A live platform, not a roadmap
Quantum Fabric is built, deployed, and running on production infrastructure — not a concept deck or a prototype. It's a system you can log into and use.
Cross-Enterprise Inventory Visibility
See inventory positions across every entity in your supply chain — suppliers, manufacturers, distributors, retailers — in a single view. Filter by channel, product, location, or date. Graph view shows network topology with inventory value at each node. List view provides granular SKU-level detail.
Batch Traceability
Trace any batch from origin to destination across organizational boundaries. The system discovers upstream and downstream relationships in real time by querying autonomous entity peers — assembling the complete picture that no single company holds.
Multi-Input Transformation Tracking
Track manufacturing processes where multiple input batches from independent companies combine into a single output. Organic Wheat Grain from one supplier plus Dairy Butter from another become Premium Wheat Bread at a third company — with complete lineage through the transformation. This is where blockchain systems break. Graph handles it naturally.
Chain of Custody
Complete custody timeline showing every handoff, transformation, and shipment event. Visual custody flow from origin through manufacturing, distribution, and retail — with status tracking at every step.
Network Partner Management
Manage channel membership, visibility settings, and partner relationships. Each partner's upstream/downstream visibility depth and data visibility level are independently configurable per channel.
Enterprise Data Integration That Learns and Adapts
Connecting to existing enterprise systems is designed around supervised machine learning for entity resolution and semantic normalization, with deterministic execution at runtime.
- •Multi-timescale ingestion — Each data type — transactions, inventory, master data, schema — is ingested at its natural frequency with independent failure isolation.
- •Schema drift detection — Source system changes are detected automatically. Affected fields are quarantined while everything else continues to flow.
- •Provenance at every step — Every record is cryptographically signed, creating a verifiable chain from source system to graph — without blockchain overhead.
- •Your systems stay untouched — No agents installed, no schema modifications, no ERP customizations required.
The ground truth layer for enterprise operations
AI agents and analytical platforms are only as reliable as the structured data beneath them. If the data layer has gaps, stale records, or unverified provenance, every decision built on top inherits those problems.
Quantum Fabric provides the structured data ground truth for multi-party supply chains — not by centralizing data, which no enterprise will accept, but by federating it with provenance guarantees, sovereignty enforcement, and confidence scoring at every boundary.
Structured data itself has a hierarchy: a real-time shipment event, a daily inventory snapshot, and a master data change carry different reliability characteristics. Quantum Fabric is the only platform that treats this hierarchy as a first-class architectural concern rather than flattening everything into a single pipeline.
Works with your stack
Quantum Fabric's adapter framework connects to the systems your organization already runs — no rip-and-replace required.
Enterprise resource planning systems — the transactional backbone of inventory, procurement, and order management.
Data warehouses and lakehouse platforms where business intelligence and AI workloads run.
MES, SCADA, and PLC historians — shop floor data at machine-level granularity.
WMS platforms tracking receiving, putaway, picking, and shipment operations.
Any REST or SQL-accessible system connects through the adapter plugin framework.
Why it works when blockchain didn't
| Blockchain (Hyperledger Fabric) | Quantum Fabric™ | |
|---|---|---|
| Scaling | ~150 peers before performance degrades | No practical peer limit — adding a peer is adding a node, not replicating state |
| Privacy | All-or-nothing channel visibility | Two-axis: graph-traversal depth + field-level controls per partner |
| Multi-channel | Separate ledger per channel, data duplication for shared entities | Single graph, overlapping channels, no duplication |
| Provenance | Consensus validates that a transaction occurred — not that the data inside it is accurate or traceable to its source | Cryptographic signatures on individual records with verified provenance from source system through every transformation |