Neural Fabric · MCP

Neural Fabric

Every AI tool you use is isolated from the others. Neural Fabric is the governed knowledge graph that connects them. Connections are derived mathematically from your data. Not mapped by engineers, not guessed by models. Six MCP tools. Any agent. Minutes, not months.

01 | Architecture

Who connects to what

Any MCP-compatible AI connects to one Neural Fabric server. All agents read and write to the same knowledge graph: Claude, ChatGPT, Gemini, or any open-source model.

⊞
QORBIT™ Neural Fabric Sign out
Search entities◀ Hide
Find by name, ID, or type...
⊕ Add Document
Entities: 72
Entity Types (16)All None
✕
Sales Order
SO-03242607 — Clearview Commercial Lighting
DOC SO-03242607_Clearview_Co…
Open
May 25, 2026 · 4.7 KB · application/pdf
SHA-256 3b1099ee
● Created 25 May 2026
Last updated 28 May 2026
View history
Business Properties:
CustomerClearview Commercial Lighting
Order date2026-04-02
Shipment2026-06-01
Amount510105
Quote refQT-03242607
Customer POCCL-2026-R117
▸ Show all properties (15)
Direct (10)
Related Entities (11)
Find Related

No stored relationships. No LLM inference. No embedding API.

Two entities that share a reference are connected. Not because someone mapped them. Because the math measured it. A customer ID, a case number, a part code, a citation. Any shared identifier, in any domain, across any document type.

Add an entity. Every connection appears. Delete it. Every connection vanishes. Re-add it. They return correctly. There is no edge table to maintain, no graph to curate, no relationships to administer.

02  |  GOVERNANCE

Every write is governed. Every edge explains itself.

The Neural Fabric doesn't accept data blindly. Every write is validated against the live graph before it's persisted. Writes that would compromise graph stability are rejected. The system gets quieter, not wronger.

Every accepted write carries a cryptographic provenance chain: actor, timestamp, operation, and graph state at write time. Each entry is hash-linked to the one before it. Tamper detection runs on every read. Built for regulated industries where 'trust me' isn't compliance.

Click any connection and see exactly which properties caused it. Shared identifier. Matching reference. The forensics panel decomposes every connection to the feature level. No other system explains why two entities are connected, and proves it hasn't been altered since.

⊞
QORBIT™ Neural Fabric Sign out
Search entities◀ Hide
Find by name, ID, or type...
⊕ Add Document
Entities: 72
Entity Types (16)All None
✕
PROVENANCE
Lumina Arc Manufacturing, Inc.
Organization · org-880247163 📄
direct reference
Northstar Aluminum Housings
Vendor · vendor-northstar-housings
Direct reference to organization_org-880247163.
Both reference organization_org-880247163.
Added Jun 10, 2026 · Current · ✓ Verified
HISTORY
Lumina Arc Manufacturing, Inc.
Northstar Aluminum Housings
03  |  INDUSTRIES

Where this deploys.

Every industry has the same problem: multiple systems with entities that reference each other but aren't connected.

Manufacturing
Orders, materials, quality
Financial Services
Transactions, KYC, compliance
Healthcare
Patients, procedures, claims
Legal
Cases, documents, precedents
Insurance
Policies, claims, providers
Construction
Projects, permits, inspections
Supply Chain
Shipments, carriers, customs
Accounting
Invoices, reconciliation, audit
Government
Contracts, clearances, budgets
Pharmaceuticals
Trials, batches, regulatory
Energy
Assets, maintenance, compliance
Professional Services
Projects, clients, deliverables
04  |  DIFFERENTIATION

What no one else has built.

Graph derives itself from entity math.
Alternatives require engineers to build ontology, or rely on LLM assertion.
Spectral stability enforced on every write.
Nobody else validates graph physics at write time.
Zero external embedding API cost.
Every alternative pays per-ingestion embedding API calls.
Per-feature edge provenance.
Nothing else on the market explains why two entities are connected.
Hash-linked provenance with tamper detection.
Cryptographic audit trails don't exist anywhere else in this category.
Six governed MCP tools. Self-serve. Minutes.
The industry standard is months of integration or SDK wiring per agent.
05  |  TOOLS

Six tools. Every agent.

Connect any MCP client and these six tools appear automatically. Same tools in Claude, ChatGPT, Cursor, Claude Code, or any MCP-compatible agent.

fabric_add
Add entities and documents. Upload a PDF. The graph extracts entities, discovers connections, and governs every write.
fabric_search
Search by name, type, or natural language. Band-code narrowing reduces thousands of entities to a ranked shortlist in milliseconds.
fabric_list
List and filter entities across your graph. Get counts, types, and metadata without loading the full graph.
fabric_graph
Explore entity neighborhoods and resonance subgraphs. See how entities connect through shared frequency signatures.
fabric_delete
Remove entities cleanly. Tombstone semantics: connections derived from the deleted entity vanish automatically.
fabric_provenance
Inspect the cryptographic audit trail. Hash-linked entries with actor, timestamp, and tamper detection on every read.

The governed knowledge graph for enterprise AI.

Six tools. Every agent. Start in minutes.

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