Turn engineering data into training data.
Omniform turns complex 3D engineering data into lightweight, structured, physics-ready assets so robotics teams can build simulation worlds faster.
Program Member
One pipeline for simulation readiness
Omniform adapts to your input and output workflows, eliminating the need to rebuild every asset by hand. Formats and optimization targets are customized to your specific simulation requirements.
Source Data
- CAD Assemblies
- Scans & Point Clouds
- Mesh Assets
- URDF / MJCF
- Robot Models
Omniform Processing
- Geometry Repair
- Task-Aware Simplification
- LOD Generation
- Collision Preparation
- Hierarchy Cleanup
Simulation Ready
- Isaac Sim / Omniverse
- MuJoCo
- Unreal Engine
- Unity
- USD, GLB/GLTF, FBX
Built for utility, not just appearance
Generic optimization tools evaluate whether an asset still looks good. Omniform evaluates which geometry, hierarchy, and metadata must remain intact to preserve the asset's utility for your downstream simulation task.
Less manual preparation
Simulation engineers and technical artists spend less time repairing topology, cleaning hierarchy, or generating collision proxies, accelerating the first mile of the sim-to-real workflow.
Lower scene complexity
By removing dense scan noise, internal geometry, and excessive subdivisions, we dramatically reduce memory costs and improve simulation throughput.
Task-critical preservation
We preserve what matters. Contact surfaces, graspable regions, functional silhouettes, articulation zones, and component structures are maintained to ensure reliable physics and sensor behavior.
Scalable infrastructure for teams
Robotics Simulation Teams
Prepare complex robot models, tooling, and operational environments for reliable training, testing, and validation inside your physics engine.
Simulation Studios
Process asset-heavy enterprise projects without having to scale manual preparation linearly with the scope of the project.
Synthetic Data Generation
Build structured, lightweight scenes that support robust semantic labeling, domain randomization, and high-volume scenario generation.
Industrial Digital Twins
Move dense engineering and manufacturing data into real-time environments smoothly with significantly less rework.
Bridging the gap to simulation
We are building the 3D data infrastructure layer for Physical AI.
By bridging the gap between raw engineering data and optimized simulation environments, we enable teams to stop fixing assets and start focusing on training, testing, and deploying.
The initial conversation is simple: tell us about your target simulator and the bottleneck in your current pipeline.
Get in touch
General inquiries & demo requests:
contact@omniform.systemsHeadquarters:
D Block Workspace @ Radio City
Tbilisi, Georgia