Advanced monitoring
ML-based, segmented anomaly detection reveals issues hidden in deep segments of your data.
Easier root cause analysis
See the origin, impact, and severity score of issues directly in your lineage map.
Instant backfilling
Tailor your anomaly detection to your business patterns in less than a minute.
Built for performance
Validio can process 100s of millions of records per minute, ensuring insights without delay.
Smart alerts
Cluster related incidents, filter out false alarms, and ensure focus on the details that matter.
Debug feature
Generate sample SQL code from a captured incident for further investigation in your database tool.
Granular data quality
Deep monitoring
Our models scan your actual data, allowing machine-learning based thresholds on deep segments of your data—no maintenance needed.
Leverage machine learning
Self-learning models
Our algorithms adapt to your data patterns, updating from historical data and finding new anomalies, ensuring monitoring always meets your needs.
Avoid alert fatigue
Smart alerts
Validio filters out false alarms and groups related incidents together in a single alert. Stay informed without the overwhelm.
“With Validio, we can process 100s of millions of records a minute. For a company of our scale that’s hugely valuable—the sooner we know there’s an issue with our data, the better.”
Brian Fallik
VP of Engineering
Take a tour of the platform
Fully integrated with every tool in your modern data stack
Validio integrates with every tool and service you could use in a modern data stack. And if in some incredible instance you have a tool we don’t work with - just ask and we’ll build it for you.
Built for your needs
Multiple interfaces
Built for collaboration
Align data- and business teams with interfaces for all stakeholders.
Effortless configuration
Easy set up, zero maintainance
Get instant value from your data and stop wasting time on tool maintenance.
Security & compliance
Scalable security
Stay on top of security and compliance with enterprise grade standards.
It's time to trust your data