Experimentation that runs in your data warehouse

Run experiments faster. Use your data warehouse to run experiments on governed data without waiting for ETL or extra configuration.

Protect sensitive data. Keep PII and behavioral data inside your governed environment. Full compliance without shipping data to a third party.

Own your metrics. Build metrics from existing tables and views using your own SQL and transformation logic. No vendor templates, no lock-in.

Metric sources come from your data warehouse. Write metric SQL against your own schemas. Reuse the same query logic your data team already trusts for internal reporting.

Reuse metrics across experiments. Define a metric once and apply it to every relevant experiment without duplicating logic or risking inconsistent definitions.

Include guardrail metrics. Track latency, error rate, revenue, and stability alongside your primary metrics so you catch regressions before they ship.

Refresh on a schedule or on demand. Results update daily automatically or instantly when you need them, with no manual query runs.

Track statistical significance automatically. Confidence levels surface as data accumulates so you know exactly when a result is ready to act on.

Inspect the SQL behind any result. Every result links back to the underlying query. Full transparency, no black boxes, full auditability.