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Event Stream Anomaly Detection
Spot anomalies in streams of events or logs by using deep learning models to increase revenue, reduce costs, and eliminate risks.
Spot changes in streaming data to increase revenue and mitigate risks
Identify issues early and save costs by reducing the downtime
Reduce security and operational risks by spotting abnormal activities
With Abacus.AI you can set up state-of-the-art deep learning models for event-based anomaly detection within hours. These models adjust in real time and spot both simple single events and complex sequence of events anomalies. Our models also help you find the root cause of the anomalies. No cumbersome data preparation or engineering effort to deploy the models in production is required.
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  • ANOMALY DETECTION METRICS 
Benefits
Simple Setup
No need for any complex rules or data labelling. Our deep learning models learn from your past data and identify patterns. Don’t waste time dealing with data hassles, Abacus.AI will automatically create your data pipeline and retrain your models.
Detect Complex Anomalies
With Abacus.AI you can detect both simple single events and complex sequence of events anomalies with ease. We will also help you pindown and identify the root cause of the anomalies.
Online Learning
Our models adapt to your data in real time. This means we can deal with your fast-changing data patterns with high accuracy.
Rich Console + Analytics
Our user-friendly console displays the identified anomalies and makes it easy for you to dig deeper and pinpoint the root cause.
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