Get full confidence in your business critical data assets
Validio catches bad data within seconds in your streams, lakes, and warehouses
Trusted by individuals and teams at the world’s best companies
Catch bad data
— when and where it appears
The only platform that validates structured and semi-structured data; end-to-end in data streams, lakes, and warehouses.
Deep & automated validation
— maintenance free
Validio’s anomaly detection is powered by Machine Learning models that train on individual segments of your data, automatically improving over time.
Providing ML recommendations is the bread and butter of our business model. Validio helps us monitor both input and output data, which takes OfferFit to the next level.
Instant insights with thresholds trained in seconds
Instantly process your historical data to train thresholds. Get tailored recommendations to quickly set up essential data validation. Easily customize individual validators to fit your needs.
Built for
collaboration
Designed for technical and business users alike, whether you prefer a graphical user interface or Infrastructure-as-code. Get insights via our API, through Slack/Teams, or directly in the Validio dashboard. Handle incidents in your existing Issue Management tool.
A home for data-driven teams
Data Engineers
Get a stress-free environment where you can build fast and scalable data stacks that enable the business. Validio helps you catch and fix bad data proactively in a way that elegantly scales.
Data Leaders
Unlock the value of data to the broader organization, get stakeholder buy-in and the supporting tools your team needs to be productive
Data consumers
Data scientist or analyst? Then you know the importance of accurate data. Never spend time or effort worrying about if you can trust the data or not, or whether the data changed unexpectedly.
“Rather than stakeholders pinging us on Slack and asking ‘Hey why is this wrong?’ Validio has put us in the position to reach out to them proactively and say ‘We’ve discovered there’s an issue and we’re working on fixing it.”
