 2025-03-26
Form: 10-K
Item: Item 1
Chunk 96
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 with increasing complexity and value-add, that are made available as data-services to our customers. Our approach will allow us, our partners and customers to prototype and iterate on geospatial AI/Machine Learning models trained on our unique datasets, and then quickly roll out results into production systems. We intend to commercialize this platform and allow clients to use it to address their needs on their own. 

Target commercial customers for our data are companies with their own internal geospatial analytics needs and capabilities as well as value-added service providers serving corporate and government customers worldwide from marketplaces to analytics providers. Subscriptions to the platform will be driven by the demand for our unique data set of high-resolution daily captures and derived insights. We plan to combine direct sales efforts to large customers in target verticals with partnerships with geospatial service providers and imagery data distributors to reach the long tail of geospatial data and analytics consumers. We expect that as our constellation grows and affordable high-resolution imagery and its derivatives become more frequent, new applications and markets will be created. 

Driven by our unique, sub-meter resolution, we believe our data sets when scaled will cover up to 80% of the requirements of our target markets, and we expect our commercial platform to become the industry standard for consuming and implementing geospatial analysis, which will give us the leverage to consolidate an increasing number of data sources from third-parties (e.g., satellites, drones, IoT data) and our own data generation efforts (from multi-spectral imagery to hyperspectral imagery to spectrum monitoring and data collection). 

Seasonality

We have experienced, and expect to continue to experience, seasonality in our business and fluctuations in our operating results due to customer behavior, buying patterns and usage-based contracts. For example, we typically have customers who increase their usage of our data services when they need more frequent data monitoring over broader areas during peak agricultural seasons, during natural disasters or other global events, or when commodity prices are at certain levels.

15

Operations

Overview

•Design through launch

•Fast iteration between product innovation, production and launch 

•Owning the design to manufacturing helps eliminate third-party costs 

•In-orbit operations

•Own and control data capture of the earth’s surface 

•Utilize third-party ground station infrastructure for global coverage and to reduce costs 

•Imagery and Solutions commercialization

•Capture and own high-resolution imagery of the entire Earth. Unconstrained use of imagery 

•Use internal data science capabilities to transform images into insights 

We believe that