document-ai
(12)
Rossum Taught the Machines to Read the Paperwork Nobody Could Kill
The Czech-born document-AI company made peace with the invoice, trained a specialist model to understand it, and sold the result to enterprises drowning in exceptions. Coupa’s 2026 acquisition turns that stubborn paperwork layer into part of a much larger spend-management machine.
Datatruck Wants to Be the Operating System Trucking Runs On
A Chicago-founded startup is betting that trucking's back office - the spreadsheets, the phone tag, the paperwork - is a software problem AI can finally solve. About 500 carriers are already running on it.
6Estates
6Estates is a Singapore-based enterprise AI company that turns messy, unstructured financial documents into structured decisions. Spun out of the NExT++ research center (NUS, Tsinghua, University of Southampton), it builds domain-specific large language models, intelligent document processing, and agentic AI tools that banks and lenders across Asia use to automate credit assessment, financial statement analysis, and trade finance checks.
NuMind
NuMind is a Paris-based, Y Combinator-backed AI company building multimodal large language models that turn messy documents - PDFs, scans, spreadsheets, handwritten forms - into clean, structured JSON. Its NuExtract platform and open-source models let developers and enterprises extract exactly the fields they define, in any language, either as a hosted API or deployed privately on their own infrastructure.
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.
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.
Anvil
Anvil is a San Francisco software company that turns paper-heavy back-office processes into programmable digital workflows. Its API-first platform bundles PDF generation and filling, no-code webforms, embedded e-signatures (Etch), and workflow automation so developers and product teams can collect data, generate compliant documents, and get them signed without stitching together multiple tools. Founded in 2018 by Mang-Git Ng and Ben Ogle, Anvil serves customers across insurance, financial services, HR, real estate, healthcare, and education, and has raised $10M in Series A funding.
Sensible
Sensible is a developer-first platform that turns any document - PDFs, scans, emails, images - into structured, verifiable JSON. It pairs LLM-based extraction with deterministic, layout-based rules written in its own configuration language, SenseML, and ships 150+ prebuilt parsers plus confidence scores, source coordinates, and human-review workflows. Founded in 2020 and backed by Craft Ventures, Sensible is used by companies across insurance, proptech, financial services, logistics, and healthcare to automate document-heavy operations.
Mindee
Mindee is a Paris- and San Francisco-based AI company building an API-first platform that turns any document - invoices, receipts, passports, bank statements - into clean structured JSON. Founded in 2018 and backed by GGV Capital, Alven and Y Combinator, it gives developers pre-trained OCR endpoints plus a no-training-required custom builder called docTI.
Burmester & Vogel
Burmester & Vogel is a Boston-based maritime technology company that uses AI and machine learning to automate laytime calculation and demurrage claim management for the shipping industry. Founded in Hamburg in 1983 as a traditional laytime firm, it has reinvented itself as the maker of the Demurrage AI Copilot - software that digitizes shipping documents, calculates delay time, and audits demurrage claims in seconds. It serves industrial producers, commodity traders, bulk terminals and shipowners across several hundred companies worldwide.
H2O.ai
H2O.ai is a Mountain View-based AI cloud company founded in 2012, on a mission to democratize artificial intelligence for everyone. The company offers a converged platform spanning predictive and generative AI - from its open-source H2O-3 machine learning framework to enterprise products like Driverless AI, h2oGPTe, and the H2O AI Cloud. Trusted by over 20,000 organizations including more than half the Fortune 500, H2O.ai is known for employing the world's largest team of Kaggle Grandmasters and for pioneering automated machine learning. With $246 million in total funding at a $1.7 billion valuation, the company serves industries from financial services and healthcare to government and telecommunications, delivering AI that organizations can deploy on their own terms - on-premises, in the cloud, or in air-gapped environments.
Upstage
Upstage is a South Korea-born, US-expanding AI company building Solar - a family of frontier large language models - alongside Document AI tools that turn messy PDFs, scans, and contracts into structured data for enterprise workflows.