TESSA: SysML Modeling Assistant for MBSE

Turn engineering knowledge into structured, reviewable system models faster.

TESSA is an AI assistant for Model-Based Systems Engineering (MBSE) that helps systems engineers transform requirements, architecture descriptions, and existing model context into reviewable SysML model content - directly inside the modeling environments they already use.

TESSA proposes model elements, relationships, and diagram content, and analyzes existing models for gaps and inconsistencies. Engineers remain in control: every proposed model change can be inspected, modified, accepted, or rejected according to project rules and engineering intent.

Reduce manual modeling effort

Engineering knowledge often exists before the model does - in requirements, architecture documents, workshop results, interface definitions, and existing model fragments.

Transferring this information manually into an MBSE tool takes specialist time and can introduce inconsistencies between source information and the system model.

TESSA helps engineering teams turn that existing context into structured model content while keeping the engineer responsible for the architecture.

What you can do with TESSA

• Create initial SysML model structures from requirements and natural-language architecture descriptions.
• Add model elements and relationships to existing models.
• Generate diagram content such as block definition, activity, and use case structures, depending on the connected modeling environment.
• Analyze models for missing structures, inconsistencies, and improvement opportunities.
• Apply project-specific modeling conventions and reusable templates.
• Keep generated model content editable and subject to engineering review.
  
  

How it works

1. Select the relevant model scope and provide engineering context such as requirements or architecture descriptions.
2. Ask TESSA to prepare model elements, relationships, or diagram content for a defined modeling task.
3. Review the proposed content inside the connected MBSE environment.
4. Modify, accept, or reject the proposal.
5. Use TESSA to analyze existing model content for gaps and inconsistencies.

Works with your existing MBSE environment

TESSA separates engineering context from the user interface of the connected modeling tool. Its engineering data layer provides the assistant with relevant model elements, relationships, and project structures.

This enables comparable AI-assisted engineering workflows across different MBSE environments without requiring teams to move their work into a separate modeling platform.

TESSA can be integrated with established SysML modeling environments, including:

• CATIA Magic / Cameo Systems Modeler
• Enterprise Architect
• PTC Modeler
• API-based engineering tool integrations

Built for engineering teams

TESSA supports:

• Systems engineers creating and extending SysML models
• System architects translating requirements into architecture structures
• MBSE specialists defining modeling methods and reusable patterns
• Model reviewers improving model consistency and completeness
• Engineering organizations scaling MBSE practices across teams and projects

Typical applications include automotive, aerospace, rail, industrial automation, mechanical and plant engineering, medical devices, energy, and other industries developing complex technical systems.

Deployment and technical qualification

TESSA requires a supported modeling environment, a compatible product version, access to the relevant model repository, and an agreed modeling scope.

Before activation, technical qualification covers the required integration and data-processing configuration, including hosting and processing location, repository access, user permissions, write operations, tenant separation, data retention, and permitted external model services.

Request a technical demo

Use Contact me to request a demonstration based on a representative SysML model or engineering task.