Vector Stream Systems logoVector Stream Systems
AI-Native MBSE — Early Access Available

One Graph. Every Model. Human or Agent.

VectorOWL is the neuro-symbolic MBSE substrate that unites OWL reasoning and vector retrieval in one governed graph—so engineers, CI, and AI agents reason from the same structure, not parallel truths.

The problem

When systems are tangled, risk is invisible

Cascading failures

One upstream change breaks downstream assumptions—and nobody sees it until integration.

Review bottlenecks

Traceability lives in slide decks and chat logs, not versioned structure engineers can diff.

Black-box decisions

AI agents draft code against stale or missing context—no URI, no log, no traceability.

The solution

One graph. Three layers. Governed by default.

Graph

OWL reasoning gives your system formal, provable structure that survives scale and turnover.

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Vector

Semantic retrieval over simulations, telemetry, and documents—ranked by meaning, not keywords.

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Protocol

Model Context Protocol integration lets AI agents query the same graph humans review—no stale context, no silent drift.

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How it works

From model to deployment in three steps

1

Model in OWL

Assert structure, requirements, and relationships in a versioned ontology your team reviews like code.

2

Query with vectors + logic

Blend symbolic reasoning and semantic retrieval to find similar designs, anomalies, and gaps.

3

Deploy with validation

Consistency checks gate every release. Mismatches flag review—no silent drift into production.

What we do

Requirements-driven engineering, from spec to system

Complex System Modeling

Formal OWL ontologies capture structure, behavior, and interfaces across domains—so your model survives team churn.

Natural Language Generated Requirements

Natural-language graph queries turn unstructured docs, chats, and specs into traceable, versioned requirements linked to your system model.

Spec Driven Design

Requirements drive the architecture. Every change propagates through constraints, impact analysis, and validation gates.

Feedback Driven Engineering

Live topology health and requirement coverage close the loop between design intent and runtime reality.

Built for engineers

Graph DAG queries, natural language, and model-based requirements

Framework

VectorOWL Architecture

vectorowl — architecture
┌─────────────────────────────────────────────────────────────┐
│                    CAD / CAE / PLM Tools                    │
│               (CATIA, Ansys, MATLAB, custom)                │
└──────────────────────┴──────────────────────────────────────┘
                       │ Model Context Protocol
                       ▼
┌─────────────────────────────────────────────────────────────┐
│  ┌─────────────┐  ┌─────────────┐  ┌─────────────┐          │
│  │   Ontology  │  │   Vector    │  │   Protocol  │          │
│  │    Layer    │  │    Layer    │  │    Layer    │          │
│  │  OWL / RDF  │  │    HNSW     │  │  Evaluator  │          │
│  │   OWL/RDF   │  │  Embeddings │  │  Constraints│          │
│  └─────────────┘  └─────────────┘  └─────────────┘          │
│         \                │                /                 │
│          \               │               /                  │
│           ▼              ▼              ▼                   │
│               ┌─────────────────────────────┐               │
│               │ NL Model-Based Requirements │               │
│               │   a * Symbolic + (1-a) *    │               │
│               │      Vector Similarity      │               │
│               └─────────────────────────────┘               │
│                          │                                  │
│                          ▼                                  │
│               ┌─────────────────────────────┐               │
│               │   IdentityRegistry + DAG    │               │
│               │   ContextUpdate Events      │               │
│               └─────────────────────────────┘               │
└─────────────────────────┴───────────────────────────────────┘
                          │ HTTP / stdio
                          ▼
┌─────────────────────────────────────────────────────────────┐
│              MCP Hosts (Claude, Cursor, etc.)               │
└─────────────────────────────────────────────────────────────┘

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 a hosted instance, priority support, and direct input on the roadmap. Source code access requires Enterprise.

Sponsor on GitHub Try live demoView full framework

Use cases

Built for safety-critical domains

Aerospace

Reuse past wing configurations by semantic similarity while validation checks enforce FAA structural margins. No design ships without proof.

Automotive

Embed fleet telemetry into the vector space. Anomalies near known failure modes trigger alerts before failure, not after.

Infrastructure

Model dependencies as a governed graph. When upstream constraints shift, see exactly which nodes and teams are impacted.

Pricing

Scale from prototype to production

Individual

Self-hosted. Full runtime.

$99/mo

Sponsor

Hosted instance. Community support.

$199/mo

Team

Cloud or private deploy. Priority support.

$399/mo

Enterprise

Custom SLA. On-prem. Dedicated engineer.

Contact us

Get early access

Start building with VectorOWL

Join the early access program. We'll reach out within 24 hours with next steps.