AI & Agentic · Digital Manufacturing
Manufacturing data lives in silos — the controller doesn't talk to the ERP, the customer's voice never reaches the design table. Every system holds a fragment of the truth; PlinthosLab CONNECTED-CONTEXT weaves those fragments into one living picture — and puts autonomous agents to work across it. From controller signal to design decision — one intelligent thread.
Every layer of the manufacturing stack holds part of the picture — and none of them share it. The result is slow decisions, lost context, and a feedback loop that never closes.
The shop floor generates millions of signals an hour — most are discarded before anyone can act on them.
The ERP and MIS see what was planned and what was billed, but not why the line actually stopped.
The CRM collects customer complaints that never make it back to the PLM — so the same defect ships again.
Engineers redesign in the dark, because field reality and design intent live in two different worlds.
The Platform
PCC unifies the manufacturing data chain into a single continuous thread, and runs a layer of governed AI agents across all of it — one product, built to deploy in a real plant.
Four layers, one platform — each independently proven, designed to work as a whole.
Where people direct the agents, review what they surface, and stay in control of every call that matters.
Agents that perceive, reason, act, and learn across the thread — with human governance built in, not bolted on.
Real-time and historical data from every system, joined into a single contextual thread with lineage you can trust.
Adapters for controllers, historians, MIS, ERP, CRM, and PLM — over open standards like OPC-UA. No rip-and-replace.
Not dashboards waiting to be read — agents that perceive, reason, act, and learn across the connected thread.
Catch process drift at the controller before it becomes scrap, a warranty claim, or a recall.
Read the line in real time, find the constraint, and re-sequence work before the bottleneck forms.
Predict equipment failure from historian signals — schedule maintenance around production, not against it.
Turn CRM and field data into structured design signals, and route them straight into the PLM.
Tie energy draw to output and find the waste — lower cost and carbon from the same data.
Agentic simulation for PLM — closing the loop from field reality into the engineering model. On our roadmap.
Built to scale
The same platform, the same architecture — whether you start on a single cell or run a fleet of plants. Scale without re-building.
Connect a single production line or cell. Prove one agent on one use case — fast.
Connect the whole facility. Multiple agents working the thread together, plant-wide.
A fleet of plants on shared intelligence. Roll out across sites without re-architecting.
Deployed inside your environment — sovereign by default, no shared tenancy, you own the data.
The connectivity layer speaks to the systems already on your floor. No rip-and-replace to get value.
Start with one line and one agent, expand across the plant as the value proves itself.
Three shifts are converging — and they make the unified, agentic factory buildable for the first time.
Open standards like OPC-UA and the unified namespace mean shop-floor data can leave the silo without a rip-and-replace.
Modern AI can reason over messy industrial context and take governed action — the missing layer above the dashboard.
A global push to rebuild manufacturing capacity needs software that is resilient, sovereign, and built to scale.
We're building it with a small group of design partners shaping the product alongside us. If that's you, let's talk.