Today, we’re excited to announce that Collibra has acquired Deasy Labs—a pioneer in automated discovery and enrichment of unstructured data. This acquisition marks a significant milestone in our mission to deliver unified governance for all enterprise data—structured and unstructured alike—empowering teams to confidently scale trusted AI.
The challenge: Unstructured data is everywhere—and largely untapped
As enterprises expand their AI initiatives, they face a stark reality: according to Gartner over 80% of their data is unstructured—Documents, transcripts, presentations—and remains invisible to most governance and analytics programs. Manual classification, lack of metadata and fragmented systems leave teams unable to harness this “dark data” effectively.
The result? AI models underperform, compliance gaps widen and time-to-insight slows down. And all the while, governance teams are left with a massive blind spot.
A smarter way to govern unstructured data
Deasy Labs solves this challenge head-on with a powerful platform that:
- Automatically discovers semantic taxonomies from documents and transcripts
- Tags, filters, and enriches files with structured metadata, reducing manual overhead
- Integrates seamlessly with downstream AI systems, from GenAI assistants to search and AI pipelines
Built with a GenAI-native approach, Deasy’s capabilities are uniquely designed to support modern AI architectures, ensuring that unstructured content is governed, contextualized, and ready for use in knowledge retrieval systems (RAG) and AI assistants.
This innovative and powerful approach removes the need for expensive, custom AI pipelines and instead brings automation, scale and intelligence to unstructured data governance.
By integrating Deasy’s technology into the Collibra Platform, we’re making it possible to treat unstructured files as fully governed, reusable data assets—no matter where they live.
Unified governance from input to AI output
With Deasy Labs, Collibra becomes the first and only platform to offer unified governance across structured and unstructured data. This lets you:
- Accelerate AI discovery with smart tagging of file repositories
- Replace manual workflows with an automated semantic layer
- Power enterprise AI search with enriched, high-accuracy metadata
Together, this expands Collibra’s ability to govern the full lifecycle of AI and data use cases—from discovery and enrichment to policy enforcement, risk management and lineage tracking.
Built for scale, trusted by leading industries
Founded by metadata and AI experts (alumni of McKinsey & Company and Y Combinator), Deasy Labs has quickly earned trust among financial services and healthcare organizations. Their technology is purpose-built to work across multi-cloud environments, with a focus on privacy, scalability and cost efficiency.
“At Deasy, we’ve always believed that unstructured data holds the key to unlocking AI’s full potential. Joining Collibra means we can bring that vision to life at scale—embedding trust and context into the very foundation of AI systems. Together, we’re building a smarter, more governable future for enterprise data.” – Leo Platzer, Co-Founder, CTO, Deasy Labs
A shared mission for trusted AI
We’re thrilled to welcome Reece Griffiths, Leo Platzer, Mikko Peiponen and the entire Deasy Labs team to Collibra. Their vision of making unstructured content more accessible and AI-ready aligns perfectly with our belief in Data Confidence™—the idea that every data user should be able to trust, understand and act on the information in front of them.
What’s next
We’ll be integrating Deasy Labs’ capabilities into the Collibra Platform in the coming months. Stay tuned for updates on roadmap and availability.
This is a major step forward—for Collibra, for our customers, and for the future of AI governance. With Deasy Labs’ GenAI-native foundation, we’re making the ungovernable governable—and setting a new standard for how organizations scale trusted AI with confidence.
Learn more by visiting our official press release
