Partner with elite ML engineers who build intelligent anomaly detection systems that identify fraud, predict failures, and spot security threats in real-time.
Anomaly detection uses machine learning to identify unusual patterns, outliers, and deviations from normal behavior—catching fraud, failures, and security threats before they escalate.
Automatically detect rare events, outliers, and suspicious patterns in massive datasets—whether it's fraudulent transactions, equipment failures, or security breaches.
Catch anomalies as they happen with streaming detection systems. Get instant alerts when critical metrics deviate, enabling immediate response and prevention.
Build systems that learn what's normal for your business and adapt over time—reducing false positives while catching increasingly sophisticated anomalies.
Companies using anomaly detection report 60% faster incident detection, 80% reduction in fraud losses, and millions saved through predictive maintenance. Early detection isn't just valuable—it's essential for staying competitive and secure.
From fraud prevention to predictive maintenance, our engineers build detection systems that protect your business
Identify fraudulent transactions, payment anomalies, identity theft, and suspicious account activity in real-time across financial systems and e-commerce platforms.
Detect cyber attacks, unusual network traffic, unauthorized access attempts, and security breaches before they compromise your systems.
Spot production anomalies, quality issues, and process deviations early. Reduce waste and ensure consistent product quality with automated inspection.
Predict equipment failures, detect abnormal sensor readings, and schedule maintenance before breakdowns occur. Minimize downtime and extend asset lifespan.
Monitor patient vitals, detect abnormal health indicators, identify disease outbreaks, and flag critical medical events requiring immediate attention.
Detect unusual patterns in metrics, KPIs, sales data, web traffic, and business operations. Spot trends and deviations that require investigation.
Automatically analyze application logs, server metrics, and system behavior to detect errors, performance issues, and infrastructure anomalies.
Identify unusual user patterns, account takeovers, bot activity, and behavioral anomalies that indicate fraud, churn risk, or opportunities.
Monitor IoT devices, sensor networks, and connected systems for unusual readings, device failures, and environmental anomalies at scale.
Experts in isolation forests, autoencoders, statistical methods, and deep learning approaches for anomaly detection
Build systems that handle both real-time streaming data and large-scale batch analysis with low latency
Custom models trained on your specific patterns, reducing false positives and catching relevant anomalies
Understand why something was flagged as anomalous with interpretable models and detailed explanations
Launch your anomaly detection project in four simple steps
Define What's Abnormal
Describe what you need to detect—fraud, failures, security threats, or unusual patterns
Match With Experts
Connect with engineers who have built similar anomaly detection systems
Build & Validate
Train models on your data, tune detection thresholds, and validate accuracy with historical anomalies
Monitor & Alert
Deploy with real-time monitoring, alerting, and continuous model improvement
Connect with expert ML engineers and build intelligent detection systems that protect your business