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Elodin

Elodin provides a platform for building, testing, and deploying autonomous systems using aerospace-grade hardware and software. The system includes a simulation environment built with Rust and Python for creating complex physics models and testing flight algorithms. Their Aleph flight computer and plug-and-play software enable rapid development and deployment for drones and satellites.

San Francisco, United StatesFounded 20238700+ followers
Updated 20 months ago

Funding

$2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

LISC
Funding rounds are not available yet.

Founders

Product

Problem

Developing and testing control systems for drones, satellites, and aerospace robotics is complex and time-consuming, often requiring extensive physical testing and specialized hardware. Traditional simulation tools may lack the speed and fidelity needed to accurately model real-world conditions and complex scenarios. This can lead to delays in development, increased costs, and potential performance issues in deployment.

Solution

Elodin provides a GPU-accelerated simulation platform designed to streamline the development and validation of control systems for aerospace applications. The platform enables engineers to rapidly design, test, and refine algorithms through high-fidelity simulations. By leveraging Rust and Python, Elodin allows users to create custom physics simulations and evaluate system performance under various conditions. The platform supports the simulation of numerous autonomous actors simultaneously, facilitating the development of robust control systems for drones, satellites, and defense applications.

Target Audience

Elodin targets aerospace companies, research institutions, robotics developers, and educational institutions involved in the design, testing, and deployment of control systems for drones, satellites, and aerospace robotics.

Features

  • GPU-accelerated physics simulation using Rust and Python with XLA and JAX
  • Support for simulating fleets of drones and satellites, enabling the testing of complex swarm behaviors
  • Customizable algorithms, allowing users to define their own mathematical models
  • Ability to run thousands of simultaneous Monte Carlo simulations
  • Open-source flight computer (Aleph) with a modular architecture and support for NVIDIA Jetson Orin SOM for AI capabilities
  • Plug-and-play flight software for immediate deployment
  • Integrated Attitude Determination and Control System (ADCS) for satellite missions
  • Live telemetry for real-time data monitoring and diagnostics
This profile is AI-generated and may contain inaccuracies.