unstructured-data
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DataEQ turns customer complaints into a better to-do list
The company formerly known as BrandsEye pays people to teach its AI what customers mean. For banks, insurers and service teams, the payoff is knowing which complaint needs action - and what keeps causing it.
Lepide Turns Permission Sprawl Into a Shorter To-Do List
The British cybersecurity company spent two decades turning raw change logs into answers. Now it is betting that permissions cleanup - not another wall of alerts - is what lean security teams will pay for.
Cloudian Survived a Telco Crash. Now It Wants to Feed AI Without Shipping Your Data Away
Cloudian turned the wreckage of a mobile-messaging company into an enterprise storage business. Its newest wager is that the AI race will be won as much in the data room as in the GPU rack.
Ohalo Found 19 Million Files in a Bank's Blind Spot - Here Is the Data-Governance Playbook Enterprises Can Copy
Ohalo built Data X-Ray for the files that ordinary catalogs and perimeter security struggle to understand. Its most useful lesson came when an early public-sector test missed sensitive details - and human feedback became part of the product, not an embarrassment to bury.
The Startup Teaching AI to Read a Doctor's Bad Handwriting
Most healthcare data is a mess of faxes and scanned charts nobody can read at scale. Keebler Health built AI to read all of it - and to prove exactly where it found each diagnosis.
Captain
Captain is a managed retrieval-augmented generation (RAG) platform out of Y Combinator's Winter 2026 batch. It lets developers connect data sources - S3, SharePoint, Google Drive, Slack, Notion and more - with a couple of API calls, then handles the full pipeline behind the scenes: OCR, chunking, embedding, vector storage, hybrid search, and re-ranking. The company claims roughly 95% retrieval accuracy on a published benchmark versus about 78% for hand-built pipelines, and positions itself as 'the Snowflake for unstructured data.' In March 2026 it added Odyssey, a proprietary private-market intelligence dataset queryable through the same API.
Invofox
Invofox is an AI document-processing platform that turns invoices, receipts, payslips, and shipping papers into clean, structured JSON through a single API. Built for software companies rather than end users, it pairs high-accuracy OCR and machine-learning models with human-in-the-loop verification so fintechs, accounting platforms, lenders, and logistics operators can automate payments and bookkeeping without anyone re-typing a document. Founded by three Spanish mathematics and computer-science graduates, backed by Y Combinator (S22), and now processing tens of millions of documents a year.
Unsiloed AI
Unsiloed AI builds an API that turns messy, multimodal documents - PDFs, scans, spreadsheets, charts and images - into structured JSON and LLM-ready Markdown. Founded by IIT Kharagpur alumni Aman Mishra and Adnan Abbas and backed by Y Combinator (Fall 2025), the company uses proprietary dual-stream vision models to parse, extract and split documents at scale, and ranks #1 on the public olmOCR-Bench, ahead of models from OpenAI, Anthropic and Google.
73 Strings
73 Strings is an AI-powered financial intelligence platform for the private capital industry. Founded in 2020, it automates data extraction, portfolio monitoring, and fair-value estimation for alternative asset managers - the manual, fragmented "middle-office" work behind private equity, private credit, venture capital, growth equity, and infrastructure funds. Its Extract, Monitor, and Value modules structure unstructured documents, track portfolio performance in real time, and produce valuations reportedly up to 10x faster at roughly half the cost. The company serves institutions representing close to $10 trillion in assets and is backed by Goldman Sachs Alternatives, Blackstone, Fidelity International Strategic Ventures, Hamilton Lane, and Golub Capital.
Autonomize AI
Autonomize AI is an Austin-based healthcare technology company building an AI-native platform - the 'Autonomize Intelligence Platform' - that embeds governed, agentic AI directly into clinical and operational workflows for health plans, providers, and life sciences organizations. Founded in 2022 by Ganesh Padmanabhan and Kris Nair, the company turns mountains of unstructured healthcare data into structured intelligence, deploying pre-built AI agents and copilots for tasks like utilization review, prior authorization, care management, and clinical chart review. It says its systems save roughly 36,000 clinical hours per month across Fortune 100 healthcare customers, and it raised a $28 million Series A in June 2025 led by Valtruis, The Cigna Group Ventures, and Tau Ventures.
Hyperbots Inc.
