AI-Enabled Model-based Systems Engineering (MBSE)
Enola applies machine learning and AI-assisted analysis to the most time-intensive stages of MBSE - accelerating model maturity and ensuring critical engineering knowledge stays with the program.
Approach
Intelligence meets engineering
Enola integrates into your existing environment - no proprietary platform required. We apply commercial or locally-deployed, air-gapped models to automate the stages where engineering teams lose the most time in data-sensitive programmes.
Document-to-model conversion
Requirements cross-referencing
Institutional knowledge capture
AI model assistance
SysML V2 CI/CD
How it WOrk
From Artefacts to Structured MBSE - In Three Steps
INPUT
Start with the engineering outputs you already have
Bring us the artifacts your program already produces - models, PDFs, Word files, spreadsheets, XML, JSON, and other structured engineering outputs. Enola starts with the materials your teams already use and prepares them for AI-assisted analysis, model population, and review without forcing a new proprietary workflow.
UNDERSTAND
AI-assisted analysis finds what linear review misses
AI-assisted analysis reviews requirements, model diagrams, and specifications together, cross-referencing them to surface gaps, conflicts, and architectural concerns that sequential review may miss. Multimodal workflows allow SysML diagrams and related engineering artifacts to be analyzed directly as part of the review process.
EXECUTE
Accelerate model maturity without adding program overhead
Analysis outputs feed directly into your engineers’ hands, from structured SysML model elements to reports, spreadsheets, and other structured output formats. Teams review and validate AI-assisted outputs rather than constructing them from scratch, reducing manual model population and requirements analysis from weeks to days.
Ready to Deploy Model-Based Systems Engineering?
The only Certified Advanced Training Partner for Dassault Systèmes (3DS) — delivering SysML, CATIA Magic, and MBSE expertise to defense, aerospace, and commercial organizations