Platform

One network. Every role.

Manufacturers, suppliers, trade and logistics partners — operating on a single intelligence layer with full traceability and predictive analytics.

Inside the product

Every signal, one workspace.

Supplier benchmarking, yield correlation, and ESG scorecards in a single workspace built for procurement, engineering, and sustainability teams.

  • Supplier benchmarking with quality, capacity, ESG & risk scores
  • Yield correlation across lots, recipes, and process windows
  • ESG scorecards with CBAM and SBTi-ready exports
  • AI recommendation cards with quantified ROI per change
supplier benchmark
v2.4
Avg yield
94.2%+3.7pp
Suppliers active
186+12 wk
Scope 3 / kWh
0.41−6.2%
Yield correlation · resistivity vs cell efficiency
Solar — M10 mono
r² = 0.87
SupplierQualityESGYield Δ
Asahi Polysilicon
96
88
+2.4pp
Hangzhou Wafer Co.
91
72
+1.1pp
Kyoto Specialty Gas
94
91
+0.8pp
Role 01

Manufacturer

Procurement intelligence and material traceability built for the line.

  • Verified supplier discovery with risk scoring
  • Lot-level material → process → yield correlation
  • Recipe co-pilot with yield uplift simulation
  • Order management tied to ESG outcomes
Before

Spreadsheets, brokers, and 6–12 month qualification cycles.

After

Onboarded, scored, and transactable in days.

Role 02

Supplier

Showcase quality, prove provenance, win more business.

  • Digital product catalogs with verified specs
  • Blockchain-anchored material passports
  • Sales order workflows and buyer relationships
  • Continuous performance feedback from the line
Before

PDF datasheets, fragmented buyer relationships, opaque trust.

After

Verifiable provenance and a permanent reputation graph.

Role 03

Trade Partner

Underwrite green-materials trade with intelligence, not guesswork.

  • Counterparty risk scoring on real production data
  • Invoice and trade financing on the same data layer
  • Portfolio analytics across deals and corridors
  • CBAM and ESG signals priced into every facility
Before

Static credit files, reactive risk reviews, slow underwriting.

After

Live risk view, faster decisions, lower loss rates.

Role 04

Logistics Partner

Move materials with visibility from lot to line.

  • Shipment tracking joined to lot and order data
  • Route optimization and warehouse management
  • Delivery scheduling tied to production cadence
  • Carbon-on-the-move accounting in Scope 3 ledger
Before

Disconnected TMS/WMS systems, blind to production needs.

After

Synchronized logistics — accountable to yield and ESG.

Platform Architecture

Four layers of manufacturing intelligence.

Data → Intelligence → Transactions → Financing — one AI-native supply chain operating system, from buyer–supplier collaboration to automated financing.

Layer 01 · Foundation

Data Layer

Unified MES, LIMS, ERP, supplier and IoT data streamed into one lot-level material ledger.

Layer 02 · AI

Intelligence Layer

Material-process-performance models, defect attribution, yield simulation and supplier scoring — with the MatiE copilot on top.

Layer 03 · Commerce

Transactions Layer

Verified procurement, RFQs, sales orders, digital material passports and blockchain-anchored provenance.

Layer 04 · Capital

Financing Layer

Trade finance, invoice discounting and ESG-linked credit underwritten on live production data.

Connectors

MES · LIMS · ERP · supplier portals · IoT line telemetry · TMS/WMS — auditable from sensor to settlement.

Federation & Blockchain

RDFL federated learning trains across manufacturers without moving raw data. BLIC anchors passports, transactions and signatures on-chain.

Security & Trust

Zero-trust networking, customer-managed keys, SOC2-aligned controls and cryptographic provenance for IP-sensitive manufacturers.

MatiE AI copilot sits across all four layers

Compounding flywheel

Four layers. One self-reinforcing network.

Richer data powers better intelligence. Better intelligence drives more transactions. More transactions unlock more financing — and every loop deepens the moat across the entire supply chain.

  1. 01

    Data Layer

    Raw supplier, material, and process data ingested and enriched at lot-level.

  2. 02

    Intelligence

    Benchmarking, scoring, defect attribution, and risk analytics across the network.

  3. 03

    Transactions

    Procurement workflows, RFQs, POs, and digital material passports — verified end-to-end.

  4. 04

    Financing

    Embedded supply-chain finance underwritten on live production data, not paper trails.

Get started

Build the future of Manufacturing Intelligence.

Join the operators, suppliers and partners building the operating system for the global clean-tech economy.