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Unstructured

Unstructured

Data Infrastructure and Analytics

San Francisco, CA 30,230 followers

Stop dilly-dallying. Get your data.

About us

Unstructured is the data infrastructure company solving the most critical bottleneck in enterprise AI: making unstructured data accessible to AI applications. Trusted by 87% of the Fortune 1000, we transform the 80–90% of enterprise information trapped in inaccessible formats—PDFs, Word docs, PowerPoints, emails, HTML, and 70+ other file types—into clean, AI-ready data with industry-leading accuracy and performance benchmarks. Companies that try to build and maintain custom data pipelines in-house find it's a significant and ongoing engineering drain. Unstructured replaces that entirely, enabling enterprises to move from experimental workflows to AI applications that execute real business value. Recognized by Forbes AI50, Fast Company's Most Innovative Companies, and CB Insights AI 100, Unstructured is the data foundation that makes enterprise AI work.

Industry
Data Infrastructure and Analytics
Company size
51-200 employees
Headquarters
San Francisco, CA
Type
Privately Held
Founded
2022
Specialties
nlp, natural language processer, data, unstructured, LLM, Large Language Model, AI, RAG, Machine Learning, Open Source, API, Preprocessing Pipeline, Machine Learning Pipeline, Data Pipeline, artificial intelligence, and database

Locations

Employees at Unstructured

Updates

  • 👀 Have you tried Unstructured Transform MCP yet? It's an MCP that drops into the agent you already work in, Claude Code, Cursor, Codex, in about three minutes. After that, parsing stops being something you think about. You point your agent at a file and say what you want in plain English. "Parse this and give me the tables." Transform reads the file, picks the right strategy, handles the OCR and chunking, and hands structured data back in the same session. You don't install a Python package, tune API parameters, or benchmark a parsing strategy. You describe the outcome and it works out the how. It holds up on the files that usually break things too: scanned PDFs, handwriting, dense tables, 65+ formats. Point it at your ugliest file and see what comes back: https://lnkd.in/eHes2eb9

    View organization page for Unstructured

    30,230 followers

    ✨ Introducing Unstructured Transform MCP Document parsing used to be somewhere you went. Open a dashboard, wire up a pipeline, read the docs, and only then does your agent get near a file. We spent years figuring parsing out so you wouldn't have to. And now, your agent doesn't have to either. Unstructured Transform MCP does production-grade document processing that your agents can call as a tool, right inside Claude Code, Cursor, or Codex. It hits a document mid-task, picks the right strategy for that file, parses it, and keeps moving. 15,000 free pages every single month. And if you need more pages, it's only $0.03 per page. 📖 Learn more: https://lnkd.in/eZNAqgTN 🔗 Sign up: https://lnkd.in/ebhGexr9

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  • We’re headed to Austin for Fed Supernova 🤠 Come find Unstructured at the Dual-Use Startup Crawl next Tuesday! We’ll have fun swag and great conversations about getting complex, unstructured data ready for production AI systems. 📍 Austin, TX 📅 Tuesday, August 18 ⏰ 5 - 9 PM See you there!

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  • If you've ever tried to turn a messy PDF, scanned contract, or complex spreadsheet into something an LLM can actually use, you know the drill: pick a partitioning strategy, guess at chunking params, write glue code, run it, get mediocre results, repeat. Half a day gone, and all you have is a script held together with hope. We built Unstructured Transform MCP to fix that. It's an MCP server that lives inside Claude, Codex, Cursor, VS Code, or wherever your agents already work. Describe what you want in plain English → get structured output back → get the actual working code (Python or curl) to productionize it. Not templates. Not pseudocode. Under the hood: - Ingests 60+ formats (PDF, DOCX, PPTX, XLSX, HTML, scanned images) - One pipeline for partitioning, enriching, chunking, and embedding — not four tools to babysit - Outputs JSON, Markdown, HTML, or plain text — ready for your vector store or agent What it unlocks: - Raw files → AI-ready data, no ETL expertise required - Learn partitioners, chunkers & embedders by using your own data - Walk away with sample code you can drop into production The old way to "try" a document AI product means reading docs and guessing at configs. We wanted trying it to be the real work — point to your files, describe what you need, see it run, grab the code, done. Minutes, not half a day. Try it: https://lnkd.in/eHes2eb9 Docs: https://lnkd.in/ekQ_Tvy9

