Satlyt, a startup based in Sunnyvale, California, and Nairobi, has announced an $8 million seed funding round led by Non Sibi Ventures. The funding will support the development of software that allows AI models to operate on satellites, facilitating the sharing of substantial computing workloads in space.
This initiative is significant as it positions Satlyt as a software layer akin to Android in a market dominated by hardware-focused companies like SpaceX. The startup has already demonstrated its capabilities by running Google DeepMind's Gemma model aboard a Momentus spacecraft, achieving a notable reduction in onboard error transmission, which could lead to significant cost savings for satellite operators.
Looking ahead, Satlyt plans to showcase a shared cloud system across two satellites next year and aims to have its software operational on 20% of satellites by the end of the decade. The success of this venture will depend on the increasing number of satellites in orbit, as highlighted by Non Sibi partner Kent Lucas.
Editor's Note
The rise of satellite technology is reshaping the landscape of space computing. As companies like Satlyt innovate in software solutions for satellite operations, the potential for cost savings and enhanced capabilities in space surveillance and data processing becomes increasingly relevant for enterprises and investors alike. This trend may influence procurement strategies and investment decisions in the aerospace sector.
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