Engineering-tool integration
Parametric modeling and design-process automation.
DESIGN INTELLIGENCE Delivered agent applications · Custom integration
Repeat the workflow. Keep the engineering judgment.
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.
Scope a CAD workflow pilot ↗Technical highlights
The capability, in detail.
Reported capabilities and figures from the supplied technical profile, with their application context.
Knowledge and tool access
Retrieval, Function Calling and single- or multi-agent orchestration.
Deployment options
Local enterprise deployment and edge integration, scoped to the data boundary.
End-to-end engineering
Process review → knowledge/tools → orchestration → integration → evaluation and operation.
Source: Technical Capabilities — External Presentation · 2026-08 · pp. 3. Source and scope ↓
Engineering overview
AI agents, CAD automation & enterprise workflows
From process decomposition to deployment, Formivis connects an agent to the knowledge, tools and business systems needed to complete a defined task. The supplied profile describes delivered applications in CAD design automation, fixture design and aerospace structures, combining software agents with equipment-development capabilities.
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.
Delivered application area
AI + CAD design automation
Drive parametric modeling and repeatable design steps in CATIA. Connect fixture-design rules with the team’s structural design and topology-optimization capabilities.
Technical capability
Enterprise agents that use tools
Combine enterprise knowledge retrieval, Function Calling / MCP tools and workflow orchestration to plan tasks and operate authorized business systems.
Technical capability
Document and quality-data workflows
Process documents, generate reports, answer enterprise knowledge questions and analyze inspection or test data. Deliver useful outputs inside the current business process.
From process to operation
| Stage | Engineering work |
|---|---|
| Requirements | Map the business process and define automation boundaries. |
| Knowledge & tools | Connect RAG knowledge bases and MCP / API tools. |
| Agent workflow | Build single-agent or multi-agent orchestration. |
| Integration & deployment | Connect business systems; configure private, local or edge deployment. |
| Evaluation & support | Evaluate output quality; iterate and maintain the application. |
Applications & value
Where the engineering matters.
Profile-reported application
Fixture and tooling design
Automate repetitive parameter changes and defined design steps while engineers own the rules and release review.
Application context
Engineering knowledge and reports
Turn reusable technical knowledge and inspection/test outputs into searchable answers and repeatable reports.
Who it's for
AI agents, CAD automation & enterprise workflows
Engineering teams automating fixture design and repeatable CATIA tasks, and enterprises connecting technical knowledge with document, report and inspection-data workflows.
Bring the application, representative inputs and acceptance criteria. We will connect the relevant technology and platform to a defined engineering deliverable.
What we start with
- A non-confidential description of the repeated task
- CAD platform, version and licensing constraints
- Representative inputs and engineering rules
What the scope can include
- A custom agent application and connected engineering workflow
- Private/local deployment, edge deployment or API integration as scoped
- Business-system integration, evaluation, iteration and maintenance
Before we begin
Common questions
What has already been implemented?
The supplied profile describes agent applications for CATIA design automation, fixture design and aerospace structures. It also lists RAG, Function Calling / MCP, multi-agent workflows and private deployment capabilities.
Can the system run within our enterprise?
Private and local deployment are offered. The agreed architecture must identify model hosting, knowledge storage, tool connections and any external dependencies to meet your data boundary.
Is domain-model training already released?
The profile identifies Qwen / Llama LoRA domain tuning and enterprise-model training as work in progress. They require a separate development scope.
The next step