Save hundreds of hours
Turn three months of data preparation into three minutes
Deasy turns just about any unstructured data — your company’s enormous SharePoint, decades of emails, a million PDFs — into the perfect dataset for whatever your team is actually building.
Book a demo“Nobody was directly solving the issue of matching every generative AI use case with the best possible set of data. Deasy has.”

Most teams have built solid retrieval pipelines and agent frameworks, but still have no good way to prepare the data that powers any of it. Is this file relevant? Is it safe? Is it high quality? Has it been enriched with metadata so AI can find the right answer? Without that, even the best systems underdeliver.
In minutes, Deasy maps your data, removes what shouldn’t be there, and enriches everything with the context AI needs. Whatever your system reaches for, the right answer is already there.

Turn three months of data preparation into three minutes
Your AI retrieves from high-quality, relevant knowledge — not the wild west of your company’s files
Deasy automatically detects sensitive data at petabyte scale, keeping it out of your AI
Every Deasy dataset is set to auto-refresh so your AI never goes stale
Deasy writes metadata directly back to where your data lives — so every team and every agent that touches your data gets the enriched version, every time.

Every file screened. Nothing private, regulated, or confidential gets through.
Anything outdated, incomplete, or off-topic gets filtered out. Only what matters for what you’re building.
Deasy adds metadata contextualized to what you’re building so your AI finds exactly what it needs, every time.
Deasy plugs into raw files in cloud sources like SharePoint and S3, then OCRs, parses, and chunks every file — normalizing your unstructured content in one pass.
UI so simple, your business teams will actually use it. APIs and a Python SK for your engineers.
Transform enormous data volumes without anything breaking.
Deploy in your own environment. Your data never leaves.
Without Deasy, every team rebuilds the same enrichment pipeline from scratch. Deasy centralizes metadata so every AI project starts from the same foundation.
One place to manage taxonomy, tag definitions, owners, and accuracy across every unstructured system.
Plug in your own models and LLM endpoints. Deasy works with what you’ve already built.
“Deasy Labs’ metadata tagging solution for unstructured data has profoundly transformed our enterprise’s knowledge management landscape. Their speed has allowed us to test the viability of our in-house AI product far quicker than expected, with their data preparation capability playing a critical step in the product workflow.”
“Since I started using the Deasy platform, extracting metadata from my medical texts has become incredibly straightforward, even with a high volume of data. With just a few clicks, the tool suggests tags or allows me to create my own, greatly streamlining my workflow. Moreover, the ability to obtain high-value metadata has strengthened the robustness of my RAG pipelines.”
“What didn’t exist was a good approach for measuring data quality and relevance for unstructured data … Nobody was directly solving the issue of matching every generative AI use case with the ‘best’ possible set of data. Deasy Labs has developed novel approaches in this domain.”

If your retrieval pipeline is pulling irrelevant documents, outdated files or entire contracts when you only needed one clause, you’re paying for noise, and at enterprise scale.
Read the field guide30 minutes. Your unstructured data.