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Combine explicit tests for business rules with self-learning monitors that detect anomalies without fragile thresholds. All set in minutes.
Combine automated testing and self-learning anomaly monitoring into one powerful data testing strategy to detect all errors.
Automatically adapting to seasonality of your business, learning from your feeedback, with explainable predictions. Our multi-stage monitoring pipeline accurately detects anomalies while reducing false positive alerts.
Prevent alert overload by deploying monitors where they provide the most value. No need to blast anomaly detectors everywhere to detect the same issue.
Define ownership across your data tests and monitors and bring relevant and targeted alerts directly to the right people. Activate ownership
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