SCALOS is the validation and decision infrastructure for autonomous satellite operations — collision avoidance, maneuver planning, and constellation-scale coordination. Simulate. Validate. Decide — before a single command executes in orbit.
The systems built to manage orbital assets were designed for a different era. The threat environment has outpaced the infrastructure. This is not a projection — it is the current state.
Bottom line: Wasted fuel. Shortened mission lifetimes. Operator overload. Rising collision risk. The gap between orbital congestion and autonomous decision capability is widening — and closing it manually is no longer an option.
See the solution →SCALOS simulates orbital physics, sensor uncertainty, and adversarial conditions — so operators can train autonomy systems, stress-test maneuver logic, and certify decision behavior before a single command executes in orbit.
Run thousands of synthetic conjunction scenarios per code commit. Eliminate false-positive burns. Validate avoidance logic against the full threat distribution before any command executes in orbit.
Train autonomy systems to coordinate hundreds of assets with minimal human oversight. Energy-optimal maneuvers, automated sequencing, constellation-wide coordination — all validated in simulation first.
Simulate adversarial satellites, non-cooperative debris, and sensor-degraded scenarios. Test edge-case decision logic — including denial, deception, and jamming — before it executes in a real contested orbit.
Model your ConOps in a high-fidelity digital twin environment. Run thousands of scenarios before a single command executes in orbit.
VERTEX OS stress-tests every decision against adversarial edge cases, orbital perturbations, and multi-agent collision scenarios. Fail safely in simulation.
Autonomous policies — trained and validated — execute with confidence. Collision avoidance, constellation coordination, and maneuver planning without ground-in-the-loop delay.
The window to establish the simulation and validation standard for autonomous space operations is open. SCALOS is built to be that standard — before anyone else defines it.
SpaceX, Amazon, and sovereign operators are deploying thousands of satellites annually. By 2030, active LEO objects will outnumber human operators by orders of magnitude. The coordination problem is already unsolvable at current scale.
Source: UCS Satellite Database · FCC Orbital Debris Reports · 2025
DoD and commercial operators are mandating autonomous decision-making at the edge. Humans are no longer fast enough or numerous enough to remain in the loop for routine orbital decisions. The shift is underway — the question is whether the systems are validated.
Source: DoD Directive 3000.09 · Space Force FY2027 Budget Request ($71B)
Flight autonomy systems have no equivalent of the ground testing regimes used in aviation or defense acquisition. SCALOS closes that gap: a rigorous, repeatable simulation and validation environment that meets the bar for operational deployment.
Source: FAA AC 20-115 (DO-178C) · NASA-STD-8739.8 · No equivalent standard exists for autonomous spacecraft
"The operating layer for autonomous space systems — starting with simulation and validation, evolving into the infrastructure that connects prediction, sensing, and on-orbit execution."
Talk to Us →The platform speaks for itself. Ask anything about autonomous orbital operations, collision avoidance, or the SCALOS architecture.
I'm the SCALOS intelligence layer — built for operators who need answers about autonomous space operations. Ask me anything about collision avoidance, constellation coordination, or the orbital threat environment.
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High-fidelity rendezvous, proximity operations, and docking — simulated at full fidelity before a single mission flies.
Validation Pipeline
Calling on satellite operators, defense primes, and government stakeholders building the next generation of autonomous space infrastructure. If orbital autonomy is a priority — we should be talking.
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