Build the Machine That Builds the Machine.
An AI-driven engineering loop connecting parts data, custom parts, assembly, boundary conditions, cloud FEM, and evaluation into one continuous system.
- Parts Database
- Custom Parts
- AI Assembly
- Boundary Conditions
- Cloud FEM
- AI Evaluation
From parts database to better engineering decisions
The diagram is the operating model for confBuild: existing parts, generated geometry, AI assembly, boundary conditions, cloud FEM, and AI evaluation working as one optimization loop.
Parts Database
Standard parts, parameters, and material knowledge become the starting point for each new variant.
Custom Parts & AI Assembly
AI creates fitting geometry and assembles it into systems that can be tested.
Boundary Conditions & Cloud FEM
Loads, fixtures, and constraints are translated into scalable simulation runs.
AI Evaluation
Simulation results feed the next geometry, cost, and assembly decision.
The feedback loop becomes a production engineering environment
Controlled parts base
Released parts, parameters, and material data stay traceable.
Scalable simulation
Cloud FEM checks many variants in parallel instead of waiting on manual analysis.
Testable assemblies
AI assembly creates systems that can be checked directly against constraints.
Evaluation with context
Results are not just stored; they shape the next decision.
Manufacturing-ready output
The best variant can move into costing, sourcing, and manufacturing.
Every stage learns from the next iteration
The roadmap expands the feedback loop shown above, from assisted geometry to autonomous research agents.
Start the loopAI Co-Engineer
Natural language creates geometry from database parts, rules, and design goals.
In ProgressGenerative Topology 2.0
Custom parts are optimized with boundary conditions, multi-physics, and feasibility.
In ProgressClosed-Loop CAD/CAE
Cloud FEM and AI evaluation feed new geometry, cost, and assembly decisions.
PlannedAutonomous Engineering
Autonomous research agents design new technologies from the closed feedback loop.
FutureReady to build the engineering loop?
Connect parts database, AI assembly, cloud FEM, and AI evaluation into a system that learns from every iteration.