Unstructured Technologies
- Company typePrivate
- Founded2022
- HeadquartersRocklin, United States
- Headcount101–250
- GTM typeB2B
- OfferingSoftware
Unstructured Technologies firmographics
Firmographics- Name
- Unstructured Technologies
- Legal name
- Unstructured
- Website
- https://unstructured.io
- Company type
- Private
- Founded year
- 2022
- Operating status
- Operating
- Headcount range
- 101–250 employees
- Ownership category
- akta.pro rank
Unstructured Technologies industry classification
Industry- Product category
- AI Data Infrastructure
- NAICS
- Software Publishers (5132), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518210)
- SIC
- Services-Prepackaged Software (7372)
- akta.pro primary industry
- Document Capture, Scanning, OCR/ICR & Intelligent Document Processing (IDP) (HDAEAGAD)
Keywords
Where Unstructured Technologies is headquartered
LocationHeadquarters
- HQ city
- Rocklin
- HQ country
- United States
- HQ region
- North America
Markets served
Unstructured Technologies business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations
Revenue model
- Pay-As-You-Go Usage: Flat-rate per-page pricing ($0.03/page) for processing any file type or pipeline. No minimums, no maximums, no commitment.
- Business Subscription (Custom Enterprise): Custom enterprise contracts with dedicated instances, VPC deployment, multi-user accounts, role-based access, dedicated technical support, and tailored pricing.
- Marketplace Sales: Procurement via AWS Marketplace and Azure Marketplace listings, allowing enterprise customers to consume Unstructured through cloud vendor billing.
- Government Contracts: Direct government/defense contracts (e.g., $2M AFWERX TACFI, $1M DAF DTO, NAVSEA) and channel sales via Carahsoft for public sector IT procurement.
- Free Tier (Freemium Funnel): 15,000 free pages with no expiration and full feature access, used as a top-of-funnel conversion mechanism into paid usage.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Pay-as-you-go | Free tier: 15,000 free pages, no expiration, full feature access |
| Usage-based | Pay-as-you-go | Pay-As-You-Go: $0.03 per page, flat rate for any file type or pipeline |
| Subscription | Annual | Business: Custom pricing for dedicated instance, VPC, or multi-tenant SaaS with multi-user accounts |
Go-to-market motion5 records
Distribution channels6 records
Marketing channels8 records
Unstructured Technologies product offering
Product offeringCore offering
Unstructured Technologies provides an enterprise ETL (extract, transform, load) platform that ingests unstructured data from documents such as PDFs, HTML, Word, and images, then transforms and outputs it as clean, structured data optimized for retrieval-augmented generation (RAG) and large language model (LLM) applications.
Product overview
Unstructured offers a unified GenAI Data Platform, organized around an Extract / Transform / Load pipeline architecture, that turns messy enterprise documents into clean, structured, AI-ready data. The platform is delivered through three interface options — the Unstructured UI (no-code, pay-as-you-go), the Unstructured API (programmatic, batch-oriented), and an MCP (Model Context Protocol) integration for autonomous AI agents — all sitting on top of a shared connector and enrichment backbone. Core sub-products include the Unstructured VLM Partitioner, High-Res Partitioner, Auto/Fast Partitioner, and Video-to-Text / Speech-to-Text partitioners; the Unstructured Serverless API; the Unstructured Extract module; and the open-source Unstructured ETL library used downstream by OpenWebUI, LlamaIndex, and LangChain. The platform supports 30+ source connectors, 30+ destination connectors (vector DBs, warehouses, lakes, search), 60+ file types, 1,250+ pipelines, and integrates with major LLMs/embedding providers including OpenAI, Anthropic Claude, AWS Bedrock, Google Gemini, NVIDIA NeMo Retriever, IBM watsonx, and Together.ai.
Differentiator
Problem solved
Functional benefit
Products and services
- Unstructured ETL Platform Enterprise ETL platform that ingests unstructured inputs (PDFs, HTML, Word, images) and transforms them into clean, structured, LLM-ready data for use in retrieval-augmented generation (RAG) and other GenAI workflows. Targeted at enterprise data and AI engineering teams building production generative AI applications.
Quantifiable outcome
- 87% of Fortune 1000 reliance
- +5 more outcomes
Companies that use Unstructured Technologies
Customer profileNamed customers28 records
Segments8 records
Ideal customer profiles2 records
Unstructured Technologies technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration59 records
AI capability15 records
Feature9 records
Unstructured Technologies partnerships and signals
Strategic signalPartnerships
21 partnerships are on record, tiered flagship and core.
