
Anomaly
Anomaly Detection and Monitoring Service.
Date | Investors | Amount | Round |
---|---|---|---|
investor investor investor | €0.0 | round | |
$12.0m | Series A | ||
Total Funding | 000k |
Related Content
Anomaly.io operates as a real-time anomaly detection and monitoring service, founded by lead developer Martin Magakian. The company's platform is engineered for businesses that rely on the continuous monitoring of time-series data, such as Key Performance Indicators (KPIs) and sales figures. The core of the service is its use of mathematical algorithms to automatically identify unusual patterns, recurring events, and broken correlations within a client's metrics, requiring no initial configuration. It is built to integrate with a variety of data sources and programming languages, including Salesforce, Java, Python, and PHP.
The service functions on a subscription-based model, offering several tiers of monthly and annual plans that scale based on the number of metrics monitored, data resolution, and the speed of detection. A key feature is its smart alert system, which notifies users of detected anomalies through multiple channels like email, text messages, and PagerDuty integrations. These alerts are designed to be easily understandable, using plain English and graphics to explain the nature of the anomaly. The system also incorporates a feedback loop, allowing users to label alerts as relevant or not, which helps refine the detection accuracy over time. For clients with specific infrastructure requirements, Anomaly.io provides the option for on-premise installation and management of their detection cluster.
Keywords: anomaly detection, time-series monitoring, KPI monitoring, real-time alerts, metric analysis, pattern detection, data correlation, SaaS, machine learning, business intelligence, Salesforce integration, PagerDuty integration, data monitoring, algorithmic detection, automated alerts, metric visualization, operational intelligence, custom monitoring, developer tools, statistical analysis