What Deasy Labs does

Deasy Labs (now operating as Unstructured by Collibra) is an AI-native data curation platform that automates the discovery, tagging, filtering, and enrichment of unstructured enterprise content — SharePoint files, email archives, PDFs, and documents in cloud object stores — for use in retrieval-augmented generation (RAG), enterprise search, and agentic AI applications. Its core product is a "context engine" that connects to cloud file storage (Amazon S3, Azure Blob, Google Cloud Storage) and vector databases (Qdrant, PostgreSQL), performs OCR and chunking on raw files, applies LLM- and ML-driven metadata tagging using either customer-hosted open-source models or hosted commercial LLMs, detects sensitive data (SSNs, emails, phone numbers, medical records) with combined AI classification and regex matching, and writes enriched metadata back to source systems so every downstream team and agent inherits the curated version. The platform is offered as a hosted service on GCP or as a private-cloud deployment inside the customer's own environment, addressing regulated and security-sensitive buyers.

The company was founded in 2023 by a team — Reece Griffiths, Leonard Platzer, and Mikko Peiponen — that previously built McKinsey & Company's award-winning AI data quality platform within QuantumBlack. It operated as a small remote-first team (11–50 employees) headquartered in New York, selling primarily through a demo-driven enterprise field-sales motion supplemented by a Python SDK and REST API for self-serve developer access. Pricing is a volume-based tiered subscription defined by monthly tag extractions and total tag storage. Named reference customers include Octopus Legacy (enterprise knowledge management for an in-house AI product) and an individual healthcare AI engineer using the platform for clinical RAG pipelines; the company also benefits from co-marketed webinars with Google Cloud, LlamaIndex, and Qdrant. In July 2025, Deasy Labs was acquired by Collibra, the enterprise data and AI governance leader, integrating the context engine into Collibra's governance and catalog ecosystem as part of a broader AI-governance build-out that also included the Raito acquisition in June 2025.

Name

Deasy Labs

Website

https://deasylabs.com

Company type

Private

Founded year

2023

Operating status

Operating

Headcount range

11–50 employees

Short description

Deasy Labs (now Unstructured by Collibra) provides an AI-powered platform that automatically tags, filters, and enriches unstructured enterprise data — SharePoint files, emails, PDFs — for use in RAG pipelines and agentic AI applications. Founded 2023; acquired by Collibra in July 2025.

Ownership category

akta.pro rank

Product category

AI Data Preparation Software

NAICS

Software Publishers (513210)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Intelligent Document Processing (IDP) & OCR Automation (HDAEAHAC)

akta.pro secondary industry

Document Capture, Scanning, OCR/ICR & Intelligent Document Processing (IDP) (HDAEAGAD)

Keywords

• Unstructured data curation
• Metadata tagging platform
• AI data preparation
• RAG pipeline enrichment
• Enterprise document intelligence

Headquarters

HQ city

New York

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Subscription - Tiered Volume-Based: Pricing is based on the volume of metadata created and stored in the platform, using a tiered subscription model. Each tier is defined by a maximum number of tag extractions per month and total volume of tags that can be stored.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Core offering

Deasy Labs provides an automated software platform that transforms enterprise unstructured data, including SharePoint files, emails, and PDFs, into AI-ready datasets through OCR, chunking, AI-generated taxonomies, metadata tagging, sensitive data detection, and write-back of enriched metadata to source systems or downstream vector databases. The platform supports both a business-team UI and a Python SDK and REST API, and is offered as a hosted service on GCP or as a deploy-your-own private cloud installation for security-sensitive customers.

Product overview

Deasy Labs (now Unstructured by Collibra) offers a unified platform for transforming unstructured data into AI-ready datasets. The core product is the Deasy/Unstructured Platform which provides end-to-end data preparation: connecting to data sources via native Data Connectors (S3, Azure Blob, Google Cloud Storage), processing and chunking content, applying AI-powered metadata tagging through the Taxonomies & Tags module, detecting sensitive data with PII Detection, assembling purpose-built Data Slices, and exporting enriched metadata to Destinations (Qdrant, PostgreSQL, Azure SQL, SharePoint). The Python SDK provides programmatic API access. The platform operates 30x faster than open-source solutions and includes auto-refresh capabilities to maintain datasets over time.

