MicroAI is an Agentic Edge AI platform for manufacturing that transforms machines into intelligent agents. It connects to CNCs, robots, PLCs, compressors, furnaces, and other assets; ingests high-frequency signals; and applies predictive analytics for manufacturing to detect anomalies, forecast failures, and recommend actions. Teams gain real-time equipment monitoring, guided root-cause analysis, and AI-driven production optimization that improves OEE and quality.
Live status, throughput, cycle time, and machine health monitoring across your production line. Supports machine anomaly detection and utilization analytics.
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 six months, we achieved a 15% increase in OEE and a 31% reduction in unplanned maintenance events.
Get a factory-ready plan to increase OEE, reduce unplanned downtime, and optimize processes. No subscriptions you don’t need—start with what delivers impact.
A: It’s an AI maintenance system with predictive analytics and automated workflows. Use it standalone or integrate with your CMMS.
A: Edge inference reduces latency, keeps production running during network issues, and protects sensitive data.
A: Yes—through protocol adapters and sensor retrofits for condition monitoring AI and machine anomaly detection.
A: OEE, MTTD, MTTR, unplanned downtime, defect rate, and energy per unit.
A: Yes. Run on-prem/edge and control data sharing by policy.
