Automate data validation across thousands of tables. No more chasing validation rules, schemas, or access approvals.
Schema drift, nulls, and format errors slip through.
Data changes quietly — errors surface too late.
Most tools scratch the surface — real-world scale gets overwhelming fast.
Too many tables, too many columns, not enough automation.
Quality rules multiply. Ownership is unclear. Access is limited.
You’re on the hook, but the data isn’t in your hands.
Ingest datasets, schemas, or exports from across your stack — no special formats required.
We detect anomalies, schema drift, missing values, formatting issues and more
Actionable insights, ranked issues, and full context, to help you focus on what matters
📐 Schema Drift & Policy Change
Track structural changes as data evolves across systems, rules, and policy updates.
⚠️ Anomaly Detection for Inbound Data
Surface unexpected shifts before they generate 5,000 trouble tickets.
🔄 Cross-Team, Cross-Vendor Dependencies
Map fragile handoffs between teams, pipelines, and shifting requirements.
📊 High-Stakes Data with Limited Access
Audit data you don’t control — without needing full backend permissions.
🧪 In-Production Testing
Validate and monitor live data streams without slowing delivery cycles.
⚠️ Data issues are compounding — as systems scale, small errors become systemic risks.
⏱️ Manual checks can’t keep up — even expert teams are overwhelmed by rule sprawl and schema drift.
🤖 Automation is ready — we’ve built a system designed to handle quality at scale, not just surface issues.
Join early users of the AI-powered system for scalable data quality
