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LEO-1 MEO-2 r=85

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.

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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
04
Distributed Compute
Coordinate AI across Earth and space
03
Orbital Runtime
Execute workloads in orbit
02
Orbital Intelligence
Understand the orbital environment
01
Planning Tools
Design your orbital architecture

Why Cloud Assumptions Break

Every assumption that makes cloud computing work fails in orbit.

Variable Power
Solar flux cycles, eclipse periods, battery limits. Power is never constant.
Intermittent Connectivity
Ground station passes, orbital motion, eclipse blackouts.
Radiation Effects
10-100 bit flips per device per day in LEO. Hardware errors are normal.
Variable Latency
LEO: 5-40ms. GEO: 240ms+. ISL hops add unpredictability.
Thermal Limits
No convection in vacuum. Heat rejection via radiators only.
Zero Manual Intervention
You can't send a technician to LEO. Systems must self-heal.
04

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.

Federated Learning Model Partitioning Sync Scheduler Space Mesh

Status: Research → Production 2027

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03

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.

Orbit Scheduler Adaptive Runtime Resilient Compute

Status: Simulation + Research → Production 2027

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02

Orbital Intelligence

Understand what's happening in orbit

Track 10,000+ objects, analyze conjunction risks, detect anomalies. The situational awareness layer that runtime depends on.

Satellite Tracking Conjunction Analysis Pattern Detection

Status: Available Now

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01

Planning Tools

Design your orbital compute architecture

Feasibility analysis, thermal modeling, latency simulation, power budgeting. Answer "should we go to orbit?" before you commit.

Feasibility Analyzer Thermal Modeler Latency Simulator Power Planner

Status: Available Now

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The Timeline

We're building software before the hardware is common - so it's ready when you need it.

Year Industry RotaStellar
2025-2026 First orbital compute satellites (experimental) Simulators, research, open-source tools
2027-2028 First commercial orbital DC deployments Production runtime for early adopters
2029+ Scaling orbital compute infrastructure Default orchestration layer

See It In Action

Watch the Orbit Scheduler make real-time placement decisions based on energy availability, connectivity windows, and thermal constraints.

Orbit Scheduler - Live Simulation
Workload llm-inference (llama-70b)
Latency SLA 200ms
Decision → orbital_node_1
Reason energy_surplus (847W available)
Eclipse in 43 min
Experience the Demo →
"The winning companies won't sell 'space servers.' They'll sell software brains. We're building the primitives that make orbital compute work - years before the hardware is common."

Ready to explore?

Start with our planning tools today. Be ready for orbital runtime tomorrow.

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