Teams discover metric anomalies hours or days after they occur by manually checking dashboards. A 30% conversion drop on a Saturday isn't noticed until Monday. Static threshold alerts generate too many false positives to be useful.
AI-powered anomaly detection that learns normal patterns for every metric, detects deviations in real-time, and provides root cause analysis — explaining not just what changed but why, with correlated events and data points.
Data and analytics teams at SaaS and e-commerce companies monitoring 50+ KPIs who need proactive alerting, not reactive dashboards
Companies have more data sources than ever but no unified monitoring. ML anomaly detection is now affordable and accurate. Static thresholds create alert fatigue. Real-time response prevents revenue loss.
Per-metric pricing: $1/metric/mo (min $99/mo). Platform: $99/mo (100 metrics), $299/mo (500 metrics), $799/mo (2,000 metrics). Enterprise: custom.
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