Platform
The Complete Stack for Orbital Compute.
Space compute isn't just "AWS in orbit." It's distributed, intermittently connected, energy-constrained, and radiation-exposed. Every cloud assumption breaks. We're building the software primitives that make orbital compute possible.
Four Layers. One Platform.
From planning to intelligence to execution to coordination - the complete software stack for orbital compute. Each layer builds on the one below.
- Distributed coordinates AI workloads across Earth and space
- Runtime executes workloads with space-aware scheduling
- Intelligence provides situational awareness of orbital environment
- Planning validates feasibility before you commit
Why Cloud Assumptions Break
Every assumption that makes cloud computing work fails in orbit.
Distributed Compute
Coordinate AI workloads across Earth and space
Federated learning, model partitioning, and data synchronization for hybrid Earth-space AI infrastructure. Train and run models across ground and orbital nodes with bandwidth-optimized coordination.
Orbital Runtime
Execute workloads across Earth and orbit
Scheduling, inference, and fault tolerance primitives designed for the constraints of space. Not a port of existing tools - built from first principles for orbital compute.
Orbital Intelligence
Understand what's happening in orbit
Track 14,000+ objects, analyze conjunction risks, detect anomalies. The situational awareness layer that runtime depends on.
Planning Tools
Design your orbital compute architecture
Feasibility analysis, thermal modeling, latency simulation, power budgeting. Answer "should we go to orbit?" before you commit.
Get Started
Ready to explore?
Start with our planning tools today. Be ready for orbital runtime tomorrow.