Automatically detect anomalies like drifts and outliers within the data lake

Find and exclude anomalous data from AI-workloads, take action before it affects business

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Spot anomalies before they impact your business

Monitor your data anomalies automatically without any setup using machine learning. No sampling, ML-based data anomaly monitoring without any setup.

Column value level anomaly detection for things like value outliers, out-of-range values, and unexpected value
Self-evolving thresholds based on ML models that understand your data, including seasonality
Improved time-to-value as the model gets trained on historical data

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Faster insights using predefined metrics

Telmai employs machine learning and statistical analysis to automatically generate thresholds for both custom and predefined data health metrics

Metrics include schema drifts, data completeness, pattern drifts, and dozens more
Telmai’s DQ metrics can be fully customized based on your team’s expectations

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Customer stories

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Buying a home is one of the biggest decisions people make, and our customers rely on us for accurate, trustworthy data. But managing property data across multiple markets, with different systems, sources, and standards alongside a multi-cloud infrastructure, makes data reliability a complex challenge. Telmai has become a critical partner in helping us stay ahead.

Marek Tuchalski

Director of Engineering for Data, PropertyGuru Group

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

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Spot drifts the moment they occur

Telmai’s automated and manual thresholds ensure that data remains consistent, accurate, and compliant

Using machine learning and statistical analysis, Telmai automatically builds thresholds for all custom and pre-defined metrics. These are advanced thresholds calculated using ML and statistical analysis of existing and historical data
Automated thresholds allow you to take action on inconsistencies like excluding suspicious data from AI inputs

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