Investors · partners
Why Trinix?
When Data Becomes the Bottleneck
Modern AI systems require vast amounts of diverse and high-fidelity data — yet collecting real-world 3D data is slow, costly, and often incomplete.
Manual CAD modeling doesn’t scale. Existing real-to-simulation methods often lack the diversity and control required for high-fidelity training — mainly due to cost and time limitations.
Scaling 3D Creation for the Age of Industrial AI
Key Advantages
Scalability
Rapid generation across object categories
Cost-efficiency
Jitter removal and parts segmentation are required
Hyper-realism
Physically accurate rendering and formats
Multi-modal output
CAD + Image + Video + Articulation formats
(STEP, GLB, STL, OBJ, MJCF, URDF)
Plug-and-play
with MuJoCo, Omniverse Isaac Sim, Unreal
Core Capabilities
Image to CAD with precise editing for jitter-free, segmented part generation
Smartphone CAD Generation
Physics Simulation: Articulated Objects
Drawer/door/fridge simulation with
step-wise control logic
Dataset Generation for logistics, manipulation, segmentation
Environment randomization and physics-based item handling
Export-ready for NVIDIA Omniverse, MuJoCo, Unreal, Solidworks
3D-based deformation + defect image generation
