Overview

Anodot’s Incident Detection product leverages patented AI and machine learning to monitor all business metrics automatically, detecting anomalies and correlations in real time. It significantly reduces alert noise—by up to 95%—and slashes time to detection by up to 80%. With autonomous learning from streaming data, users get high-quality, scored alerts that bundle correlated anomalies and provide full context—empowering teams to act quickly before incidents impact customers or the business.

Features and Capabilities

• Detection: The system autonomously learns the normal behavior of every business metric—no thresholds or manual configuration required—continuously monitoring and flagging anomalies.
• Correlation: It groups correlated anomalies and identifies contributing events across metrics, providing full context for each incident to speed resolution.
• Alert Precision: Anodot delivers distilled, scored alerts with a 95% “good catch” rate—eliminating false positives, alert storms, and focusing only on what matters.
• Speed to Insight: Detection time is reduced by up to 80%, letting teams respond to issues well before they escalate.
• Full Context Alerts: Each alert arrives with dimensions, impact assessment, correlations, and timelines—enabling effective triage and automated workflows.
• Ease of Use & Integration: Widely praised for its simple setup and user-friendly interface, Anodot can be up and running in days. It integrates with existing systems (e.g. Graphite) and works seamlessly across business and technical data streams.
• Broad Use Cases: Applicable across sectors like FinTech, e-commerce, adtech, telco, gaming, and more, with specialized monitoring use cases like product analytics, logins, payments, cloud costs, and digital experience.