Elodin

Elodin provides a unified platform for designing, simulating, and deploying control systems for drones, satellites, and aerospace robotics. The core workflow moves from algorithm design — written in Python or Rust against an expressive physics API — through software-in-the-loop testing, hardware-in-the-loop testing against real flight hardware, and into deployment on the Aleph flight computer. The simulation engine runs on GPU via XLA and JAX, so iteration cycles that would stall on CPU stay fast enough to be part of a daily development loop.

The differentiating capability is the combination of local GPU-accelerated simulation with the ability to simulate fleets — the vendor states tens of thousands of autonomous actors in real-time — covering swarm coordination scenarios that most flight simulation tools treat as edge cases. Monte Carlo simulation is built into the platform; the docs describe running hundreds of thousands of simultaneous test runs, though at that scale the workflow moves from the local engine to the cloud offering.

Elodin fits teams that need to close the loop between algorithm development and hardware testing without maintaining separate simulation and integration environments. The open-source core and self-hosted option make it viable for defense and government programs with strict data residency requirements. The ceiling appears when Monte Carlo campaigns need to run at cloud scale — that path requires a commercial agreement — and teams integrating with non-Aleph hardware need to validate that the flight software layer maps cleanly to their stack.

The Aleph flight computer runs NVIDIA Jetson Orin, targets COTS modularity, and ships with satellite ADCS and live telemetry out of the box. The flight software is available on GitHub. Teams evaluating Elodin purely as a simulation toolkit can use the open-source engine without the hardware product, but teams wanting the full HITL pipeline will need to assess Aleph compatibility with their airframe early in the program.