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Elodin Systems

A unified aerospace platform for rapid design, simulation, and testing of autonomous flight control systems using advanced physics and cloud computing.

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Product Overview

What is Elodin Systems?

Elodin Systems preview

Elodin Systems offers an integrated platform that streamlines the development of autonomous aerospace systems such as drones, satellites, and eVTOL aircraft. It combines a powerful Python and Rust-based physics simulation toolkit optimized for GPU computing with a scalable cloud infrastructure that enables massive Monte Carlo simulations. The platform supports seamless software-in-the-loop (SITL) and hardware-in-the-loop (HITL) testing, allowing aerospace engineers to rapidly iterate and validate flight software and control algorithms. Elodin also provides modular, AI-capable flight hardware, including the Aleph flight computer, designed for high-performance edge AI computing and flexible hardware integration.


Key Features

  • GPU-Optimized Physics Simulation

    A Python and Rust physics library that leverages GPU acceleration via XLA and JAX for fast, customizable physics engine development.

  • Massive Monte Carlo Cloud Testing

    Run hundreds of thousands of randomized simulations in parallel on the cloud to rigorously test control systems under varied conditions.

  • Seamless SITL and HITL Integration

    Supports both software-in-the-loop and hardware-in-the-loop testing to validate flight software against real or simulated hardware.

  • Modular AI-Capable Flight Hardware

    Aleph flight computer combines NVIDIA Jetson Orin for AI inference with STM32H7 for flight control, enabling advanced autonomous capabilities.

  • 3D Live-Reloading Viewer

    Interactive 3D visualization tool for real-time inspection, analysis, and sharing of simulations.

  • Open Development Platform

    Flexible API and modular architecture that allow customization of algorithms and integration with existing aerospace workflows.


Use Cases

  • Autonomous Drone Development : Rapidly design, simulate, and test drone flight control systems with real-world variability using Monte Carlo simulations.
  • Satellite Attitude Control Testing : Develop and validate precise satellite attitude determination and control systems with integrated ADCS support.
  • eVTOL Aircraft Simulation : Simulate complex control scenarios for electric vertical takeoff and landing aircraft to ensure safety and reliability.
  • AI-Driven Flight Software Deployment : Leverage edge AI computing on Aleph hardware to deploy advanced machine learning models for autonomous decision-making in flight.
  • Aerospace Research and Education : Enable academic institutions and research organizations to build and test aerospace control algorithms efficiently.

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