Catch the silent failures.
Multi-sensor anomaly detection that scores every signal in real time — drift, spikes, novel patterns, cross-sensor correlations. Alerts route to people, not to inboxes.
For
Reliability / Live
Anomaly heatmap · Plant 1 · last 24h
Now → 24h ago
Live alerts
CNC-07 spindle drift
Pump-9 flow novel pattern
Comp-A current minor spike
Threshold alerts are too dumb. Noise is too loud.
Static thresholds miss drift and ring on noise. Real anomalies hide in correlations across sensors. RockQ scores patterns, not just values — and learns what is normal for your assets, your shifts, your products.
Capabilities included.
Anomaly monitoring across machine telemetry and energy meters, with severity-aware routing and integration into existing alerting tools.
Anomaly Monitoring
Watch every signal for drift, spikes and out-of-spec patterns — multi-sensor, real-time, with severity-aware alerts.
Machine Data Collection
Connect to any PLC or sensor using vendor-independent standard protocols. Centralize data for analysis and reporting without vendor lock-in.
Energy Management
Monitor energy consumption per machine. Identify waste and optimize usage to reduce costs.
From signal to action.
Stream
Ingest from OPC UA, MQTT, Modbus, IIoT gateways or Kafka — at the edge or in the cloud.
Score
Per-sensor and cross-sensor models score every reading in real time. No fixed thresholds.
Route
Severity-aware alerts hit the right person on the right channel — Slack, Teams, email, MES.
Learn
Operators flag false positives. Models retrain. Noise goes down, signal goes up.
From signal to the right person, every time.
Not every anomaly is an emergency. RockQ scores each one and routes it through three tiers — operators see what they need, engineers see drift, leaders see only what should make the daily.
Severity
Low
Quiet drift, watching only.
Subtle deviations that may matter later. Logged for trend analysis, no one paged.
Severity
Medium
Operator gets context.
Pattern strong enough that the operator should know — surfaced in MES with the recommended response.
Severity
High
Page maintenance, hold lot.
Strong, persistent or cross-sensor anomaly. Maintenance paged, lot held, escalation path triggered.
Outcomes from real lines.
8h
Earlier detection
Anomalies caught hours before threshold alerts would have fired.
−45%
Production incidents
Issues addressed at drift, not at failure.
−70%
Alert noise
Operator-tuned models cut false positives sharply.
Powered by the RockQ platform
This solution composes these platform capabilities. Each one is also available standalone.
An expert behind every solution.
Real engineers, real factory experience. Drop them a line — they'll respond, scope and propose a working architecture, not a sales deck.
Find the next anomaly before your operators do.
Stream a week of telemetry from one critical asset. We'll show you the anomalies that were already there.