PROJECT
Our SaaS solution seamlessly integrates with the modern data stack and is designed to automatically monitor tables for a wide range of data quality issues. By leveraging unsupervised learning techniques, our software is capable of identifying deep-seated problems in the data, such as sudden changes in distribution, that traditional rules and basic observability often fail to detect. Our platform also features built-in root cause analysis capabilities, which not only indicate whether data is anomalous, but also explain why and what the impact is. As a result, our solution helps prevent data issues from making their way into dashboards, reports, and products, allowing data teams to focus on building instead of debugging.
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