OI: Operating Intelligence
AI-native software that accelerates the loop from simulation to deployment. If physical AI gives humanity more capacity to act, Geodesic OI gives us more capacity to build physical AI.
Explore the PlatformBuilding physical AI today is too slow. Engineers move through simulation, testing, failures, real-world data, and deployment before a system becomes useful. Today, that loop takes too much manual work.
The Physical AI Development Loop
Today, each iteration requires weeks of manual engineering work.
Geodesic OI is the operating intelligence layer for building physical AI. It helps engineers create simulations, test ideas, understand failures, and update models much faster.
Instead of treating each phase of the development loop as a separate, manual discipline, Geodesic OI unifies them into one adaptive system. The platform learns from every test, every failure, and every deployment, making the next iteration faster and smarter.
If physical AI gives humanity more capacity to act, AI-native software gives us more capacity to build physical AI.
Start instantly
Launch high-fidelity physics simulations in your browser in minutes, not days. No CUDA, no dependency hell, no hardware. Your environment is ready when you are.
Close the loop
Generate edge cases, stress tests, and failure modes automatically. The system probes weaknesses humans would miss, surfacing vulnerabilities before they reach production.
Connect simulation, testing, failure analysis, and model updates into one intelligent layer. No fragmented tools. No manual handoffs.
Adapt in the world
Ship small adaptive models that keep learning after deployment. Each robot refines its own policy from what just happened on the floor, with no retraining run and no round-trip to the cloud.
Close the reality gap automatically. Geodesic OI measures where simulation diverges from the real world and tunes your simulator until policies trained in it survive contact with reality.
Deploy, observe, and improve in one adaptive loop. Systems get better because they are deployed, not in spite of it.
Geodesic OI powers the applications where physical intelligence matters most, from warehouse floors to construction sites, from manufacturing lines to hazardous industrial environments.
Teams stitch together separate tools for simulation, testing, and training. Real-world data sits unused because labeling and analyzing it is manual. The sim-to-real gap stays wide, so policies that work in simulation fail on contact. Robots ship with frozen models that can only repeat what they were trained on, and the loop ends the moment they ship.
One adaptive layer connects simulation, testing, and deployment. The platform measures the sim-to-real gap and tunes the simulator until training transfers. Every failure on the floor becomes signal for the next iteration. Robots ship with small adaptive models that keep improving where they're deployed.
Adaptive physical intelligence is not only about the robot in the world. It is about how fast we can build that robot, deploy it, and make it better because it was deployed.