Hyperbots is an agentic AI company building finance and accounting co-pilots for mid-market enterprises. Its platform automates core workflows - procure-to-pay, order-to-cash, expense management and analytics - by converting unstructured financial documents into structured, ERP-ready data. Founded in 2023 and headquartered in Dover, Delaware with engineering in Bengaluru, the company reports 99.8% document accuracy and up to 80% straight-through processing, and in 2025 raised a $6.5M Series A co-led by Arkam Ventures and Athera Venture Partners to expand in the U.S. and launch HyperLM, a large language model trained specifically on finance data.
Nomic AI
Nomic AI is a New York-based artificial intelligence company building tools to make large, unstructured datasets and AI models understandable and usable by everyone. It is best known for Atlas, a browser-based platform for visualizing and interacting with massive datasets; the open-source Nomic Embed family of text, code, and multimodal embedding models; and GPT4All, an ecosystem for running large language models privately on everyday hardware. Since 2025 the company has focused its platform on the architecture, engineering, and construction (AEC) sector, applying its embedding and retrieval technology to drawing review, code compliance, and document-heavy construction workflows.
Parabola
Parabola is a San Francisco-based no-code data automation platform that lets operations and finance teams turn messy, recurring, spreadsheet-driven processes into transparent, auditable AI-powered workflows. Users describe a process in plain language or drag-and-drop building blocks, and Parabola builds a documented agent that pulls data from PDFs, emails, spreadsheets and APIs, cleans and transforms it, and runs on a schedule. Founded by Alex Yaseen and backed by OpenView, Matrix, and Thrive Capital, the company focuses on ecommerce, retail, CPG, freight and logistics teams that need to automate work that traditionally required an engineer.
Reducto
Reducto is a San Francisco AI company that turns messy, complex documents into clean, LLM-ready data. Its agentic document platform pairs traditional computer vision with vision-language models and a multi-pass 'Agentic OCR' correction loop to parse, split, extract, classify, and even edit PDFs and other formats through a developer API. Founded in 2023 by MIT grads Adit Abraham and Raunak Chowdhuri, Reducto has processed billions of pages for AI teams and enterprises in finance, healthcare, legal, insurance, and compliance, and raised $108M total including a $75M Series B led by Andreessen Horowitz in October 2025.
Tonic.ai
Tonic.ai builds synthetic data infrastructure that lets engineering and AI teams work with realistic, privacy-safe stand-ins for production data. Its platform de-identifies, masks, subsets, and synthesizes both structured databases and unstructured text so developers can test software, train models, and feed LLM and RAG pipelines without exposing sensitive information. Founded in 2018 by a team out of Palantir and Tableau, the San Francisco company serves enterprises across finance, healthcare, and technology and has raised roughly $56M in venture funding.
dMetrics
dMetrics is an AI company that builds Minsky, a natural-language-processing platform letting non-technical subject-matter experts create their own AI models to read, track, and analyze huge volumes of messy text - without writing code. Founded by two MIT machine-learning PhDs, the company started by decoding healthcare conversations across social media and now serves financial, pharmaceutical, and public-sector customers, including a five-year, $99.5M U.S. Department of Defense production contract for open-source threat analysis.
Nomad Data
Nomad Data is a New York-based AI platform that helps companies find, buy, and understand external data. Founded in 2020 by Brad Schneider and Justin Manikas, it began as a marketplace matching data buyers to a network of thousands of providers - buyers submit a use case, and providers respond with data that can actually solve it. The platform has since expanded into an AI layer for reading unstructured documents (its Doc Chat product) and managing data relationships, serving hedge funds, private equity, insurance, and asset-management firms that spend heavily on third-party data.
Roe AI
Roe AI builds agentic AI that investigates fraud, disputes, and anti-money-laundering (AML) cases end to end - reading documents, images, websites, and structured data to produce cited evidence and audit-ready dispositions. Founded in 2024 by ex-Snowflake and ex-Meta engineers and backed by Gradient Ventures and Y Combinator, the company started as an AI-powered data warehouse for querying unstructured data with SQL and sharpened into a financial-crime investigation platform used by teams at Affirm, eBay, and a Global Systemically Important Bank.
Pulse
Pulse is a San Francisco AI company building production-grade document extraction for enterprises. Its vision-language models and OCR pipeline turn messy PDFs, scans, and spreadsheets into clean, structured, LLM-ready data - powering RAG, automation, and analytics across finance, healthcare, insurance, legal, and supply chain.
