FIELD BY WACE — 200+ SITES / 16 YRSWe don't sell a product and walk away. Engineers who have spent 16 years across more than 200 manufacturing sites stay with you from diagnosis through build to adoption.
FIELD BY WACE — 200+ SITES / 16 YRSWherever you enter, the first step is the same — we diagnose your floor and your data and check how far standardization has come. How ready your data is decides only what comes next: deeper consulting, a system build, AI agents or autonomy.
| S-01 Dark Factory Consulting (NEW) | S-02 Smart Factory Build | S-03 AI Agents (NEW) | S-04 Autonomous Factory | |
|---|---|---|---|---|
| Who it's for | Companies that want AI but are stuck at the data stage | Companies that need operational systems — production, quality, design, materials and more, across 20 areas | Companies with systems in place but decisions and ordering still done by hand | Companies moving toward autonomous operation |
| What we do | Data diagnosis, standardization and building AI-ready systems | Building operational systems on the platform | AI agents built on your existing systems and data system-safe plug-in, nothing replaced | Building the perceive-decide-execute closed loop grounded in government programs |
| What stays | Data and AI the whole company uses on one standard | Systems on standard tables and an ontology | An AI-driven way of working that decides on your own data | A factory that grows autonomous step by step |
| Track record | Launching July 2026 | 20+ builds | Manufacturing-AI program in progress (K-System integration) | Korea MSS Autonomous Factory Program — Speefox · Chexcar |
Manufacturing-AI engineers go on-site, diagnose and standardize your scattered data, and own the build of AI-ready systems.
We build 20 solution areas — MES, PLM, ERP, QMS and more — on the platform, so the standard stays after the project ends. 20+ builds.
Without replacing your ERP, MES or other systems, we connect them through an ontology and build AI agents that decide on your company's data.
Grounded in government programs. We build the perceive-decide-execute closed loop and move step by step toward a factory that keeps running with fewer people.
We diagnose your data, equipment and system landscape, then propose the best place to begin.