Founding and Vision
The way Rama Afullo tells it, he saw orbital data centers coming.
The Kenyan American engineer previously worked in Google’s cloud computing business before a brief stint at SpaceX’s Starlink communications network in 2024. His experiences convinced him that there was untapped potential for computers in space.
When he was at SpaceX and Google, internal pitches for the concept were rejected.
So he left SpaceX and co-founded Satlyt, a new company with headquarters in Sunnyvale, California, and Nairobi, to build software for satellites that he hopes will let many satellites share the work of large computing jobs in space. The company has raised an $8 million seed round.
Launch and Software Strategy
The timing looks good for him. SpaceX has since gone all-in on orbital data centers, and Satlyt’s software is set to launch Thursday on a SpaceX rocket alongside the first prototype for Google’s space data center effort, Project Suncatcher.
Unlike SpaceX, Google, or startups like Starcloud and Cowboy Space Company, Satlyt isn’t planning to build its own spacecraft. Afullo’s team is building the software to operate AI models on satellites, comparing his approach to VMware and Snowflake — companies whose platforms let users run complex software without worrying about the underlying infrastructure.
Satlyt wants to offer software that works across many companies’ satellites as a horizontally integrated, open ecosystem.
Orbital Efficiency
Satlyt has already flown its software on two demonstration missions. The initial focus is finding operational efficiencies for spacecraft, which typically depend on flight controllers on the ground to solve any problems that arise. Sending data back to Earth, known as downlink, is expensive and often slow, so using AI to make decisions on the spacecraft can mean real savings, either when resolving anomalies or by processing sensor readings on the spacecraft instead of on the ground.
Earlier this year, Satlyt deployed Google DeepMind’s Gemma AI model onboard a spacecraft operated by Momentus. The model cut the size of a transmission about onboard software errors by more than 60%, saving hundreds of thousands of dollars per satellite each year.
A subsequent launch puts Satlyt’s software to work onboard a spacecraft built by TakeMe2Space, an Indian startup that builds computing hardware for satellites. The mission involves three customers: NASA, which is paying the company to test protocols for cloud computing in space; Stellerian, a startup focused on space surveillance that wants to test image processing workloads; and TakeMe2Space itself, to show the satellite can host other companies’ software.
Future Infrastructure
Right now, few high-powered GPUs are in orbit. The company’s next project is to show that it can create a shared computing system spanning two different satellites. If successful, it will allow the company to build a true compute cloud in orbit as a third-party provider to spacecraft builders.
Afullo described the model as turning a satellite into a revenue-generating managed service.
Funding and Market Outlook
Satlyt’s seed round was led by Houston-based Non Sibi Ventures, where partner Bernard Harris, who served as a NASA astronaut for more than 20 years, helped ground the firm’s conviction in a space-based business.
One reason the firm invested was that Satlyt doesn’t depend on a highest-octane vision of space data centers, which faces uncertain economics and a launch bottleneck. The business can be driven entirely by the growing number of satellites going into orbit.
Afullo’s hope is to be live on 20% of satellites by the end of the decade, when he expects virtually every spacecraft builder to be putting GPUs and similar advanced processors in their satellites.
Operating a satellite without a GPU represents a missed opportunity for onboard data processing, according to the founder.
Satlyt is among dozens of other startups vetted by TechCrunch and appearing at Disrupt as part of our broader Battlefield competition happening October 13-15 in downtown San Francisco. Learn more here.