Differentiator

Problem solved

Functional benefit

Products and services

• Deasy/Unstructured by Collibra Platform Core context engine that transforms unstructured enterprise data (SharePoint, emails, PDFs) into AI-ready datasets through automated discovery, OCR, parsing, chunking, AI-powered metadata tagging, sensitive data detection, and write-back of enriched metadata to source systems or downstream vector databases. Used by enterprises to prepare data for RAG, search, and agentic AI applications.
• Deasy Python SDK and REST API Programmatic interface to the Deasy platform providing full tagging, connector, taxonomy, and export functionality for engineers building RAG and AI pipelines.

Quantifiable outcome

• 30x faster data preparation vs open-source solutions
• +3 more outcomes

Named customers2 records

Segments3 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration7 records

AI capability12 records

Feature9 records

Partnerships

One partnership is on record.

• CollibraflagshipStrategic or Co-development Partner · 1 July 2025Collibra, the global leader in enterprise data and AI governance, acquired Deasy Labs in July 2025 as part of its strategic push into AI-driven governance. Deasy's unstructured data discovery capabilities are integrated into Collibra's governance ecosystem, bringing Deasy's context engine into a mature, trusted governance and catalog platform.

Scale indicators4 records

Recent moves6 records

Expansion highlights5 records

Direct peers

• Unstructured.io: Provides an open-source and commercial library/IO platform for ingesting, cleaning, and chunking unstructured documents for LLM and RAG pipelines. Most direct peer — competes with Deasy on the exact same problem of turning enterprise unstructured data into AI-ready inputs, with overlap in connectors to cloud storage and vector databases.
• Rossum: AI-native intelligent document processing platform focused on extracting structured data from business documents (invoices, purchase orders, claims). Comparable because it is purpose-built for unstructured-to-structured document transformation at enterprise scale with AI/LLM under the hood, similar to Deasy's enterprise IDP positioning.

Broad incumbents

• ABBYY Vantage: Long-established OCR and intelligent document processing platform serving enterprises with content capture, classification, and data extraction. A broad incumbent offering broader document automation capabilities; overlaps with Deasy's OCR + IDP + classification pipeline but serves a wider set of content automation use cases beyond AI data prep.
• Microsoft Syntex (SharePoint Premium): Microsoft's AI-powered document processing service tightly integrated into SharePoint and Microsoft 365, offering automated content classification, tagging, and metadata enrichment at enterprise scale. Directly competes with Deasy's SharePoint-centric metadata write-back capability while leveraging native Microsoft 365 distribution.
• Google Document AI: Google Cloud's managed document understanding platform providing OCR, form parsing, and custom document extraction with LLM-based processors. Comparable cloud-native IDP offering; Deasy's Google Cloud partnership webinar indicates ecosystem overlap, but Google offers this bundled with broader Workspace and Cloud infrastructure.
• AWS Textract + Comprehend: AWS managed services for OCR, form/data extraction (Textract), and NLP-based insights (Comprehend) across documents. Broader hyperscaler incumbent competing with Deasy on extracting structured data from unstructured files; benefits from embedded AWS enterprise relationships and bundled pricing.
• Box AI: Enterprise content management platform with native AI capabilities for metadata tagging, summarization, and intelligent document querying on enterprise files. Similar position to SharePoint Syntex as a content+AI incumbent, addressing the same enterprise need for AI-ready metadata over unstructured content.
• Databricks (Unity Catalog + Genie): Unified data and AI platform with growing capabilities for unstructured data processing, embedding, and cataloging through Mosaic AI and Unity Catalog. Represents a broad incumbent that handles both structured and unstructured data prep, posing platform-level competition to standalone tools like Deasy for enterprise AI workflows.

Market position

Strengths5 records

Weaknesses4 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/deasylabs

Revenue estimate

Valuation estimate

Number of profiles

Profiles3 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Deasy Labs