Orbital Raises $5 Million to Build Data Centers in Space
The Convergence of Mobility and Aerospace
Orbital, a startup emerging from a16z's Speedrun accelerator, has successfully raised $5 million in seed funding to build data centers in space. This development signals a significant shift in the venture capital landscape: investors are now willing to fund long-term, capital-intensive space projects, even for founders without deep aerospace experience. The company aims to solve the critical bottleneck of AI compute deployment on Earth by moving processing power to orbit.
Orbital's $5 Million Bet on Space-Based Inference
Founded by Euwyn Poon, who previously sold his e-scooter company Spin to Ford, Orbital is leveraging his experience scaling mobility infrastructure to tackle aerospace challenges. The team, currently based in Los Angeles with backgrounds at Amazon LEO, SpaceX, and Northrop Grumman, is preparing for a demo flight in 2026 to test Nvidia Blackwell chips on a partner's satellite. The ultimate goal is to launch the first data-processing spacecraft in 2028 equipped with Nvidia's Space-1 Vera Rubin-class GPUs.
- Funding Round: $5 million seed round led by Basis Set and Human Element, with participation from a16z Speedrun.
- Team Expertise: Includes former Amazon, SpaceX, and Northrop Grumman engineers.
- Technology: Focus on radiation shielding and thermal management for high-performance chips.
Economics of Orbit: Falcon 9 vs. Starship
The core business case for Orbital relies on the future economics of space travel. Currently, the cost of launching hardware via Falcon 9 makes space data centers economically unfeasible. Orbital is betting entirely on SpaceX's Starship to reduce launch costs sufficiently to make the business model viable. The company aims to deploy 10,000 satellites that provide a distributed gigawatt of computing power, with each satellite delivering 100 kW of power.
Why Former Scooter Founders Are Building Rockets
The entry of Euwyn Poon and other non-aerospace veterans into the space sector highlights the intense demand for AI compute. As terrestrial data centers face limitations in power and cooling, space offers a solution with unlimited sunshine and minimal environmental reviews. However, the competition is fierce. Rivals like Starcloud and Cowboy Space Company are also racing to launch GPUs into orbit, while Blue Origin is developing its own New Glenn vehicle for this purpose.
The 2028 Timeline for the First Space Data Center
Poon is confident that the breadth of AI demand will allow multiple companies to succeed in this niche. While the project faces a long timeline—potentially taking a decade and $5 billion or more—venture partners like Andrew Chen believe the current capital markets are supportive. The strategy is to start with piece-wise inference work to generate revenue immediately, scaling up to a full constellation once Starship becomes operational.