Company: SATLW
Filing Date: 2025-03-26
Form Type: 10-K
Source: 0001628280-25-014951
Chunk: 92

Company: Satellogic Inc.
Filing Date: 2025-03-26
Form: 10-K
Item: Item 1
Chunk 92
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 that utilizes adaptive optics allowing us to collect approximately 10 times more data from orbit than any of our competitors using a smaller aperture. Additionally, our camera design has afforded us the ability to create a compact satellite design resulting in three times lower mass and lower launch costs when compared to one of our NewSpace competitors. 

•Vertically integrated. We are a vertically integrated company, and we design our satellites and all of their subsystems, including onboard computers, propulsion system, telescopes, cameras, radios, sensors and actuators. We manufacture many of our components, but we also partner with third parties to manufacture certain other components to our design specifications. We then assemble, integrate and test the components and satellites in our facilities. By designing every core component with our specific mission in mind (as compared to sourcing non-mission specific components built for a wide range of applications as our competitors do), we lower the cost of our materials by a factor of 10x. Our cost to deploy a high-resolution imaging satellite in orbit today, including launch costs, is approximately $1 million compared to our NewSpace competitors’ average cost of approximately $10 million with an average of 10x less capacity. 

•Efficient build-to-launch cycle. Our fast build-to-launch cycles allow us to go from a signed contract to a satellite delivered in orbit in less than eight months, a first in this industry. The fast turn-around and the appealing technical characteristics of our satellites paired with their low cost create a valuable alternative for customers looking to increase their in-orbit capacity quickly, or for customers looking to build an inventory of assets to lower response times in the face of emergency. 

•High frequency remaps. When we reach weekly remaps, we expect to provide approximately 80% of the global supply of high-resolution imagery in the market at near zero marginal cost, effectively consolidating supply, which will allow us to also consolidate demand on our platform. We believe this will create a significant disincentive for any competitor to build infrastructure to do the same. In addition, we believe that the archive of everything that is happening on the planet on a daily basis, in high resolution, will allow us, our partners and customers to train better artificial intelligence (“AI”) algorithms. By doing so, we expect to serve customers on a larger scale which will allow for the improvement of these algorithms at a faster pace, thereby creating a network effect on the accumulation of archived data that we plan to build in our catalog. 

We believe that these characteristics—the near zero marginal cost for