MicroAI is an edge-native platform that connects directly to line controls and sensors to monitor cycle-time, stoppages, scrap, and quality drift in real time. It learns your line’s normal behavior, flags anomalies in seconds, and recommends actions to keep takt on target and throughput predictable.
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:
MicroAI’s Agentic GenAI solution has fundamentally transformed the way we manage our industrial operations. The solution’s ability to autonomously learn from machine data and adapt in real time has given us a level of observability and control we did not have before. By continuously correlating telemetry across our production lines, it identifies early patterns of inefficiency and proactively recommends adjustments for optimization. In the first 90 days we cut unplanned stops by 28% and lifted throughput 11% by fixing chronic micro-stops on our bottleneck station.
Start with one line in under two weeks. Get automated stop capture, takt tracking, and real-time alerts—then scale to every line.
A: It’s a production line monitoring layer that reads from PLC/SCADA/MES, adds real-time analytics and alerts, and feeds data back to your tools.
A: Typical pilot is 1 line in 1–2 weeks using existing tags and sensors.
A: Often no. We start with PLC tags, add vision or sensors only if a gap exists.
A: On-prem or at the edge by default; cloud optional for fleet roll-ups.
A: OEE • Availability • Performance • Quality • Throughput • Cycle-Time • Takt Adherence • First-Pass Yield • Scrap Rate • Changeover Time • MTBF • MTTR
A: Yes—SKU-aware models adapt takt and cycle-time across changeovers.
