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.

“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 by

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.

  • 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.

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    Anything outdated, incomplete, or off-topic gets filtered out.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

Deasy learns from your content and applies best-in-class metadata at scale. It designs and builds your taxonomy, detects sensitive data, judges every file's quality and relevance against your use case, and adds domain-specific metadata.

3. Slice your data any way you want

With rich metadata in place, slice by relevance, topic, time, quality, or sensitivity to assemble purpose-built datasets for RAG, search, and agents.

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

Write metadata back to your source systems, or ship datasets downstream to your RAG pipelines and retrieval systems.

5. Maintain over time

Deasy continuously monitors your source systems, enriches new content as it lands, and refreshes your data slices so your AI never goes stale.
  • Production-proven

Perfected for enterprise

  • Everyone can use it

    Ul so simple, your business teams will actually use it. APls 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: different tags, different taxonomies, no sharing. Deasy centralizes metadata so every Al project in your organization 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 Grice
CEO, 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, resulting in more reliable answers in a field as demanding as clinical practice, where the margin of error must be minimal.”

Andres Vargas
AI 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 Wiggers
AI editor, TechCrunch

See what a curated, enriched dataset changes

30 minutes. Your unstructured data.