- TeradataflagshipStrategic technology partnership embedding Unstructured's data processing platform natively within Teradata Enterprise Vector Store. The integration enables enterprises to automatically ingest, process, and transform unstructured content (documents, PDFs, images, video, audio) into AI-ready data without external pipelines, with availability to eligible Teradata customers starting April 2026. Supports hybrid deployment across AWS, Azure, GCP, on-premises, and air-gapped environments. Targets regulated industries including financial services, healthcare, defense, and government where ~80% of enterprise data sits in unstructured formats.
- AFWERX / U.S. Air Force Test CentercoreGovernment/defense R&D partnership under a $2M TACFI contract to develop advanced multimodal data pipelines and test & evaluation frameworks for generative AI applications in military testing.
- U.S. Department of the Air Force (DAF DTO)coreGovernment contract for $1M to deliver an AI data layer for scalable, cost-controlled GenAI at the tactical edge.
- CarahsoftcorePublic sector IT contracts channel partner. Unstructured and Carahsoft partnered to transform public sector data management, making Unstructured's platform available to US federal, state, and local government agencies through Carahsoft's contract vehicles.
- IBMcoreCloud data integration partner. Unstructured enhances the IBM watsonx ecosystem by accelerating time-to-value and making complex data clean and structured. Supports IBM embedding models (Granite, Slate, multilingual E5) and integrates with IBM watsonx.data as a destination.
- DatabrickscoreCloud data integration partner. Unstructured pre-processes data into Databricks Delta Tables and Databricks Volumes as destination connectors, enabling customers to feed RAG and GenAI pipelines directly from Databricks.
- NVIDIAcoreCloud data integration partner. Unstructured integrates with NVIDIA NeMo Retriever extraction models (NV-Ingest) for scalable document processing pipelines delivering RAG-ready output to Elasticsearch.
- SnowflakecoreCloud data integration partner. Unstructured delivers data into Snowflake as a destination connector, enabling AI/ML workloads on structured Snowflake tables.
- MongoDBcoreCloud data integration partner. Unstructured loads processed data into MongoDB Atlas as a destination connector.
- PineconecoreCloud data integration partner for vector storage. Unstructured pre-processes embeddings that are loaded into Pinecone's vector database for similarity search and RAG retrieval.
- WeaviatecoreCloud data integration partner for vector storage. Unstructured supports Weaviate as a destination connector for AI-ready vector data.
- ElasticcoreCloud data integration partner. Unstructured delivers partitioned and enriched data into Elasticsearch as a destination, enabling vector search and RAG queries.
- PostgreSQLcoreCloud data integration partner. Unstructured supports PostgreSQL as a destination connector for structured output delivery.
- RediscoreCloud data integration partner. Unstructured supports Redis as a destination connector for in-memory data delivery.
- LangChaincoreTechnology integration embedded in Teradata Enterprise Vector Store for autonomous workflow orchestration; also deep integration across Unstructured's own product ecosystem for RAG and agentic AI pipelines.
- NVIDIA NeMo RetrievercoreTechnical integration where Unstructured Platform combines with NVIDIA NeMo Retriever extraction models and Elasticsearch to deliver scalable RAG pipelines.
- Anthropic (Claude)coreModel partner. Unstructured supports Anthropic Claude models (Claude Sonnet-4, Claude Opus-4.5/4.6) as enrichment and partitioning models.
- OpenAIcoreModel partner. Unstructured supports OpenAI models (GPT-5-mini, GPT-5.2, GPT-5.4, GPT-5-mini, Azure OpenAI embeddings) as partitioning and embedding models.
- Amazon BedrockcoreIntegration partner. Unstructured supports Amazon Bedrock models including Titan Embeddings, Cohere Embed, and Titan Multimodal Embeddings.
- Vertex AIcoreIntegration partner. Unstructured supports Vertex AI embeddings for embedding generation workflows.
- Azure AI StudiocoreIntegration partner. Unstructured supports Azure OpenAI text-embedding-3-small/large and Ada 002 embedding models.
Scale indicators8 records
Unstructured Technologies competitors and assessment
Company assessmentDirect peers
- Reducto: Reducto is a direct competitor offering a document parsing/ingestion API for unstructured enterprise data into LLMs and RAG pipelines. It is explicitly benchmarked head-to-head against Unstructured on the SCORE benchmark, serving the same AI data preparation use case.
- LlamaParse (by LlamaIndex): LlamaParse is LlamaIndex's native document parsing service, which is also benchmarked against Unstructured on document parsing accuracy. Both target developers building RAG/agentic AI applications on enterprise documents.
