AiNOS Spar
Your agent, attacked on your side.
We attack your agent or physical AI the way an adversary would: not the model, but the harness, the inputs and the authority chain around it. Every gap comes back reproduced, with its fix.
For AI teams
We attack your agent and measure it against its goal.
For teams that already build agents or physical AI: find the gaps before anyone else does, know where each capability breaks, and bring your fleet into a customer's site only after its twin has run it.
Physical AI research direction: realistic people in the twin, as part of the environment a robot is tested in. See the research
AiNOS Proof
Every capability, measured against its goal.
We build the evaluation from your agent's own goal: every capability it needs, cases for each, stress at the edges, and the cause and fix for every weak spot.
AiNOS Preflight
Find deployment risks before day one.
Before a new fleet enters a working site, Preflight scans the site into a 3D twin, places the fleet in it and runs real days through it, so the risks those days reveal are found, traced to their cause and fixed in the plan before day one.