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We build an industrial AI operation layer on top of existing systems such as PLM, ERP, MES and OA — unifying business semantics, orchestrating agents, connecting system interfaces, verifying permissions and state, and preserving process evidence. No rip-and-replace, no lock-in to a single model.
Seven modules organized in three layers: ontology and rules settle below, unlimited scenarios are supported above.
With ontology at the core, unify business semantics and rule expression, giving the editors and applications above a consistent understanding of the business.
Ontology, employee and scenario editors let business people — not algorithm engineers — define the boundaries of AI behaviour.
Across R&D design, simulation, process, assembly, delivery and O&M — full-lifecycle scenarios keep accumulating as reusable scenario packages.
The product is seven things; delivery is one operational journey.
Your systems of record keep the books; we make AI understand the process, advance the action and leave the evidence.
Unify business semantics · Orchestrate agents · Connect system interfaces · Verify permissions and state · Preserve traces
PLM owns drawings and BOMs, ERP owns orders and material accounts, MES owns production execution, OA owns organizational collaboration — each keeps its own books.
Use OPM to translate a scenario into objects, processes, states and rules.
Use Persona to define whose identity AI acts under and where its permission boundary lies.
Runtime verifies state, blocks unauthorized actions, records audits and supports rollback.
Trace leaves an evidence chain and KPIs behind, becoming the starting point for the next scenario.
The product is seven things; delivery is really one operational journey. The four-piece set is the client-facing way to read it.
Objects, processes, states, rules — so AI knows which way the road runs.
Identity, permissions, allowlists, red lines — whose identity is it acting under.
Verify, intercept, audit, roll back — act within bounds.
Evidence chain, KPIs, experience, reuse — reviewable and reusable.
Start with a 90-day closed loop: validate first, then scale.
