Antim Labs creates simulation environments, datasets, and evaluation systems for the next generation of intelligent machines.

There is no internet scale data for embodied intelligence. Depending on the real world is futile as many are beginning to realize. All roads point to simulated worlds: structured sim-ready environments where agents can perceive, plan, act, fail, recover, and improve. Simulations and digital twins give us a way to generate that experience at scale.

Our work spans robotics simulation, interactive benchmarks, and world generation systems. We build tools that help teams create and evaluate physical AI systems at scale.

Gizmo, our world creation layer for robotics simulation, turns text, images, floorplans, and task descriptions into sim-ready scenes with structure, articulation, and physical meaning. It is part of our broader mission: making physical experience scalable for machines.

We believe the next leap in AI will come from models learning inside worlds, not just from text about them. Antim Labs is building the infrastructure for that future.