Quantum Fabric provides a cross‑enterprise data coordination platform that lets independent organizations share supply‑chain information while retaining full control over their data.
Funding
Funding not disclosed
Founders
Product
Problem
Supply chain visibility and traceability are fragmented because enterprise systems (ERP, EDI, spreadsheets) operate within each company’s boundaries, preventing manufacturers, brands, and distributors from seeing upstream or downstream data in real time. Existing blockchain‑based solutions add consensus overhead, limit the number of participants, and cannot enforce fine‑grained privacy, leaving organizations unable to share information while retaining sovereignty.
Solution
Quantum Fabric provides a cross‑enterprise data coordination platform that enables independent organizations to share supply‑chain information without a central ledger or consensus protocol. An emergent network of peer nodes stores relationships in a graph database, allowing batch traceability and inventory visibility across any number of companies in seconds. Precision permissions enforce privacy at the graph‑traversal and field level, so each participant controls exactly what data is shared, with whom, and at what granularity. The platform integrates with existing ERP, WMS, MES, and analytics systems through adapters that use supervised machine learning for entity resolution and schema drift detection, requiring no changes to source systems. Cryptographic signatures provide provenance for every record, delivering a verifiable data trail without the replication overhead of blockchain.
Target Audience
Primary customers are manufacturers, brands, distributors, and suppliers in regulated industries such as food, pharma, automotive, and industrial goods that require cross‑enterprise visibility and compliance with traceability regulations.
Features
- Emergent peer network with no central ledger or consensus, scaling to thousands of participants
- Graph‑based permission model that enforces privacy through traversal depth and field‑level controls
- End‑to‑end batch traceability and real‑time inventory visibility across multiple organizations
- Multi‑input transformation tracking to capture lineage when several input batches combine into a single output
- Adapter framework for seamless integration with ERP, WMS, MES, data warehouses, and custom REST/SQL systems
- Machine‑learning‑driven entity resolution, semantic normalization, and automatic schema‑drift detection
- Cryptographic signing of each record to guarantee provenance without blockchain overhead