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Collibra – Unified Data and AI Governance Platform
About Collibra.com
Collibra is a leading data intelligence platform designed to provide comprehensive governance, cataloging, quality monitoring, and privacy automation for organizations managing complex data landscapes. Founded in 2008 in Brussels, Belgium, and now headquartered in New York with global offices, Collibra empowers businesses to trust their data amid hybrid ecosystems, regulatory pressures, and AI integration challenges. The platform unifies data and AI governance, enabling teams to discover, understand, and utilize data confidently while ensuring compliance and mitigating risks.
At its core, Collibra offers an end-to-end solution that revolutionized data management since its first platform release in 2011. It features data cataloging to make assets easily searchable, governance workflows for stewardship and lineage tracking, and AI-specific tools for model governance and ethical deployment. Quality monitoring automates assessments to maintain data reliability, while privacy features support regulations like GDPR and CCPA through automated controls and impact analysis. This holistic approach serves industries such as financial services, healthcare, insurance, life sciences, retail, and the public sector, facilitating data-driven decision-making.
Collibra's strength lies in its collaborative model, fostering cross-functional teamwork across engineering, product, sales, and operations. With over 1,100 employees worldwide, the company emphasizes curiosity, clarity, and care, operating in a hybrid environment that blends remote flexibility with structured collaboration days. By addressing fragmented governance and rising demands for trusted AI, Collibra transforms data from a liability into a strategic asset, helping organizations scale intelligence initiatives securely and efficiently.
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Key Features
- Data cataloging and governance for asset discovery and stewardship
- AI governance and quality monitoring to ensure trust and compliance
- Privacy automation and lineage tracking for regulatory adherence
Use Cases
- Managing data compliance in financial services and healthcare
- Governing AI models and data quality in hybrid cloud environments
- Enabling trusted data-driven decisions in retail and public sectors