The Autonomous Platform for Systems Engineering
VectorOWL connects your engineering tools into a living digital thread. It drafts formal requirements, synthesizes safety assessments, reasons about architecture, propagates change impact, and manages verification evidence. Engineers review and approve. No custom build required.
U.S. Provisional Patent Application No. 64/073,689 — Autonomous Requirements Traceability and Engineering Synchronization System. Patent Pending.
The problem
Requirements fail long before integration
Written in isolation
Requirements drafted without the model produce mismatches with architecture and signals that only surface during test.
No traceability
There is no clear line from requirement to architecture, test, or evidence. Change impact is invisible until it is too late.
Validated too late
By the time simulation proves a requirement was wrong, months of design work are already committed and expensive to reverse.
The solution
One platform. The full engineering lifecycle.
Requirements Engineering
AI reads your functions, signals, and spec documents and writes structured requirements in EARS format, grounded in the actual model, not written from scratch.
See step 5 →Architecture Traceability
Every requirement links bidirectionally to the component, signal, or spec section behind it. Coverage gaps and orphaned items surface automatically as the model grows.
See step 6 →Pre-Review Validation
Quality checks, simulation comparison, and anchor enforcement catch broken constraints and missing evidence before anything reaches a review board or test campaign.
See step 7 →Change Impact Analysis
When architecture or interface definitions change, VectorOWL identifies every downstream requirement that needs review before the change propagates. No manual triage required.
Learn more →Verification Management
Plan test campaigns from the requirement set, track method coverage (analysis, inspection, test, demonstration), and accumulate evidence directly against each requirement.
Explore MBSE →Multi-Tool Integration
Connect CATIA, Cameo, DOORS, JAMA, MATLAB, and Ansys through the Model Context Protocol. Your tool ecosystem stays intact. VectorOWL adds the intelligence layer on top.
View integrations →Safety Assessment Generation
VectorOWL reasons over failure modes, propagation paths, and mitigation coverage to draft hazard analyses, fault trees, and FMEA entries from your model graph. Engineers review before they become program artifacts.
Learn more →Architecture Reasoning
Ask architectural questions in natural language and receive answers grounded in your actual model. VectorOWL evaluates design decisions, surfaces constraint violations, and explains the rationale behind derived allocations and interface definitions.
Learn more →How it works
From engineering data to closed-loop verification
Connect your engineering data
Bring in SysML exports, DBC signal files, DOORS exports, or spec PDFs via MCP. VectorOWL extracts functions, signals, interfaces, and constraints automatically.
Generate, trace, and analyze impact
AI drafts EARS-format requirements grounded in your model. Every link is bidirectional. When architecture changes, affected requirements surface immediately.
Validate and track to closure
Anchor constraints and quality checks catch problems before review. Verification methods and evidence accumulate against each requirement until the program closes.
Framework
VectorOWL Architecture
┌─────────────────────────────────────────────────────────────┐
│ CAD / CAE / PLM / MBSE & Req. Mgmt Tools │
│ (CATIA, Ansys, MATLAB, Cameo MBSE, DOORS, JAMA, custom) │
└──────────────────────┬──────────────────────────────────────┘
│ Model Context Protocol
▼
┌─────────────────────────────────────────────────────────────┐
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
│ │ Ontology │ │ Vector │ │ Anchor │ │
│ │ Layer │ │ Layer │ │ Layer │ │
│ │ OWL / RDF │ │ HNSW / Faiss│ │ SMT / Rules│ │
│ │ SPARQL │ │ Embeddings │ │ Constraints│ │
│ └─────────────┘ └─────────────┘ └─────────────┘ │
│ \ │ / │
│ \ │ / │
│ ▼ ▼ ▼ │
│ ┌─────────────────────────────┐ │
│ │ Hybrid Reasoning │ │
│ │ α · Symbolic + (1−α) · │ │
│ │ Vector Similarity │ │
│ └─────────────────────────────┘ │
│ │ │
│ ▼ │
│ ┌─────────────────────────────┐ │
│ │ IdentityRegistry + DAG │ │
│ │ ContextUpdate Events │ │
│ └─────────────────────────────┘ │
└─────────────────────────┬───────────────────────────────────┘
│ Model Context Protocol
▼
┌─────────────────────────────────────────────────────────────┐
│ AI Tools (Claude, Cursor, Copilot, agents) │
└─────────────────────────────────────────────────────────────┘
The VectorOWL repository is currently private while we prepare the public release. You can get early access today by becoming a GitHub Sponsor. Sponsors receive repo access, priority support, and direct input on the roadmap.
Use cases
Built for safety-critical domains
Aerospace
Trace airworthiness requirements from FAR Part 25 through system architecture to verification records. When a design change touches a safety-critical function, anchors block progression until affected verification items are resolved.
Automotive
Generate ISO 26262 and ISO/SAE 21434 requirements directly from DBC signal databases and ARXML component definitions. Every timing constraint, fault tolerance limit, and cybersecurity objective links back to the signal that drives it.
Infrastructure
Derive operational requirements from system dependency graphs and compliance specs. When an upstream constraint changes, VectorOWL identifies every downstream requirement that needs review before the change propagates.
Pricing
Scale from prototype to production
Get early access
Start building with VectorOWL
Join the early access program. We'll reach out within 24 hours with next steps.