- Docling (by IBM): Docling is an open-source document parsing library developed by IBM Research, benchmarked alongside Unstructured on the SCORE benchmark. It targets the same RAG and GenAI data preparation use case with open-source distribution.
- Rossum: Rossum is an enterprise document AI platform specializing in intelligent document processing for invoices, contracts, and forms. It competes with Unstructured in structured-data extraction from enterprise documents, particularly in finance and shared services.
- Hyperscience: Hyperscience is an enterprise intelligent document processing platform that turns unstructured content into structured data for financial services, insurance, and government — directly comparable use case and buyer profile to Unstructured's regulated-industry segments.
Broad incumbents
- Google Document AI: Google Document AI is a hyperscaler-scale document understanding service offering OCR, form parsing, and specialized processors. It competes broadly with Unstructured across enterprise customers and integrates into the Vertex AI stack that Unstructured also connects to.
- Azure AI Document Intelligence: Microsoft's Azure AI Document Intelligence (formerly Form Recognizer) offers prebuilt and custom document models for enterprise data extraction. It competes with Unstructured across Microsoft-enterprise buyers and is offered through the same Azure Marketplace where Unstructured is also listed.
- Amazon Textract: Amazon Textract is AWS's OCR and document extraction service that competes broadly with Unstructured's partitioning and enrichment for AWS-native customers. Listed alongside Unstructured on AWS Marketplace as a competing procurement option.
- ABBYY: ABBYY is a long-established enterprise OCR and document AI vendor serving finance, legal, and government. It overlaps with Unstructured on document parsing and extraction for regulated enterprise use cases.
- NVIDIA (NeMo Retriever / NV-Ingest): NVIDIA's NeMo Retriever and NV-Ingest extraction models are document parsing pipelines explicitly benchmarked against Unstructured. As a hardware and platform incumbent, NVIDIA can bundle document AI capabilities into its GPU and AI Enterprise stack.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat7 records
Key risks6 records
Key highlights7 records
Customer concentration
Unstructured Technologies social profiles
Digital presenceUnstructured Technologies compliance and trust
Trust signalCompliance5 records
Unstructured Technologies financial estimates
Financial estimateRevenue estimate
Valuation estimate
Unstructured Technologies leadership team
Management profileNumber of profiles
Unstructured Technologies funding detail
Funding detailFunding overview
Funding rounds3 records
Investors14 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Unstructured Technologies M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Unstructured Technologies
What does Unstructured Technologies do?
Unstructured Technologies provides an enterprise ETL (extract, transform, load) platform that ingests unstructured data from documents such as PDFs, HTML, Word, and images, then transforms and outputs it as clean, structured data optimized for retrieval-augmented generation (RAG) and large language model (LLM) applications.
Is Unstructured Technologies a public or private company?
Unstructured Technologies is a private company. It is classified as venture growth investor backed and is currently operating.
When was Unstructured Technologies founded?
Unstructured Technologies was founded in 2022. It employs 101 to 250 people.
Where is Unstructured Technologies based?
Unstructured Technologies is headquartered in Rocklin, United States, in the North America region.
How does Unstructured Technologies make money?
Five revenue lines are on record. Pay-As-You-Go Usage is the primary driver. The others are business Subscription (Custom Enterprise), marketplace Sales, government Contracts and free Tier (Freemium Funnel).
Who are Unstructured Technologies's main competitors?
Direct peers on record are Reducto, LlamaParse (by LlamaIndex), Docling (by IBM), Rossum and Hyperscience. Broad incumbents are Google Document AI, Azure AI Document Intelligence, Amazon Textract, ABBYY and NVIDIA (NeMo Retriever / NV-Ingest).
Does Unstructured Technologies have an API?
Yes. Unstructured offers a public REST API for batch-processing files and data in remote locations, used to extract, partition, enrich, chunk, and embed unstructured data for GenAI pipelines. The API is documented at docs.unstructured.io and provides programmatic control over pipelines. The platform also exposes the same capabilities via an MCP (Model Context Protocol) integration so AI agents can invoke Unstructured directly, and an open-source UNS-MCP mirror exists on GitHub. Serverless API was introduced in 2024 as the simplest, fastest, and most cost-effective way to render enterprise data AI-ready. Authentication is documented in the developer portal. Developer documentation is at docs.unstructured.io/welcome.
What industry is Unstructured Technologies in?
Unstructured Technologies's product category is AI Data Infrastructure. Its primary akta.pro industry code is HDAEAGAD, Document Capture, Scanning, OCR/ICR & Intelligent Document Processing (IDP). Its NAICS code is 5132 and its SIC code is 7372.