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Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites
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Tim Fernholz

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Satlyt, founded by a former Google and SpaceX product manager, raises $8M to run AI on satellites

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 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 tells TechCrunch.

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, Afullo exclusively told TechCrunch.

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.

“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.

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.

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This story was published by TechCrunch AI and written by Tim Fernholz. SyncAI.news shows a preview; the complete article is on the publisher's site.

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