CI/CD & Synthetic Data for the Space Economy

Chapter 1: The Bottleneck

The Sim-to-Real Gap

Hardware is solved. Validation is the bottleneck.

Orbital CV and GNC teams are stuck using desktop software from the 1990s or hacking together internal scripts. You can't train robust Rendezvous and Proximity Operations (RPO) models when it takes 3 months to manually generate a single dataset. Tetryx automates the entire pipeline.

Chapter 2: Physics & Truth

Ground Truth, Not Approximations

Game engines are for games. We trace photons.

We don't use real-time rasterization. Tetryx bridges enterprise-grade astrodynamics with physically based ray tracing. We mathematically simulate harsh solar glare, deep space shadows, and precise Earth albedo to ensure your models perform in orbit exactly as they do in the sim.

Chapter 3: API-First Scale

DevOps for Orbit

From code commit to 10,000 Monte Carlo runs in minutes.

Tetryx acts as a CI/CD runner for your spacecraft. Push your control algorithms via API, and we instantly spin up thousands of headless cloud instances to test every edge case—sensor degradation, thruster misfires, and lighting anomalies. Get your pass/fail datasets delivered to an S3 bucket before your coffee gets cold.

Chapter 4: Deployment

Built for Scale. Ready for the SCIF.

Cloud-native agility with defense-grade security.

Start immediately on our secure cloud infrastructure. When you land a classified program, the exact same Tetryx architecture can be deployed as containerized microservices directly into your air-gapped, on-premise environments. Zero vendor lock-in, zero public cloud dependency.