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Autonomous · AI-native · No build required

Autonomous Systems Engineering Platform

One ontology-grounded graph that drafts requirements, synthesizes complex safety assessments, reasons about architecture, propagates change impact, manages verification evidence, and synchronizes your engineering toolchain. Engineers review and approve. One runtime. Governed by default.

U.S. Provisional Patent Application No. 64/073,689 — Autonomous Requirements Traceability and Engineering Synchronization System. Patent Pending.

vectormbe — architecture
+-------------------------------------------------------------+
|           CAD / CAE / PLM / MBSE & Req. Mgmt Tools          |
|   (CATIA, Ansys, MATLAB, Cameo MBSE, DOORS, JAMA, custom)   |
+-----------+-----------------------------+-------------------+
            | Model Context Protocol      | Direct schema
            | (live tool calls)           | mapping (import)
            v                             v
+-------------------------------------------------------------+
|                  Agentic Entity Generation                  |
|      +-------------+  +-------------+  +-------------+      |
|      | Requirement |  |   Function  |  |  Component  |      |
|      |    Agents   |  |    Agents   |  |    Agents   |      |
|      |  decompose  |  |   allocate  |  |  synthesize |      |
|      +------+------+  +------+------+  +------+------+      |
|             |                |                |             |
|             v                v                v             |
|           +-------------------------------------+           |
|           |    Ontology-Grounded Entity Graph   |           |
|           |           typed, traceable          |           |
|           +-------------------------------------+           |
|                              |                              |
|                              v                              |
|               +-----------------------------+               |
|               |  Continuous Verification +  |               |
|               |  IdentityRegistry / Context |               |
|               +-----------------------------+               |
+-------------------------+-----------------------------------+
                          | Model Context Protocol
                          v
+-------------------------------------------------------------+
|         AI Tools  (Claude, Cursor, Copilot, agents)         |
+-------------------------------------------------------------+

Agentic Entity Generation

Requirement, function, and component agents draft your model automatically — every entity typed against the ontology, not guessed.

Continuous Verification

Each entity is gate-checked against the ontology and formal constraints before it enters the graph. Bad data never lands.

Dual Import

Bring your CAD/CAE/PLM/MBSE tools in two ways — live over the Model Context Protocol, or by direct schema mapping of exports and spec PDFs.

The VectorMBE 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.

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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, VectorMBE 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. VectorMBE adds the intelligence layer on top.

View integrations →

Safety Assessment Generation

VectorMBE 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. VectorMBE 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

1

Connect your engineering data

Bring in SysML exports, DBC signal files, DOORS exports, or spec PDFs via MCP. VectorMBE extracts functions, signals, interfaces, and constraints automatically.

2

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.

3

Validate and track to closure

Formal constraints and quality checks catch problems before review. Verification methods and evidence accumulate against each requirement until the program closes.

Use cases

From rapid prototype to safety case

Rapid systems-model prototyping

Stand up a working systems model in an afternoon. Import the specs, ICDs, and drawings you already have, let VectorMBE draft the requirements and architecture links, and get a traceable model you can interrogate the same day. Explore three architectures in the time a hand-built model takes to start, and keep the one that survives.

Aerospace

Trace airworthiness requirements from FAR Part 25 through system architecture to verification records. When a design change touches a safety-critical function, CI gates 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, VectorMBE identifies every downstream requirement that needs review before the change propagates.

Pricing

Scale from prototype to production

Individual

Hosted web instance. Personal use.

$39/mo

Sponsor Coming Soon

Hosted web instance, full runtime access, and community support.

$199/mo

Team Coming Soon

Cloud or private deploy. Priority support.

$399/mo

Enterprise

Custom SLA. On-prem. Dedicated engineer.

Contact us

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