Manufacturing

Our predictive maintenance agents ingest sensor and IoT telemetry from your production lines and use anomaly-detection models trained on failure patterns to flag equipment issues 2–4 weeks before they occur — not just when a threshold is crossed. Maintenance teams get a prioritized work order instead of a reactive alert, which is what typically drives the 40%+ downtime reductions we see.

Yes. We build on top of your existing camera and PLC infrastructure wherever possible rather than requiring a hardware overhaul. Our vision models are trained on your specific defect types and product lines, typically reaching 99.5%+ detection accuracy within a few weeks of calibration against your historical defect data.

A single-plant predictive maintenance or quality control deployment is usually live in 8–12 weeks, including sensor integration, model training, and operator handoff. Multi-plant rollouts are staged sequentially so each site's team can validate the system before it scales to the next facility.

Yes — our agents read from and write to your existing SCADA, MES, and ERP systems (SAP, Oracle, and others) rather than replacing them. We treat your current technology investment as the system of record and add an autonomous decision layer on top of it.