What we actually do
The work, on one page.
Data Quality
Define, monitor, and report quality rules, thresholds, scores, certifications, anomalies, exceptions, and owner accountability.
Observability & Remediation
Detect freshness failures, volume anomalies, schema drift, pipeline failures, cost anomalies, and quality incidents.
Data Contracts
Define producer-consumer agreements for schemas, quality expectations, ownership, SLAs, usage rules, and change controls.
Context Fabric
Connect governed enterprise context across data, AI, policies, controls, workflows, and business meaning.
AI FinOps
Track model usage, cost, budgets, efficiency, and ownership across enterprise AI systems.