Collibra

Collibra is a software company that provides data governance and data management solutions. The company operates as a provider of enterprise software for data governance, data quality, AI governance and related services. Headquarters country: United States. Regions of operation include North America and Europe, as indicated by customer references and events in cities such as San Francisco, Paris, Munich and Rotterdam.

Services and Capabilities

• Data governance platform: central cataloging of data assets, business glossary management, ownership and policy definition delivered as software and metadata stores.
• AI governance and productionization: tools and processes to catalog, assess and monitor AI systems, track model lineage and usage, and apply lifecycle controls for models and AI agents.
• Data quality and observability: automated monitoring, alerting and remediation workflows for data health, including scheduled checks, root-cause analysis and schema change detection.
• Data lineage and provenance: visual and programmatic tracing of data transformations, dependencies and downstream impacts to support troubleshooting and regulatory evidence.
• Unstructured data preparation for AI: automated mapping, filtering and enrichment of emails, PDFs, contracts and SharePoint content to create reusable datasets for AI projects, including sensitive-content detection and masking at scale.
• Access and privacy controls: centralized management of masking, access provisioning and policy enforcement across multiple data sources to support compliance.

Industry Focus

• Banking and finance: governance and compliance workflows, modernization of the chief data officer function, and controls for regulated AI and data usage (example: MUFG participation in dialogues).
• Retail and consumer services: data product architecture and governance for customer and operational data (examples include customer references such as McDonald's and SAP deployments).
• Enterprise technology and software providers: integration with cloud platforms and data stack partners to support analytics and data product delivery.

Technology and Delivery Approach

Work is executed through a software platform that integrates metadata management, catalogs and governance controls with operational data sources. Recurring technical themes include metadata-driven integration with cloud providers and data platforms (noted partnerships with AWS, Google and Snowflake), automated monitoring and remediation pipelines for data quality, lineage visualization for traceability, and tooling to detect and redact sensitive content in unstructured data at scale. Delivery includes software components, dashboards and automated processes to enforce policies, trace assets and provide audit evidence across heterogeneous environments; partnerships with systems integrators are used to support deployments and integrations.