After all the hype, demos and hasty deployments, one thing is becoming clear: the biggest constraint on AI success isn’t model performance. It’s data readiness. The challenge, however, is unstructured data makes up 80% of all enterprise data.
To operationalize generative and agentic AI, your enterprise needs more than model power. The solution? Data that’s enriched with context, classification and meaning. Without metadata, unstructured content remains invisible to AI. It’s why metadata is the foundation of unstructured AI. It enables pre-filtering, routing and enhanced embeddings that reduce hallucinations, improve retrieval accuracy and help models perform reliably at scale.
Collibra Unstructured AI operationalizes metadata across your enterprise content. It automates enrichment, applies semantic tagging and delivers high-accuracy search to transform contracts, presentations, transcripts and emails into structured, AI-ready knowledge assets.
A metadata-driven approach enables organizations to fuel RAG and agentic systems with context-aware information, ensuring AI outputs are grounded, explainable and trustworthy.
Unstructured data doesn’t have to hold your models back. With Collibra Unstructured AI, metadata becomes the connective tissue between your content and your intelligence, powering faster, safer, more reliable AI performance.
