MicroAI is an edge-native PdM platform that learns each machine’s normal behavior from vibration, temperature, current, cycle/load, and quality signals. It predicts faults on bearings, motors, gearboxes, pumps, compressors, and spindles, estimates RUL, and routes smart work orders to your CMMS to reduce unplanned downtime and maintenance cost.
MicroAI integrates with CNC machines, PLCs, robots, presses, furnaces, compressors, conveyors, and more. For older assets, we offer edge adapters to capture the right signals for AI-based predictive maintenance.
Compatible with:
In 90 days, PdM alerts cut unplanned maintenance 30% and extended bearing life ~22%, with fewer emergency call-outs and tighter spare-parts planning.
Start with one critical asset or line area in under two weeks using existing tags/sensors. Get early-warning alerts, RUL, and CMMS automation—then scale plant-wide.
A: 1–2 weeks for a pilot on one asset/area using existing signals; expand after proving lift.
A: Often no—start with PLC tags and historian data; add sensors (vibration, acoustic, oil) only if a failure mode requires it.
A: On-prem/edge by default; optional cloud for multi-site roll-ups and benchmarking.
A: % unplanned downtime, MTBF/MTTR/MTTF, maintenance cost per unit, PdM vs PM ratio, RUL coverage/accuracy, alert precision/recall, OEE uplift from fewer breakdowns.
A: Yes—per-asset models adapt to speed, load, SKU, and shift, preventing false alarms.
