The industrial AI copilot that turns your production history into safer, more consistent batch decisions — on the line, in real time. Built for regulated manufacturing where every recommendation must be explainable, every parameter must be defensible, and every outcome must be reviewable.
Built for the operator who runs the line and the engineer who has to defend every decision in front of an auditor.
Parameters tuned to product type, ambient conditions, material lot and shift — drawn from your real production history, not a generic model trained on someone else's line.
Every batch pre-validated by camera, acoustic, PLC and thermal signals before the full run. Anomalies trigger automatic rollback. Bad scrap never reaches the line.
Every batch outcome writes back to the model. No retraining cycles, no engineering sprints, no MLOps team — the recommendation set improves with every shift.
Built for the shop floor, not a data science notebook. Each recommendation is shown with the past runs that informed it, in the operator's language. Confidence shown, not assumed.
The same sequence runs every time — predictable for the operator, traceable for the regulator, defensible for the engineer.
Product, ambient, lot, shift — read from PLC, MES or the operator panel.
Four parameters with confidence bands and reference runs from your own history.
Five test units across four sensors. Anomalies trigger automatic rollback.
Every unit scored in real time. Mid-batch alerts if signals drift.
Outcome writes back. The next similar batch is influenced by it.
No greenfield rewrite. nervhat connects to existing PLC and MES, ships with sensible defaults, and can be hosted however your IT department prefers.
What plant managers, IT leads and operations directors ask before a pilot.
If parameter choice still depends on operator memory on one of your lines, we'd like to hear about it.
info@nervhat.com