CCAID

Geometry-aware generation

CAID Technologies

AI infrastructure for teams that need generated media, CAD, simulation, and physical-world design data to stay editable, inspectable, and consistent.

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Agentic CAD workflows

Design agents that reason over sketches, feature trees, named parameters, constraints, and manufacturability signals.

Geometry-to-reality feedback

Simulation and robot behavior can point back to the CAD parameter that caused the mismatch.

Engineering drawing intelligence

Annotation and validation tools for dimensions, tolerances, DFM review, and design documentation.

Physically grounded media

Video and visual generation pipelines that begin from structured assets instead of one-off pixels.

Structure first

The same design state can feed CAD, simulation, agents, and media.

CAD

Parametric modeling, feature trees, and geometry services.

Agents

Workspaces where models operate on design state, not just chat logs.

Video

Generated clips as evidence, previews, demos, and synthetic data.

Customer fit

Built for teams where generated visuals have to survive contact with real constraints.

Robotics and automation

Find the geometry, mass, encoder, or friction assumptions that make real machines drift from simulation.

Manufacturing teams

Speed up review of CAD, drawings, constraints, and DFM handoffs before parts hit the shop floor.

Hardware companies

Move faster from concept to editable model, validated design package, and convincing product evidence.

Studios and media teams

Generate previews, product shots, synthetic footage, and scene assets with better spatial continuity.

Public work

An open stack for geometry-aware intelligence.

1

OpenCAD for modular, service-oriented CAD infrastructure.

2

Studio for agentic design and visual engineering workflows.

3

SimCorrect for closing the sim-to-real gap through structured patches.

4

CAD-Annotator for drawing review, dimensions, tolerances, and DFM signals.