YMERGE provides a meta‑factory platform that integrates internal and external data across supply chains and production systems using agentic AI and semantic data integration. The solution enables manufacturers to make verifiable, data‑driven decisions that boost process efficiency and capital deployment, while adapting rapidly to market changes.
Funding
Funding not disclosed
Founders
Product
Problem
Manufacturers often struggle to consolidate internal ERP data with external supplier and market information, resulting in fragmented visibility across complex Bills of Materials and production networks. The latency and manual effort required for data integration hinder rapid response to market volatility and limit the ability to make verifiable, data‑driven decisions. Consequently, process efficiency and capital deployment suffer, especially in high‑mix, mission‑critical industries.
Solution
YMERGE delivers a meta‑factory platform that unifies all internal and external data sources through semantic data integration and agentic AI. The system continuously ingests, normalizes, and links data at high speed, preserving data integrity and providing a single source of truth for supply‑chain and production‑system analytics. Agentic AI components actively reason over the integrated data, generating adaptive recommendations that evolve as market conditions change. Users receive verifiable, AI‑derived insights that support optimized scheduling, inventory management, and capital allocation. The platform is tailored for complex assemblies with thousands of unique components, enabling manufacturers to maintain resilience and competitive advantage without extensive custom development.
Target Audience
Primary customers are manufacturers of high‑complexity, mission‑critical components—such as aerospace, defense, and automotive firms—that require integrated, AI‑enhanced supply‑chain and production planning.
Features
- Semantic data integration engine that automatically maps and reconciles heterogeneous data formats from ERP, PLM, supplier portals, and market feeds
- Agentic AI architecture that continuously learns, reasons, and adapts recommendations based on real‑time supply‑chain dynamics
- End‑to‑end visibility of complex Bills of Materials and multi‑tier supplier networks with traceable data lineage
- Real‑time scenario modeling and what‑if analysis for rapid response to demand shifts, regulatory changes, or component shortages
- Customizable dashboards and API layer for seamless integration with existing MES, ERP, and analytics tools
- Built‑in data security and sovereignty controls to protect proprietary manufacturing information