Ask your plant in English
For twenty years, the answer to "what happened on shift B" has been a PowerPoint.
The data was never missing. It was in the historian, the SCADA, and the ERP. What was missing was a query language a plant manager could speak. So the query language became a human, and the human ran on weekly cadence.
English is finally a good query language for factories. It stopped being a demo trick sometime in 2025.
What actually shifted
A standard protocol for connecting language models to real tools (MCP), and models good enough at multi-step reasoning to use them without falling over. Together they mean an assistant can read live tags, pull historical aggregates, walk the audit chain, and cite each source it used — without you writing bespoke agent code for every question.
The assistant page walks the surfaces the model gets: readings, deploy history, and the fasten audit chain, each exposed as a tool with a role check on every call.
Three roles, one assistant
Same tools. Different scope. The scope check happens at the tool layer, not in the UI — an operator cannot ask about the plant next door even by accident.
What a real thread looks like
Owner asks a cross-plant question. Plant manager drills into their own plant on the same thread. The assistant weaves live and historical data and cites what it used.
a1b2c3…Every claim in an answer points at a specific reading, a specific window, or a specific fasten event. When someone asks "prove that", the trail is right there.
Cloud or self-hosted, your choice
The assistant speaks the same protocol either way. You pick the model, and you can change your mind later without changing anything else in the stack.
Cloud AI
- Battle-tested reasoning
- Priced per query
- Data leaves the site only on ask
Self-hosted AI
- Nothing leaves your environment
- Fixed cost, no per-query billing
- Right choice for regulated industries
The choice usually turns on data-localisation obligations. If your plant is under DPDP-style rules or your customer contracts prohibit sending raw data offshore, self-hosted is the answer and the assistant experience is identical.
Where this replaces work
The obvious win is the shift-review meeting. The less obvious win is the tail of small queries that never made it to the meeting at all — because the friction of formulating them in SQL was too high.
The weekly deck shrinks to a summary of what the plant already agreed on. The plant manager's calendar frees up.
Wire the assistant to one line
30-minute call. We connect the assistant to a slice of your existing data and let you ask it questions live. You keep the model choice.
See how the assistant works