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

Frontier models for embodied AI need more than static benchmarks and internet-scale text. They need worlds: structured environments where agents can perceive, plan, act, fail, recover, and improve. Games, 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 taskable environments, collect trajectories, evaluate model behavior, and close the gap between benchmark performance and real-world capability.

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.