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Unstructured unstructured.io
Research Team Data Active
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Summary GenAI data platform that transforms complex, unstructured and multimodal data into clean, structured, AI-ready inputs for RAG, search, analytics, and LLM applications.
Description Processes 64+ file types with connectors, partitioning, VLM parsing, chunking, enrichment, embedding, and workflow/API endpoints to prepare enterprise data for RAG and GenAI pipelines.
Positioning Data preparation layer for GenAI and RAG
HQ location San Francisco, CA, USA
Founded 2020
Employee range 51-200
Funding stage Series B
Company type Private
Pricing model licensing open source, subscription, usage based
Last updated Jun 21, 2026
Revenue estimate $7.7M ARR estimate (Latka, Jan 2025); company revenue not officially disclosed
Valuation estimate ~$230M reported/estimated Series B valuation
Investments $65M total; $40M Series B announced Mar 2024
Target customers Enterprise AI teams, developers, data teams, companies building RAG and knowledge applications
Key competitors LlamaIndex, LangChain, Upstage, Haystack/deepset, Pinecone, Weaviate, Databricks
Known customers Not publicly disclosed
Segments AI Workflows, AI Developer Tools, Knowledge & RAG, Document AI, AI Governance & Risk, Chatbots, Analytics & BI