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Validio uses AI agents and ML-based anomaly detection to monitor and validate data and metadata across warehouses, streams, lakes, query engines, and BI tools. It combines data observability, quality checks, lineage tracking, and cataloging in a single platform, and automates tasks that typically require manual setup and investigation.
The Overview page in Validio

The Overview page displays a summary of your data quality, incident resolution, and recent activity.

Key Capabilities:
  • Anomaly detection: ML algorithms that account for trends, patterns, and seasonality, in addition to static threshold rules. Models adapt automatically as data evolves.
  • AI agents: Purpose-built agents automate monitoring setup, validator configuration, and ongoing validation — replacing manual, rule-by-rule configuration.
  • Automated root-cause analysis: Lineage tracking and incident grouping identify where issues originate, so you can debug across pipelines rather than individual tables.
  • Collaboration: No-code UI for business teams and a code-first interface (SDK, API, CLI) for data teams.
  • Security: Supports VPC deployment and Validio-hosted options.

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Request a demo

We provide custom demo sessions to help you get started. Request a demo.

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Installation options

You can install Validio in your VPC or have us host it, depending on your preferences and needs. See Customer virtual private cloud and Managed solution.

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Getting started tutorial

If you are new to Validio, the getting started tutorial walks you through how to monitor a data source, validate its data, investigate detected incidents, and configure notifications to stay on top of future issues. See Getting Started Tutorial.