Anomaly Detection
A data auditor that never sleeps. Telmai’s ML monitors your pipeline 24/7 for abnormalities across millions of dimensions
Request a demoSpot anomalies before they impact your business
Telmai employs machine learning and statistical analysis to automatically generate thresholds for both custom and predefined data health metrics
- Column value level anomaly detection for things like value outliers, out-of-range values, and unexpected value
- Telmai’s thresholds are self-evolving, based on historical data from your systems
- Telmai’s AI engine continually revises and refines thresholds, ensuring precise monitoring and timely insights into your data’s performance and quality
Faster insights using predefined metrics
Telmai uses predefined data metrics for monitoring data, delivering greater insight into critical aspects of your data infrastructure
- Metrics include schema drifts, data completeness, pattern drifts, and dozens more
- Telmai metrics can be fully customized based on your team’s expectations
Detect drifts and anomalies in Business Metrics
Telmai supports monitoring of custom Business Metrics. Business Metrics are aggregations applied over an existing schema attribute. This is applied to numeric data and grouped by one or many dimensions
Monitor the metrics that matter to your business
Telmai enables you to define business metrics that you want to track within a dataset
- You can apply various aggregation functions (sum, avg, min, max) to numeric data, tailoring the analysis to your specific needs
- Group your data by one or multiple dimensions to gain granular insights. Each dimension operates independently, ensuring comprehensive data analysis
Spot drifts the moment they occur
Telmai automated and manual thresholds ensure that data remains consistent, accurate, and compliant
- Telmai automatically builds thresholds for all custom and pre-defined metrics using machine learning and statistical analysis. These are advanced thresholds calculated using historical data
- Automated thresholds alerts allow you to instantly take action on inconsistencies
More features
Connect Datasources
Connect your datasource, or send data via REST, or load a local file
Analyze Data Health
Quickly identify and pinpoint data anomalies, errors, or inconsistencies
Alert
Telmai will learn your data and its trends and automatically alert on unexpected drifts
Recommendations
Telmai will finally advice you on next best actions for your data sets
Complete Pipeline Observability
Secure monitoring across entire pipeline without performance impact
Anomaly Detection
Find anomalies in column-values and aggregated business metrics
Cross-System Consistency
Data consistency across every system and source
Data Health Analysis
Discover powerful new health insights. No code required
Data Quality
Ensure every decision is based on reliable data
Incident Management
Take action before data issues impact your business
See what’s possible with Telmai
Request a demo to see the full power of Telmai’s data observability tool for yourself