Scope the decision
Define the engineering question, available inputs and acceptance criteria.
Engineering intelligence · Physical evidence
Better engineering.From first modelto physical proof.
From CATIA-connected AI agents to CAD-native topology optimization, production-line vision, multiphysics simulation and extreme-environment testing. Five capabilities connect the design decision to physical evidence.
CAD / CAE / INSPECTION / VALIDATION
MODEL → EVIDENCECONCEPT STUDY
Illustrative schematic. Not a simulation result or manufactured component.
AI agents & CAD automationTopology optimizationVision inspectionFEA simulationPhysical validation
From the technical profile
Engineering you can evaluate.
Specific capabilities. Reported measurements. Follow each figure to its source context and application.
Topology optimization
≥10×3D optimization efficiency
Profile-reported computational efficiency improvement for complex 3D structures.
Technical details ↗Vision inspection
15 m/sInspection speed, up to
Reported for the nonwoven production-line inspection case.
Technical details ↗FEA simulation
15Networked CAE workstations
High-performance computational platform listed in the profile.
Technical details ↗Physical validation
1000 kNUniversal materials testing
Tension, compression, bending and shear; extended stroke accommodates environmental testing.
Technical details ↗Capabilities
One engineering question. The right capability.
Explore the technology, source-reported performance, reference configurations and application scenarios.
DESIGN INTELLIGENCE
AI agents & CAD automation
Custom AI agents connect CATIA parametric design, RAG knowledge bases and MCP/API tools to real engineering workflows, with private or edge deployment and ongoing support.
Delivered agent applications · Custom integration↗
STRUCTURAL DESIGNTopology optimization
Optimize CAD-linked feature shape, position and orientation, with isogeometric analysis for stiffened plates and shells. The profile reports ≥90% fewer design variables and ≥10× computational efficiency for complex 3D optimization.
Feature-driven design · CAD-connected geometry↗
MANUFACTURING QUALITYVision inspection
Custom optics, mechanical integration, algorithms and software for production-line inspection. The nonwoven case reports up to 15 m/s, a minimum defect area of 0.25 mm² and a missed-defect rate below 0.1%.
Production-line cases reported↗
ENGINEERING ANALYSISFEA simulation
Static, dynamic, nonlinear and multiphysics analysis, including fatigue, crack growth, thermal stress and fluid–structure interaction. The profile lists 15 networked CAE workstations and six simulation software platforms.
Structural, failure & multiphysics analysis↗
BUILD & TESTPhysical validation
Prototype machining and static, dynamic and extreme-environment testing through a university-supported laboratory platform, including two five-axis machining centers, 1000 kN materials testing and a listed −80 to 1600°C component chamber.
University-supported laboratory platform↗
Explore how it works
Principle & workflow
From engineering intent to editable CAD
InputDefine the task
Start with a fixture or repeatable part family. Supply the design rules, parameter ranges and reference knowledge that define acceptable output.
ProcessConnect tools
The agent retrieves relevant knowledge and uses authorized tools to carry out defined engineering steps. The integration connects the model with the actual CAD or business system.
OutputReview the design
Review native geometry, parameter values and rule compliance. Feed corrections back into the workflow before extending it to more designs.
The way we work
Start with a defined problem. Agree on the evidence.
Our approach ↗Build the evaluation
Select a representative workflow, component or material sample.
Review the evidence
Compare output quality, limitations and engineering effort.
Plan the next step
Choose integration, a further study or a physical validation program.
Technical notes
Better questions.
Better evaluations.
The next step