Tiliter is a Sydney-based computer-vision company that turns ordinary camera images into structured operational data. It began by solving product recognition at retail scale - identifying fresh produce and unbarcoded goods at self-checkout with high accuracy and no stickers - and has since expanded into a broader platform of AI 'Vision Agents' for verification, inspection, counting, damage detection, OCR and cleanliness auditing across retail, logistics, manufacturing, healthcare and industrial operations.

Kushal Byatnal is the co-founder and CEO of Extend, a New York company building a full-stack cloud for document processing. Extend turns messy PDFs, images, and emails into production-ready structured data using vision models, large language models, and human-in-the-loop tooling, and is used by teams at Brex, Chime, Flatiron Health, Opendoor, and Checkr. A two-time technical founder and Duke computer science graduate, Byatnal was an early engineer at Brex and co-founded the creator fintech Stir before starting Extend in 2023. In June 2025 the company raised $17 million led by Innovation Endeavors.
Cogent Labs is a full-service software and AI studio that deploys practical, 'boring' AI automation for small and mid-size businesses - the kind that quietly removes repetitive manual work like data entry, status updates, and report generation. Founded by CEO Ehmad Zubair, the team blends web, mobile, and generative-AI engineering (Python, Django, React, React Native) with a fixed-price consulting model that maps a company's operations, prioritizes the highest-ROI automations, and ships production-ready workflows in weeks rather than six-month pilots.
Conexiom is a Vancouver-based B2B software company that automates the capture, correction, and analysis of sales orders and trade documents for manufacturers and distributors. Its AI-powered platform turns unstructured purchase orders arriving as PDFs, emails, spreadsheets, faxes, and even handwritten notes into 100% accurate, ERP-ready data, removing manual keying and the errors that come with it. Backed by roughly $170M in growth investment from Warburg Pincus, ICONIQ, and Luminate Capital, Conexiom processes hundreds of thousands of orders representing billions of dollars in transactions each year for customers such as Fastenal, Graybar, Parker Hannifin, and Arrow Electronics.
Onymos is a Palo Alto software company that sells enterprises pre-built application features and data-processing modules instead of finished apps. Its Features-as-a-Service model bundles UI, backend logic, and cloud functions - login, chat, biometrics, storage - into drop-in components, all built on a self-described 'no-data architecture' where Onymos never captures or stores customer data. In recent years the company has focused its intake and AI tooling (DocKnow, LabFlow, SmartSync, DeviceFlow) on healthcare and life sciences, automating the document and data intake that clinical and diagnostic labs handle every day.
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.
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.
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.
Ripcord is a Hayward, California company that uses robots, machine learning, and generative AI to digitize the world's paper. Founded in 2015 out of NASA research, it built robots that scan documents - pulling staples and turning records into searchable, structured data through its cloud platform. Today it positions itself as a Document Intelligence as a Service (DIaaS) company, ingesting, classifying, and extracting data from both physical and digital records for clients across financial services, energy, government, insurance, and more.
Thoth AI is a Singapore-headquartered global AI data solutions company that builds the high-quality datasets, evaluation frameworks, and human-in-the-loop operations that production AI systems depend on. Spanning 200+ languages and 100+ countries, it handles data collection and annotation across images, video, 3D point cloud, text, and audio, along with RLHF, model evaluation, content moderation, and multilingual customer experience for teams building LLMs, VLMs, multimodal systems, and applied AI like robotics.
Notable Systems is a Denver-based AI automation company that helps durable and home medical equipment (DME/HME) providers turn messy paperwork - faxed orders, handwritten referrals, degraded scans - into clean, billable claims. Its intelligent document processing and claims-validation tools combine OCR, NLP, machine learning and human-in-the-loop review to cut manual data entry, speed up order intake, and reduce claim denials, all under SOC 2 Type II and HIPAA-compliant controls.
Steve Johnson is the co-founder and CEO of Notable Systems, a Denver-based company using AI, machine learning, and human-in-the-loop review to turn messy healthcare paperwork into clean, usable data. Three decades before that, he co-founded Johnson-Grace, whose patented compression algorithm delivered the first online pictures on America Online in 1993 - a building block of modern streaming media. AOL acquired the company in 1996 and made him a VP running software and technology development; he later founded the personalization pioneer ChoiceStream. In 2025 Notable Systems raised a $12M Series B to push beyond order intake into full revenue cycle automation.
Nanonets is a San Francisco-based AI company that turns messy, unstructured documents - invoices, receipts, contracts, claims - into clean, structured data that flows directly into systems like SAP and Salesforce. Founded in 2017 by Sarthak Jain and Prathamesh Juvatkar, the company builds OCR and deep-learning agents that automate the dull back-office work nobody wants to do.
Sarthak Jain is the CEO and co-founder of Nanonets, a San Francisco-based AI company that automates document-heavy business workflows for enterprises. A two-time founder and IIT Gandhinagar gold medalist, he previously built and sold Cubeit to Myntra before launching Nanonets through Y Combinator's Winter 2017 batch. Under his leadership, Nanonets grew from an OCR tool to a $100M ARR autonomous AI agents platform serving over a third of the Global Fortune 500 - with just 130 employees.
Ottimate (formerly Plate IQ) is an AI-powered accounts payable automation platform that captures, codes, verifies, and pays invoices end-to-end. Founded in 2014 to fix the back-office mess inside restaurants, it now serves CFOs and AP teams across hospitality, healthcare, construction, retail, and grocery.
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.
Sung Kim (김성훈), known professionally as Hun Kim, is the Co-Founder and CEO of Upstage AI, South Korea's first generative AI unicorn. A former HKUST professor and founding head of Naver Clova AI, he co-founded Upstage in October 2020 to solve the gap between enterprise data and practical AI deployment. Under his leadership, Upstage developed Solar - a compact 10.7B parameter language model - and Solar Pro 2, which outperforms GPT-4.1 at half the compute cost. With $326M in total funding and a Series C close in early 2026, Upstage is positioning itself as a global AI frontier company focused on enterprise document intelligence and AI agents.
Jonathan Grandperrin is the co-founder and CEO of Mindee, a Y Combinator-backed (W21) API-first platform that automates document understanding using computer vision and machine learning. A graduate of École Polytechnique and UC Berkeley, he previously served as CTO at ECTOR and TankYou before founding Mindee in 2018. Under his leadership, Mindee has raised over $23M, participated in Y Combinator's Winter 2021 batch, grown to $3.5M ARR with 200-250% net dollar retention, and become a leading developer tool for intelligent document processing serving accounting, finance, and enterprise software companies worldwide.
Sid Manchkanti is the Co-Founder and CEO of Pulse, a production-grade document intelligence platform that converts complex unstructured documents into LLM-ready structured data. A Berkeley CS graduate with experience at NVIDIA and D.E. Shaw, he co-founded Pulse in 2024 after going through Y Combinator's Summer 2024 batch. The company raised a $3.9M seed round led by Nat Friedman and Daniel Gross, and has processed over one billion pages for Fortune 100 enterprises across finance, healthcare, insurance, legal, and supply chain sectors.

Vik Paruchuri is the founder and CEO of Datalab, an AI startup building small, efficient foundation models for document intelligence. A self-taught ML engineer who majored in American History, he previously founded Dataquest - an online learning platform that taught data skills to over 1 million students. His open-source projects (Marker, Surya, Chandra OCR) have earned thousands of GitHub stars and benchmark-topping accuracy scores. He publishes 'The Vik Letter' newsletter covering semiconductors and tech.