Satlyt’s Vision: Africa in the Space Data Race

Satlyt, a startup founded by Rama Afullo, is betting on software rather than hardware to win the race for orbital data centers. The company raised $8 million in seed funding this week from investors including Non Sibi Ventures, TLCOM, Antler, and Launch Africa Ventures.

Afullo previously pitched his idea at Google and SpaceX, both of which declined. Instead of building new satellites, Satlyt develops software that turns existing ones into distributed AI networks—essentially making the hardware smarter rather than replacing it.

Why This Matters for Africa

The orbital data center market is projected to reach trillions in value as companies like SpaceX and Google invest heavily in space-based computing. However, building physical infrastructure in orbit remains incredibly expensive.

Satlyt’s approach offers a more accessible path for African nations seeking to leverage satellite data: by processing information onboard rather than transmitting it back to Earth, Satlyt reduces costs and improves efficiency—particularly valuable for countries that currently spend billions importing geospatial intelligence they cannot fully utilize locally.

The company has already signed agreements with the Kenya Space Agency and Angola’s GGPEN to deploy AI-driven Earth observation solutions for agriculture, climate monitoring, and disaster response.

From Silicon Valley to Nairobi

Satlyt’s leadership team is entirely Kenyan-American, with engineering concentrated in Nairobi. This positions the company uniquely to address regional needs and build local expertise in a rapidly growing sector.

Afullo compares Satlyt’s role to that of VMware or Snowflake in the terrestrial cloud market—providing an abstraction layer that optimizes existing infrastructure rather than requiring wholesale replacement.

Satlyt’s current focus is on making satellites more efficient for their owners, with Afullo aiming to have its software running on 20% of all satellites by 2030. This may be a more achievable path to relevance than waiting for expensive new space-based infrastructure.