
Deasy Labs
Deasy Labs is a context engine that automates the conversion of unstructured content into AI-ready knowledge bases.
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Deasy Labs is a context engine that automates the conversion of unstructured content into AI-ready knowledge bases. It generates domain-specific taxonomies and metadata in seconds with 90%+ classification accuracy, enabling the processing of millions of files in under an hour. The platform performs automated tagging, deduplication, and sensitive data filtering to enrich data quality. It also continuously maintains knowledge bases to prevent knowledge decay, ensuring AI systems remain accurate. Designed for AI teams and developers, particularly those using RAG and Agentic frameworks, it allows users to skip manual subject matter expert involvement by auto-learning taxonomies and optimizes token usage for efficient processing. Pricing is not publicly listed.
Key features
- Auto-generate domain-specific taxonomies and metadata
- Classify unstructured content with over 90% accuracy
- Automated tagging, deduplication, and sensitive data filtering
Pricing
Contact for pricingStarting price: Contact for pricing
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Use cases
- Creating AI-ready knowledge bases from raw files
- Automating metadata governance for RAG systems
- Filtering sensitive data to prevent model exposure
Who it is for
AI teamsDevelopers
Integrations
CollibraQdrantLlamaIndexGoogle CloudSnowflakeBigQuerySlack
Tags
API
How we verified this
Company, pricing, and feature details come from the primary sources below and our latest verification pass. When sources disagree, the official source and the most recent check win.
Last verified 09/10/2026Verified sources: 1
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