Federated learning, blockchain provenance, and proprietary material-process-performance models — production-grade from day one.
Every layer is engineered for privacy-preservation, auditability, and production-grade scale.
Role workspaces · supplier RFQ · ESG ledger · recipe co-pilot
Material-process-performance models · defect attribution · yield simulation
Train across customers without moving raw data — IP-preserving collective intelligence
Blockchain-anchored provenance · LC settlement · counterparty signatures
Lot-level material, recipe, process, and field-performance unification
MES · LIMS · ERP · supplier portals · IoT line telemetry
Train across customer datasets without moving raw data — each manufacturer benefits from collective intelligence while keeping IP private.
Anchored material provenance and transaction records — immutable audit trail for CBAM, SBTi, and customer disclosures.
Material-process-performance models built with NTU & SERIS. The only dataset linking lab-grade material properties to GW-scale production yield.
Every transaction strengthens the supplier graph. Every onboarded line refines the AI. Switching cost compounds with every datapoint.
Three peer-reviewed programs power data intelligence, supply-chain trust, and yield optimization — built with NTU Singapore and validated in production.
IEEE ICDISM 2023 · NTU Singapore
Manufacturers share yield intelligence without exposing proprietary process data. Accuracy within 1–2% of centralized training — IP stays on-prem.
Suppliers share intelligence, not data.
IEEE Cybernetics 2019 · NTU Singapore
Immutable records and cryptographic authentication for every material transaction and supplier qualification — the trust spine of the network.
Supplier trust is cryptographically verifiable, not self-reported.
NTU Singapore · IHPC A*STAR
AI-enabled blockchain for transparent solar PV supply chain management with ML optimization and end-to-end traceability — validated with Tata Power Solar.
Proprietary solar dataset built over years of live deployments — cannot be purchased or scraped.
Triple-layer IP advantage. No competitor combines privacy-preserving collaborative AI (RDFL), blockchain-authenticated provenance (BLIC), and a live solar PV intelligence platform (KONARK) in one system. Every new manufacturer deepens the moat.
Two decades of accumulated knowledge in advanced materials for solar, batteries, and semiconductors. Nuances of material behavior competitors cannot replicate.
Patent-pending models trained on real-world manufacturing data — improving continuously as more manufacturers join. A flywheel effect that widens the lead.
Curated ecosystem of pre-qualified suppliers with proven track records. Network effects make the platform more valuable as it grows.
Built-in carbon accounting and compliance reporting for CBAM, SBTi, and customer disclosures — a critical differentiator as regulations tighten.
Deep understanding of clean-tech manufacturing from decades of hands-on experience. We speak the operator's language — not a generic SaaS pitch.
"AAGM doesn't just provide data — they understand our manufacturing challenges and speak our language. That expertise is irreplaceable."
Join the operators, suppliers and partners building the operating system for the global clean-tech economy.
