Anomaly detection built on HyperSense
Monitor, analyze, and manage KPIs in real-time
Monitor business KPIs in real-time
Our AI-powered anomaly detection built on HyperSense allows you to analyze streaming data at a granular level, making it easy to identify business-critical incidents and opportunities in real-time. With capabilities for contribution analysis and smart insights, our solution allows you to understand the root cause of hidden anomalies as and when it occurs. The vertical agnostic tool is equipped with features like multivariate analysis and auto-clustering for extremely low latency and automated operational decision-making.
Why HyperSense?
Challenges with traditional solutions
Anomaly Detection Features
Real-time
Autonomous, real-time anomaly detection for time-series data with low latency for fast issue resolution.
Contextual analysis
Detect and contextually analyze anomalies to know the cause-effect relationship.
Smart insights
Get detailed insights on related metrics which are impacted similarly and identify the root cause of issues.
Contribution analysis
Leverage the multivariate analysis feature to know the contribution of all the factors that lead to an anomaly.
Intelligent alerts
Get immediate alerts for high-priority anomalies based on their anomaly score or significance.
Seamless Integration
In-built connectors and customized APIs for easy integration with existing systems and databases.
See how anomaly detection will help you
Monitor KPIs in real-time
Monitor and analyze incoming streaming data at a granular level.
Detect incidents automatically
Autonomously identify hard to detect anomalies in time-series data for fast remediation.
Discover business opportunities
Spot hidden trends and gain actionable insights to drive growth.
In-depth Root Cause Analysis
Correlate related metrics and know the factors that contribute to an anomaly.
Mitigate Risks
Identify anomalies in real-time to minimize their impact on your business.
Incident correlation
Correlate anomalies across metrics in real-time to understand the incidents better.
