Connect Capella to Your AI Ecosystem
AI for Capella enables LLMs and AI agents to securely interact with Capella through MCP and APIs.
It supports the Model-Based Systems Engineering (MBSE) lifecycle while ensuring engineers remain fully in control of every decision.
Why AI for Capella?
Integrated
Seamlessly connect Capella to your
preferred LLMs and AI agents.
Controlled
Keep engineers in control through secure,
explicit, and traceable AI interactions.
Enterprise-ready
Deploy a supported and configurable
solution built for industrial MBSE.
Capella as an Agent-Ready Platform
Depending on the permissions granted, AI for Capella enables AI agents to assist engineers across the entire
modeling workflow while every action remains explicit, traceable, and under human control.
Discover
Find Capella projects, models, and diagrams available to AI agents.
Understand
Explore architectures, model elements, interfaces, dependencies, and engineering context.
Analyze
Evaluate impacts, identify dependencies, and assess architecture changes before implementation.
Edit
Create and update model elements, relationships, and diagrams through controlled AI-assisted operations.
Document
Generate, enrich, and maintain model documentation while preserving traceability.
Verify
Refresh, inspect, arrange, and export diagrams to support model review and validation.
Artificial Intelligence has the potential to transform the way engineers interact with system architecture models. But in industrial MBSE, AI must support engineering work without compromising rigor, traceability, or human responsibility. AI assists, engineers decide.
Combined with the Capella tool and the Arcadia method, AI for Capella enables AI agents to operate within a structured engineering context where every interaction remains explicit, controlled, and traceable.
Rather than embedding a specific AI assistant, AI for Capella makes Capella an agent-ready platform that connects to the LLMs and Enterprise AI ecosystem chosen by each organization while preserving governance, traceability, and engineering quality.
This approach gives organizations the freedom to adopt the AI technologies that best fit their needs today, while remaining ready to integrate future AI models, agents, and platforms as they evolve.
”At Obeo, we believe AI creates value for engineers when it understands the model and respects its rules. AI for Capella is built on that conviction.”
Cédric Brun
CEO, Obeo