Collibra

What is Collibra?

Collibra is a company within the Software / Technology category. Collibra is a global leader in data intelligence and governance, providing an enterprise-grade platform to help organizations manage data quality, lineage, and discovery. The company recently expanded into AI governance with its AI Command Center, designed to provide context and control for enterprise AI deployments to mitigate hallucination risks.

When was Collibra founded and where is it based?

Collibra was founded in 2008 and is headquartered in New York, NY.

What is Collibra's Brand Authority Index tier?

Collibra is rated Leader on the Optimly Brand Authority Index, a measure of how well AI models can accurately describe the brand. The exact score is locked for unclaimed profiles.

How accurately do AI models describe Collibra?

AI narrative accuracy for Collibra is Moderate. Significant factual deltas detected. Inconsistent representation across models.

How do AI models position Collibra competitively?

AI models classify Collibra as a Challenger. AI names competitors first.

How visible is Collibra in buyer-intent AI queries?

Collibra appeared in 5 of 6 sampled buyer-intent queries (83%). Collibra is highly discoverable for 'data governance' and 'data catalog' queries, but may lag behind newer entrants for specific 'AI governance' and 'LLM context control' unbranded queries.

What do AI models currently say about Collibra?

AI identifies this brand as an 'Incumbent' in the data governance space with high trust. However, it may lag in describing the move toward AI Governance and 'hallucination tax' mitigation unless it has access to 2024/2025 developments. Key gap: The biggest gap is the shift from 'Data Governance' to 'AI Governance' and the introduction of the 'AI Command Center'; many training-data-heavy descriptions focus solely on its legacy data cataloging features.

How many facts about Collibra are well-documented vs need fixing vs retrieval-dependent?

Of 5 key facts verified about Collibra, 3 are well-documented (likely accurate across AI models), 2 have limited sourcing, and 0 are retrieval-dependent and may be inaccurate without live search.

What is Collibra's biggest AI narrative vulnerability?

The details of the Deasy Labs integration/relationship are the most likely to be hallucinated or oversimplified as it is a very recent addition to the product suite.

What problems does Collibra solve for buyers?

Buyers turn to Collibra for Manual Spreadsheets & Documentation: Managing data definitions, lineage, and ownership manually via Excel spreadsheets and shared documents., Data Governance Consultants: Hiring specialized data management consulting firms to establish governance frameworks and manual catalogs., Internal In-house Build: Building limited, custom metadata repositories or catalogs using open-source tools or internal databases., among 4 documented problem areas.

What questions do buyers ask AI about Collibra?

Buyers evaluating Collibra typically ask AI models about "enterprise data governance platform leaders", "best data catalog software for large companies", "AI command center for enterprise LLMs", and 2 similar queries.

What does Collibra offer?

Collibra's core products are Data Intelligence Cloud, AI Command Center, Data Catalog, Data Lineage, Deasy Labs (Unstructured Data).

How is Collibra priced?

Collibra uses Enterprise/Custom.

Who does Collibra target?

Collibra serves Global 2000 Enterprises, Financial Services, Healthcare, Government..

What differentiates Collibra from competitors?

Collibra provides the 'AI Command Center', a dedicated control plane that uniquely bridges legacy data governance with modern AI hallucination risk management.

Verified public facts

Founded: 2008 (Note: inferred from parametric knowledge; homepage only shows current 2025 leadership) (source: official website)

Headquarters: New York, NY / Brussels, Belgium (Note: inferred from parametric knowledge) (source: official website)

Problems this brand solves

• Manual Spreadsheets & Documentation: Managing data definitions, lineage, and ownership manually via Excel spreadsheets and shared documents.
• Data Governance Consultants: Hiring specialized data management consulting firms to establish governance frameworks and manual catalogs.
• Internal In-house Build: Building limited, custom metadata repositories or catalogs using open-source tools or internal databases.
• Unchecked Data Silos: Ignoring formal governance, leading to data silos, high manual effort for data discovery, and compliance risks.

Buyers search for

• enterprise data governance platform leaders
• best data catalog software for large companies
• AI command center for enterprise LLMs
• Gartner Magic Quadrant data governance 2025
• data lineage tools for financial services

About this profile

This Business Profile is published by Optimly in the Optimly AI Brand Index, a public research dataset showing how AI systems describe brands, categories, and competitors. Optimly AI Visibility analyzes sampled buyer-intent responses, cited sources, and public brand information. The Brand Authority Index summarizes answer presence, narrative accuracy, and owned citations where sufficient evidence is available.

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