Anomaly Detection

Anomaly Detection

Anomaly detection systems that catch fraud, equipment failures, and unusual patterns early — before they become costly incidents.

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30+
Anomaly Detection Systems Built
85%+
Avg Detection Rate
Real-time
Alerting Capability
100%
False-Positive Tuned
Anomaly Detection

Anomaly Detection Built for Real Business Impact

Anomaly detection systems that flag too many false positives get ignored, and ones that flag too few miss the incidents that matter. We tune detection thresholds explicitly against your tolerance for false positives versus missed detections, and build alerting that fits into how your team actually responds to incidents.

  • Fraud and transaction anomaly detection
  • Equipment and infrastructure anomaly monitoring
  • Statistical and ML-based anomaly detection modelling
  • Real-time alerting and incident workflow integration
  • False-positive rate tuning against business tolerance
  • Explainable anomaly flagging for investigation support
Our Approach

Why Our Anomaly Detection Delivery Works

We calibrate detection sensitivity explicitly against the real cost of false positives (wasted investigation time) versus false negatives (missed incidents) for your specific use case, rather than optimising blindly for statistical accuracy.

Fraud Detection

Transaction and behavioural anomaly detection tuned to your risk tolerance.

Equipment Monitoring

Early detection of equipment anomalies before costly failures occur.

Real-Time Alerting

Alerts integrated into the incident workflows your team already uses.

Explainable Flags

Anomaly flags come with supporting context to speed up investigation.

Delivery Process

How We Deliver Anomaly Detection

We tune detection models specifically against your real cost trade-off between false positives and missed detections, validated with your operational team before deployment.

  • Analyse historical data to understand normal vs anomalous patterns
  • Select and train appropriate anomaly detection approach
  • Tune detection thresholds against your false-positive tolerance
  • Integrate real-time alerting into operational workflows
  • Monitor and refine detection accuracy over time
FAQs

Frequently Asked Questions

We tune detection thresholds explicitly against your tolerance for false positives, validated with your operational team, so the system flags a manageable, actionable number of genuine anomalies rather than overwhelming your team.

Yes, we build real-time detection pipelines for use cases like transaction fraud where catching the anomaly before it completes is critical, alongside batch detection for less time-sensitive monitoring.

Historical operational or transactional data showing both normal and (if available) known anomalous examples — we assess what you have during scoping and can work with unsupervised approaches if labelled anomaly examples are limited.

Yes, we build in explainability so flagged anomalies come with supporting context — which features or patterns triggered the flag — to speed up your team's investigation process.

Explore Anomaly Detection for Your Business

Book a free consultation to discuss anomaly detection for your business.

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