The right slice of your
organization’s knowledge,
ready for AI in 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
Deasy Dataset
SafeRelevantHigh qualityEnriched

“Nobody was directly solving the issue of matching every generative AI use case with the best possible set of data. Deasy has.”

Deasy Labs is brought to you byCollibra
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Most AI projects skip
the most important step

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.

Curate before you compute

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.

Deasy Dataset curated into safe, relevant, high-quality, enriched data ready for AI

Save hundreds of hours

Turn three months of data preparation into three minutes

Get better AI results

Your AI retrieves from high-quality, relevant knowledge — not the wild west of your company’s files

Protect sensitive data

Deasy automatically detects sensitive data at petabyte scale, keeping it out of your AI

Keep answers reliable over time

Every Deasy dataset is set to auto-refresh so your AI never goes stale

Enrich at the source

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.

SharePoint documents enriched by Deasy and made available to teams and AI

What makes a Deasy Dataset

Sensitive data removed

Every file screened. Nothing private, regulated, or confidential gets through.

Relevant files only

Anything outdated, incomplete, or off-topic gets filtered out. Only what matters for what you’re building.

Enriched with metadata

Deasy adds metadata contextualized to what you’re building so your AI finds exactly what it needs, every time.

Start to finish

See how Deasy Labs works

1. Connect to your data sources

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.

2. Tag thousands of files per minute

3. Slice your data any way you want

4. Deliver AI-ready datasets wherever they need to go

5. Maintain over time

Deasy Dataset
SafeRelevantHigh qualityEnriched
OCR, parse, chunk
Production-proven

Perfected for enterprise

Everyone can use it

UI so simple, your business teams will actually use it. APIs and a Python SK for your engineers.

Petabyte scale

Transform enormous data volumes without anything breaking.

Your cloud, your control

Deploy in your own environment. Your data never leaves.

One metadata standard across every team

Without Deasy, every team rebuilds the same enrichment pipeline from scratch. Deasy centralizes metadata so every AI project starts from the same foundation.

Full governance

One place to manage taxonomy, tag definitions, owners, and accuracy across every unstructured system.

Connect to anything

Plug in your own models and LLM endpoints. Deasy works with what you’ve already built.

Word of mouth

What people are saying about Deasy Labs

“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.”

Sam GriceCEO, Octopus Legacy

“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.”

Andres VargasAI engineer in healthcare

“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.”

Kyle WiggersAI editor, TechCrunch
Field guide about cutting AI costs by 50 to 70 percent
Resource

How to cut AI costs by 50-
70% with data curation

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 guide

See what a curated, enriched dataset changes

30 minutes. Your unstructured data.

See it on my data →