Autonomous intelligence
for industrial reliability.

Real-time anomaly detection runs directly on edge devices—even in bandwidth-constrained factory environments. No cloud dependency means instant response to emerging failures.

When a failure is predicted, ProactiveIQ automatically schedules the right technician, orders the right parts, and selects the optimal repair window—no human intervention required.

Continuously monitors vibration, temperature, pressure, and acoustic sensors across your entire fleet. A single pane of glass for every asset in every plant you operate.

Unlike alerts-only tools, ProactiveIQ closes the loop—from prediction to dispatched technician to verified repair. Every outcome feeds back into the model for better accuracy.

Dashboard views for individual assets, production lines, and entire facilities. Know exactly which equipment needs attention and why—before it becomes a problem.

Every prediction, decision, and repair action is logged with full traceability. Meets ISO 55000 and industry audit requirements out of the box.

We caught a spindle bearing degradation three weeks before our scheduled overhaul. The replacement happened on a planned weekend instead of mid-shift.

Cut unplanned downtime 42% in 6 months

Our filler-line motors used to fail with no warning and ruin a full shift of product. Now we get a two-week lead time on every developing anomaly—no more batch losses.

Eliminated batch losses on filler line

The acoustic sensors picked up cavitation in a reactor agitator two months before vibration did. We replaced the seal during a planned turnaround instead of an emergency shut-in.

Avoided $1.2M emergency shutdown

Across our SMT lines, the closed-loop scheduling means a flagged component goes straight to the technician with parts on order. Our MTBF has nearly doubled since rollout.

Doubled MTBF across SMT lines