Governance and Observability
Tracing, lineage and access control for production AI
Chalk records every query with its plan, timing and result, monitors feature distributions for drift, and applies tag-based access control at the datasource and the individual feature. This automates compliance and reduces risk for regulated industries.
Explore Chalk’s governance and observability
Query tracing
Chalk records every query’s plan, timing and result.
Queryable spans
Explore span data enriched by OpenTelemetry and OpenInference.
Drift detection
Chalk monitors feature distributions and alerts you when one shifts.
Feature lineage
An interactive graph of how a feature is computed and what depends on it.
Role-based data access
Access control, at a whole data source or a single feature level.
Audit trail built in
Who queried what and when, with resource usage, retained and exportable.
We're applying AI and ML at scale across key areas of our energy business with Chalk's platform. It enables high-performance... improves consistency and accelerates development.
Reconstruct what AI saw
When something goes wrong, the question is what the system actually looked at. A trace shows the plan, the timing and the result of every query, and lineage shows where each value came from.
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Most Innovative Companies
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Raising the Talent Bar
How Chalk filled 40+ roles in one quarter without lowering the bar
Introducing Chalk Notebooks
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Explain any production decision
Talk to an engineer about governance at enterprise-scale.