Validate
Define quality expectations using our YAML framework or let our AI infer rules from your schema history. Rules run on every run, automatically.
Stop trusting gut feeling. Valido runs silent validation inside your warehouse, surfacing anomalies and drift before they impact your business. See the numbers that actually hold up.
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A three-step workflow that turns data quality from a reactive fire drill into a proactive, automated system.
Define quality expectations using our YAML framework or let our AI infer rules from your schema history. Rules run on every run, automatically.
Watch for drift, completeness drops, or statistical anomalies in real-time. Our adaptive baselines ensure you only see what matters.
Get AI-assisted root-cause analysis that traces the anomaly back to the specific source or transformation step. Fix it fast.
From dashboard to action, the Valido interface keeps your team aligned on data health.
Real-time health scoring
Historical drift tracking
Instant upstream warnings
Automated impact analysis
"Valido moved data quality from a debate to a feature. The anomaly detection saved us from a critical reporting error last quarter that would have cost us 5 figures."
Jane Doe
Head of Data, SaaSify
Link Snowflake, BigQuery, dbt, or Airflow with a one-click integration.
Define expectations with YAML or let our AI suggest them automatically.
Receive automated Slack alerts and live quality dashboards.
Detect when source tables change structure without warning.
Ensure 100% of expected rows are present and accounted for.
Flag potential data pollution early in the pipeline.
Get notified on your team channel the moment something breaks.
Automatically trace bad data back to the specific upstream table.
Generate audit reports for GDPR, CCPA, and internal audits.
Rows validated daily
Anomaly detection rate
Alert latency
Data source connectors
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