AI-powered anomaly detection for oil & gas and chemical plants. Five detection methods run simultaneously on every signal — catching degradation hours before threshold alarms fire.
By the time a threshold alarm fires, equipment has often been degrading for hours. Emergency shutdowns, rush repairs, and lost production follow.
Hundreds of threshold alarms generate noise. Operators miss the critical ones. Simple thresholds can't distinguish genuine degradation from normal variation.
An alarm fires and an operator has to diagnose the cause, find the right procedure, and decide what to do — all under pressure, in real time.
We catch degradation patterns that threshold alarms miss entirely — then tell your operators exactly what's happening and what to do about it.
ClearPoint connects to your existing data infrastructure and continuously monitors every signal — no new hardware required for digitized facilities.
We connect to your existing SCADA historian, InfluxDB, MQTT broker, or OPC-UA server. Your sensor data streams into ClearPoint continuously — no new hardware needed for facilities that are already digitized.
Five detection algorithms run simultaneously on every signal. When multiple methods agree something is wrong, an anomaly is flagged with a confidence score and cause classification. Adaptive thresholds self-tune to your equipment.
AI generates a plain-English explanation of what's happening and why — grounded in your indexed maintenance documentation. Operators get specific recommended actions referencing your actual procedures, not generic advice.
Built for plant managers and operations engineers who need answers, not just alerts.
Every signal on one screen. Color-coded severity, anomaly scores, cause categories, and last event times — sorted so the worst problems are always at the top.
Click any signal to see the full telemetry plot with anomaly markers overlaid, the AI explanation, possible causes, and the detector vote breakdown.
Z-score, IQR, rate-of-change, Isolation Forest, and drift detection run in parallel. Weighted voting eliminates false alarms and catches slow degradation patterns.
Operators can ask the AI anything — operating limits, emergency procedures, what a specific alarm means. Answers come from your indexed maintenance documentation.
Detection thresholds self-tune based on observed anomaly rates. The system learns what normal looks like for your specific equipment and adjusts automatically.
ClearPoint reads from your existing data infrastructure. No changes to your SCADA, no new hardware for digitized facilities, no disruption to operations.
Where unplanned downtime is measured in tens of thousands of dollars per hour and equipment failures carry safety implications.
Monitor compressors, heat exchangers, pumps, and rotating equipment. Catch bearing wear, fouling, and thermal anomalies before they become unplanned shutdowns.
Continuous process monitoring for reactors, distillation columns, and critical utilities. Early detection of process deviations that affect yield, quality, and safety.
Remote monitoring of gas compression stations, separation equipment, and production facilities where on-site staffing is limited and failures are costly.
Pump station monitoring, custody transfer equipment, and terminal operations where equipment reliability directly impacts throughput and contractual commitments.
See exactly what your operators would see — from the plant overview to signal drill-down to the AI assistant answering a maintenance question.
Demo video coming soon
We'll show you a live demo and discuss whether ClearPoint is the right fit for your facility. No obligation, no sales pressure — just a straight conversation about your equipment reliability challenges.