Panzura
Panzura is an enterprise hybrid cloud data management company whose flagship CloudFS turns object storage into a single, global file system - letting distributed teams edit the same files across continents as if they were sitting in the same office. Paired with its Symphony data services platform and the newer Nexus AI connector, Panzura consolidates sprawling unstructured data, defends it against ransomware with immutable storage, and is now positioning that data to feed enterprise AI tools like Microsoft 365 Copilot.
Implicit
Implicit (formerly Agolo, legally Ninoh, Inc.) is a New York-based AI company that turns a company's scattered manuals, SOPs, tickets and PDFs into a private 'knowledge engine.' Its KnowledgeOS platform builds enterprise knowledge graphs and AI Navigators that give support agents and customers expert-level, source-cited answers about complex products. The company pivoted from its original news-summarization roots into entity intelligence and product-expertise support, claiming roughly 3x the accuracy of generic LLMs with answers tied to a source to eliminate hallucinations.
ZL Tech
ZL Tech (ZL Technologies) is a Silicon Valley enterprise software company that helps the world's largest organizations govern, manage and extract value from unstructured data - email, files and messages - at petabyte scale. Its Unified Archive platform consolidates eDiscovery, records management, regulatory compliance, data privacy, file analysis and analytics under a single architecture, eliminating the data silos that drive up cost and legal risk. Founded in 1999 by Kon Leong and Arvind Srinivasan, ZL serves Fortune 500 firms and federal agencies and has been recognized in Gartner's Magic Quadrant for Enterprise Information Archiving for more than a decade. Today the company positions that same governed data layer as the foundation for enterprise GenAI and analytics.
Valora Technologies
Valora Technologies is a Massachusetts-based information governance company that builds AutoClassification software powered by machine learning. Its PowerHouse engine and BlackCat interface scan, analyze, tag, and defensibly dispose of enterprise content across cloud and on-premises repositories, helping legal, compliance, records, and IT teams tame sprawling, unstructured data for privacy, eDiscovery, and AI-readiness use cases.
Shelf
Shelf is an AI-driven knowledge and data quality platform that cleans, enriches, and governs the unstructured content enterprises feed into generative AI. By diagnosing and fixing the messy documents, duplicates, and outdated answers buried across corporate systems, Shelf aims to make GenAI and RAG applications accurate and trustworthy. Founded in 2017 and based in New York and Stamford, Connecticut, it serves enterprises like John Deere, HelloFresh, DSW, and Glovo.
Simpli.fi
Simpli.fi is a Fort Worth, Texas-based advertising technology company that built one of the industry's leading programmatic demand-side platforms (DSP) on unstructured data rather than pre-packaged audience segments. Its Advertising Success Platform combines programmatic media buying - across connected TV, mobile, display, video, native and audio - with agency management and workflow software used by more than 2,000 media teams, agencies and brands. Backed by Blackstone and GTCR at a $1.5 billion valuation, the company specializes in granular, localized, addressable targeting at scale.
Instabase
Instabase is an enterprise agentic automation platform that transforms complex, unstructured document workflows into reliable, verifiable AI-driven outcomes. Founded in 2015 by MIT PhD student Anant Bhardwaj, the company's AI Hub platform enables organizations across financial services, insurance, healthcare, and government to automate document-heavy processes — from loan origination to KYC compliance — using packet-aware AI agents with deep document understanding and full auditability. With $322M in total funding, a $1.24B valuation, and customers like NatWest, Rocket Mortgage, AXA, and MetLife, Instabase has positioned itself as the backbone infrastructure for enterprise document intelligence.
Unstructured
Unstructured is a San Francisco company building the data layer for generative AI. Its open-source library and enterprise platform ingest PDFs, slide decks, emails, images and 70+ other file types, then transform them into clean, structured data that LLMs and RAG pipelines can actually use.
Coactive AI
Coactive AI is an enterprise multimodal application platform that turns unstructured video, image, and audio into searchable, time-aligned, taggable data - giving media, retail, and tech companies a way to actually see what is inside their content libraries without an army of human taggers.
LlamaIndex
LlamaIndex is a San Francisco company building the data framework and cloud platform that lets enterprises turn messy unstructured documents into knowledge agents powered by large language models. Its open-source library is one of the most-used scaffolds for retrieval-augmented generation, and its hosted product, LlamaCloud, packages parsing, extraction, and indexing for production teams.