Entropy Robotics offers a robot‑agnostic autonomy stack that runs entirely on a drone’s edge compute, enabling GPS‑independent navigation, real‑time perception, and autonomous decision‑making without cloud connectivity.
Funding
Funding not disclosed
Founders
Product
Problem
Many drone operators rely on systems that require GPS signals, constant cloud connectivity, and extensive custom engineering, limiting deployments in GPS‑denied or communication‑restricted environments and increasing development costs.
Solution
Entropy Robotics provides a robot‑agnostic autonomy stack that runs entirely on the drone’s edge compute resources. The software ingests real‑time sensor data to perform navigation, perception, and decision‑making without GPS or external processing. A built‑in intelligence loop continuously retrains models from mission data, delivering incremental improvements while ensuring customers retain full ownership of their data and models. The stack can be integrated with any airframe, allowing operators to deploy autonomous capabilities without dedicated R&D teams.
Target Audience
Primary customers are drone operators and robotics teams that need autonomous capabilities in GPS‑challenged or connectivity‑limited settings, including defense, infrastructure inspection, and emergency response organizations.
Features
- GPS‑independent navigation using onboard vision and sensor fusion for operation in denied environments
- Fully on‑device AI inference for real‑time detection, recognition, and autonomous decision making
- Continuous model retraining loop that updates the fleet with improvements derived from collected mission data
- Modular software layer that separates intelligence from hardware, enabling integration with any drone platform
- Collaborative mission planning and coordination tools for multi‑drone operations
- End‑to‑end data ownership, giving users control over raw sensor data and trained models