  • Unstructured's Email Notification Channels alert your team the moment a workflow job completes, fails, or hits a snag. No babysitting required. 😎 Configure alerts at the workspace level for broad visibility, or drill down to individual workflows for surgical precision. Setup takes just two API calls: one to create the channel, one to verify it. Let your inbox do the watching so you can focus on what actually matters. ✨ Learn more: https://lnkd.in/eXCdaXDu

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  • 📚 You have a stack of customer order forms, real estate flyers, or care guides. Same layout, different content every time. Normally, extracting the fields you need means writing custom parsing logic for each format. Unstructured Transform MCP skips that 💅 Describe what you want in plain language, and the agent can suggest a schema from the file, draft one from your instructions, or extract against a schema you provide. Working with a batch of similar documents? Ask for one consistent structure, and it keeps that schema steady across every file. Learn more: https://lnkd.in/eNez7JqR

  • Go get some swag!!!

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    30,230 followers

    You asked, we listened 👀🛍️ We’re so excited to finally launch the Unstructured Shop!! 🥳 After hearing how much you all love our swag, we figured it was time to make it a little easier to get your hands on it 😉 This has been a long time coming, and we’re just getting started. We’ll be adding even more items over the next few weeks, so keep an eye out for new drops ✨ Shop now 👉 https://lnkd.in/efjaVGdy

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  • You asked, we listened 👀🛍️ We’re so excited to finally launch the Unstructured Shop!! 🥳 After hearing how much you all love our swag, we figured it was time to make it a little easier to get your hands on it 😉 This has been a long time coming, and we’re just getting started. We’ll be adding even more items over the next few weeks, so keep an eye out for new drops ✨ Shop now 👉 https://lnkd.in/efjaVGdy

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  • Back to Tampa we go! 🌴 We’re excited to join Carahsoft at #DoDIIS26 on Monday. Be sure to stop by Kiosk 2 in the Carahsoft Pavilion to learn how Unstructured helps organizations turn complex documents into clean, AI-ready data. 📍 Kiosk 2 at the Carahsoft Pavilion 📆 August 10 ⏰ 8:00 AM–5:00 PM See you there!

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  • Always love bringing the Unstructured + IBM community together 🐝 🫶 Huge thanks to everyone who joined, asked thoughtful questions, and shared how they’re thinking about agents, MCP, and production AI systems.

    Had such a good time speaking with David Donahue in Boston and NY last week 🙂 Very big thank you to Gil Isaacs David Jones-Gilardi for putting together an awesome event, and huge thanks to the whole team at IBM for having us. Honestly my favorite part is always the follow-ups. When someone comes up after with a really specific question about their own setup cuz you can tell they actually got the nuances and are already thinking about how they'd build on it for their own work. If we talked at either one, thank you for coming in! lets definitely meet more often #AgenticAI #MCP #GenAI #Unstructured

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  • A developer reads your docs once and moves on, but a model reads your tool description every time it decides whether to call you, with a finite context window and no patience for ambiguity. Building Unstructured Transform MCP made us rethink tool descriptions, error messages, response payloads, and even how many tools an agent should have access to. Check out what it takes to build software for the agentic era 👇

    For 20+ years, we've designed APIs for developers. At Unstructured, we've spent the last year designing them for a different consumer entirely — and it's changed how we think about software. The caller isn't a person reading docs anymore. It's a model, reading your tool descriptions as part of its prompt, in the middle of a task, with a finite context window and no patience for ambiguity. Building our Transform MCP server — the skeleton key utility that lets agents like Claude, ChatGPT, Grok, etc. turn any of 60+ document formats into universal structured data they can use for building reliable business automation, RAG for powering virtual assistants, or semantic memory for agents— taught us so many lessons about the emerging new agentic era status quo. Your documentation is now your interface. A tool description isn't reference material a human skims once. It's read on every single call. Every sentence either steers the model correctly or costs a failed job. We render our descriptions from the same source of truth as the code, because drift a human would shrug off will send a model confidently down the wrong path. Error messages are a part of the conversation. When a model hits a limit, the error text is the only remediation path it has. Write it for the reader who can actually act on it. Every token is UX. We learned the hard way that a "complete" response full of base64 payloads isn't generous — it's context pollution. Restraint is the hardest discipline. The temptation is to add a tool for every capability. But every tool is cognitive load in the prompt. The craft is folding new power into vocabulary the model already knows. The deeper realization: most of the world's knowledge still lives in documents — PDFs, decks, contracts, emails. The agentic era won't reach its peak until that dark matter becomes structured, and the interfaces that do it are being designed right now. We're not writing APIs anymore. We're writing instructions for artificial minds.

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