Safe robot deployment
around people
Runtime safety software for AI‑driven robots
The problem
Humanoids, cobots, and autonomous robots are moving out of industrial cages and into shared spaces around people. Their behavior is increasingly driven by AI, rather than by hand-coded logic.
As these robots take on continuously improving artificial brains, they become more capable but less predictable in what they do. Without ways to constrain what robots can do, risk is hard to bound, accountability is difficult to establish, and deployment of AI-driven robots around people slows. Addressing this problem requires a layer between the AI's decisions and the robot's motion.
What we do
We are building runtime safety software for AI-driven robots. The software is the execution boundary between the brain and the body, where decisions become motion. At that boundary, the software measures, records, and bounds what the robot does, regardless of what the AI decides or how it evolves.
Why now
AI-driven robots are challenging to deploy safely around people at scale. Safety at scale requires an execution boundary that separates decision-making from execution.
Aviation, automotive, and computing each reached a moment when execution had to be separated from decision-making. Robotics is at the same moment.