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Unstructured

https://unstructured.io Research Team Data
Active

GenAI data platform that transforms complex, unstructured and multimodal data into clean, structured, AI-ready inputs for RAG, search, analytics, and LLM applications.

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

Key facts

HQ location
San Francisco, CA, USA
Founded
2020
Employee range
51-200 (51-200)
Funding stage
Series B
Company type
Private (Private / open-source commercial)
Pricing model
Licensing Open Source Subscription Usage Based (Open-source plus API/SaaS usage and enterprise plans)
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

Classification (raw research text)

Core focus
AI data ingestion and preprocessing
Core industry
AI Data Infrastructure
Core category
RAG data preparation platform

Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.

Attribute breakdown

  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • System / API Integration Secondary feature
  • Retrieval-Augmented Generation Primary focus
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Primary focus
  • Document AI / Document Processing Primary focus
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Risk / Compliance Secondary feature
  • Text Chatbots / Conversational Assistants Secondary feature
  • Analytics / BI / Decision Intelligence Secondary feature
Show all 32 attributes
  • AI Workflows Secondary feature
  • AI Automation / Business Process Automation Secondary feature
  • AI Fine-tuning / Custom Model Training Not emphasized
  • Agent Builder / Agent Configuration Not emphasized
  • Multi-agent Orchestration / Runtime Not emphasized
  • System / API Integration Secondary feature
  • Prompt Management / Prompt Engineering Not emphasized
  • Retrieval-Augmented Generation Primary focus
  • Graph RAG / Knowledge Graph Retrieval Not emphasized
  • Enterprise Search / Knowledge Management Secondary feature
  • AI / LLM Data Pipeline Primary focus
  • Document AI / Document Processing Primary focus
  • Model Deployment / Inference Infrastructure Not emphasized
  • Traditional Machine Learning Not emphasized
  • AI Quality Assurance / LLM Evaluation Not emphasized
  • AI Observability / Monitoring Not emphasized
  • AI Security / Guardrails Not emphasized
  • Data Privacy / PII / Confidential AI Secondary feature
  • AI Governance / Policy Management Secondary feature
  • AI Risk / Compliance Secondary feature
  • AI Asset Inventory / Model Registry Not emphasized
  • Human-in-the-Loop Review / Feedback Not emphasized
  • Call Transcription / Speech-to-Text Data Capture Not emphasized
  • Conversation Intelligence / Speech Analytics Not emphasized
  • Text Chatbots / Conversational Assistants Secondary feature
  • Voice AI Agents Not emphasized
  • Voice Infrastructure / STT / TTS Not emphasized
  • AI for Customer Experience / Support Automation Not emphasized
  • Sales / Revenue Intelligence Not emphasized
  • Analytics / BI / Decision Intelligence Secondary feature
  • Enterprise App / Internal Tool Builder Not emphasized
  • Vertical-Specific AI Not emphasized