The acquisition unlocks automated transformation of unstructured content material—akin to paperwork and transcripts—into structured, enriched knowledge property, accelerating trusted AI initiatives at enterprise scale.
Collibra, the chief in unified governance for knowledge and AI, introduced the acquisition of Deasy Labs, a pioneering startup specializing in automated discovery and enrichment of unstructured knowledge. With this acquisition, Collibra turns into the primary and solely platform to ship unified governance throughout each structured and unstructured knowledge, offering a trusted basis for AI, analytics and regulatory initiatives.
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The acquisition of Deasy Labs enhances Collibra’s capabilities to tag, filter and enrich unstructured recordsdata akin to contracts, transcripts, stories, and emails for downstream use in AI and analytics. Collibra clients will be capable of classify, filter and enrich unstructured recordsdata with minimal human enter, utilizing auto-discovered taxonomies to drive smarter AI search, extra correct GenAI responses and higher compliance throughout their enterprise knowledge property.
The acquisition of Deasy Labs is a leap ahead for the market and Collibra’s imaginative and prescient of unified knowledge and AI governance.
“As organizations scale their use of AI, the flexibility to unlock the worth of unstructured knowledge turns into crucial,” stated Felix Van de Maele, Collibra Founder and CEO. “Deasy Labs provides us the flexibility to tag, filter and enrich this darkish knowledge at scale—routinely turning unstructured recordsdata into structured, significant and trusted knowledge property prepared for AI. It is a leap ahead for the business, and for Collibra’s imaginative and prescient of unified knowledge and AI governance.”
Unlocking the worth of unstructured knowledge
Unstructured knowledge, paperwork akin to PDFs, emails and transcripts, make up over 90% of enterprise knowledge, however are largely left unmanaged and unused. Deasy Labs’ expertise connects to those knowledge sources, routinely discovers significant taxonomies, enriches recordsdata with structured metadata, and seamlessly integrates this context into downstream functions, akin to GenAI assistants, semantic search and AI-driven workflows.
Based in 2023 by a group of AI and metadata veterans from McKinsey & Firm, and a part of the Y Combinator Program in 2023, Deasy Labs has constructed a developer-friendly platform trusted within the monetary companies and healthcare sector. Its automated enrichment layer removes the necessity for costly AI pipelines or handbook labeling, accelerating time to perception and lowering operational value.
“Our mission at Deasy Labs has all the time been to assist organizations make sense of the huge quantity of unstructured content material they generate on daily basis,” stated Reece Griffiths, co-founder of Deasy Labs. “By becoming a member of Collibra, we are able to now carry that mission to life at scale—integrating deep semantic enrichment right into a platform that’s already trusted by the world’s main knowledge groups.”
Integration into the Collibra Platform
Deasy Labs’ capabilities can be built-in into the Collibra Platform over the approaching months.
This integration will enable clients to leverage:
- Good Discovery: Quickly scan file repositories and establish related content material utilizing semantic tagging, enabling quicker AI and AI use case supply.
- Automated Semantic Layer: Exchange handbook tagging and taxonomy work with automated enrichment workflows that construction unstructured knowledge and create business-relevant metadata.
- Excessive-Accuracy Enterprise AI Search: Maintain efficiency of enterprise information administration and AI instruments at a lot bigger knowledge volumes by enriching unstructured content material with contextual metadata.
This unified method will allow Collibra clients to control the whole lifecycle of AI use circumstances—from knowledge discovery and enrichment to coverage enforcement and lineage monitoring—throughout each structured and unstructured sources.
“Unifying governance throughout all structured and unstructured knowledge into trusted, ruled knowledge property is now not optionally available,” stated Sanjeev Mohan, Principal at SanjMo and former Gartner Analyst. “Metadata-driven automation is vital to unlocking the hidden worth in paperwork, emails, and transcripts because it brings much-needed visibility and management to the least ruled elements of the info property. By bringing unstructured knowledge into the fold of unified governance, Collibra is taking a crucial step towards operationalizing AI at scale with confidence.”
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