Satlyt AI satellites are now one step closer to reality. The company, founded by a former Google and SpaceX product manager, has raised an $8 million seed round to run AI on satellites through software that lets many spacecraft share large computing jobs in orbit.
Satlyt is headquartered in Sunnyvale, California, and Nairobi, Kenya. Its software is set to launch Thursday on a SpaceX rocket alongside the first prototype for Google’s space data center effort, Project Suncatcher.
From Google and SpaceX to Orbit
Rama Afullo, a Kenyan American engineer, saw orbital data centers coming long before most people in the industry did. He 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 I was at SpaceX, I tried to pitch this internally. They said no. When I was at Google, I tried to pitch this internally. They said no,” he said.
So he left SpaceX and co-founded Satlyt to build software for satellites that he hopes will let many satellites share the work of large computing jobs in space.
Software, Not Spacecraft
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.
“The folks like SpaceX who are doing orbital data centers — if they are the iPhone, we’ll build Android as a horizontally integrated, open ecosystem,” he said. In other words, Satlyt wants to offer software that works across many companies’ satellites.
Two Demonstration Missions and a 60% Cut
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%, the kind of efficiency that Afullo says can save hundreds of thousands of dollars per satellite each year.
The TakeMe2Space Launch and Three Customers
This week’s launch will put 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 (tracking objects in orbit) that wants to test image processing workloads.
TakeMe2Space itself, to show the satellite can host other companies’ software.
Right now, few high-powered GPUs are in orbit. For now, the most likely opportunity lies in the kinds of workloads Satlyt is working on.
Building a Shared Compute Cloud in Orbit
The company’s next project is to show that it can create a shared computing system — a cloud — spanning two different satellites, which it expects to attempt next year. If successful, it will allow the company to build a true compute cloud in orbit as a third-party provider to spacecraft builders.
“The way to think about it is that we turn your satellite into a revenue-generating managed service,” Afullo said.
The Investors Behind the Seed Round
Satlyt’s seed round was led by Houston-based Non Sibi Ventures. Partner Bernard Harris, who served as a NASA astronaut for more than 20 years, helped ground the firm’s conviction in a novel, 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.
“We don’t need data centers in space for Rama to be wildly successful, right?” Non Sibi partner Kent Lucas said. “It can just be driven by the number of satellites going up.”
What’s Next for Satlyt AI Satellites
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.
“If you’re putting up a satellite without putting up a GPU on it, at the very least, you’re doing yourself a disservice, right?” he says.
