An autonomous AI agent that monitors industrial process data 24/7, flags anomalies before they become failures, and generates shift reports — so your engineers focus on what matters.
This is a client-side simulation of how Mixflow monitors a real mixing process. A scripted temperature fault appears ~30 seconds in — watch the agent catch it before threshold breach.
Mixflow integrates with OPC-UA, Modbus, and REST in 48 hours. No PLC rewrites.
Every sensor reading compared against learned baselines. Deviations trigger instant alerts with root cause context — not just a number flashing red.
End-of-shift summaries auto-generated from real sensor data — production rates, deviations, maintenance events, recipe performance. Delivered to your inbox before you walk in.
Wear patterns on mixers, seals, and dosing pumps flagged weeks before failure. Maintenance windows planned around production schedules, not guesswork.
The agent tracks which recipe parameters produce the best output quality and consistency — then suggests improvements based on actual production data, not theory.
Every plant runs with a engineer watching data, writing reports, and catching problems reactively. Mixflow changes that — not with more dashboards, but with an agent that does the watching for you.