Top 28 Intelligent Document Recognition startups

Oct 24, 2024 | By Siddhant Patel

These startups develop IDR software that transform row paper documents or forms into ordered data ready for input in structured database, classification, insight extraction.
1
Country: USA | Funding: $2B
UiPath designs and develops robotic process automation software. The platform offers foolproof development tool, automation of intricate processes, enhanced control, cloud and on-premise deployment, robust governance, and multiple robots on a single virtual machine.
2
Country: USA | Funding: $288.9M
HyperScience helps its customers save enormous time spent on manual data extraction from forms and the tedious data capturing process from pay stubs and invoices. The data are naturally aligned even when they’re split in the different fields and under distinct names between documents.
3
Country: USA | Funding: $192M
Instabase is providing an apps platform that can be used to understand and analyze unstructured data.
4
Country: UK | Funding: $188.8M
Onfido builds trust in an online world by helping businesses digitally verify people's identities. Our Identity Record Check cross-references your users’ details against a range of verified global databases and credit reference agencies.
5
Country: USA | Funding: $127M
Ocrolus is a document automation platform in financial services that powers the digital lending ecosystem with trusted data.
6
Country: USA | Funding: $120.7M
Hive provides cloud-based enterprise AI solutions designed for intelligent automation.
7
Country: UK | Funding: $109.5M
Rossum's artificial intelligence understands complex structured documents, enabling companies to capture data from financial documents efficiently and with human-level accuracy. Unlike existing text mining solutions, Rossum's unique deep neural networks reflect the way humans read documents. This eliminates the need for costly manual implementation, a game changer in the data capture business.
8
Country: USA | Funding: $94.7M
Flatfile is a provider of a data onboarding platform used to import, map, and normalize customer data exhange. Flatfile uses AI to map and resolve schema in documents and extract data.
9
Country: UK | Funding: $59.4M
Eigen is a research-driven AI company specialising in NLP for businesses in finance, law and professional services. Eigen automates the extraction and classification of information from documents. Their simple, flexible Natural Language Processing (NLP) technology accurately extracts information from diverse types of documents at scale and can be integrated into our clients’ workflows.
10
Country: Germany | Funding: $58.4M
omni:us delivers structured data from highly variable documents to streamline your processes & facilitate end2end document interchange.
11
Country: Canada | Funding: CA$65M
Kira is a powerful machine learning software that identifies, extracts, and analyzes text in your contracts and other documents.
12
Country: USA
Parascript is a leading developer of proven document capture and recognition solutions. The company’s intelligent document recognition (IDR) solutions have evolved from a long history of image analysis and cursive and handprint recognition powered by software that is always learning.
13
Country: Spain | Funding: $44.4M
Savana is a machine learning-based service that turns clinical notes into structured patient information for physicians and pharmacists
14
Country: Japan | Funding: $42.4M
Cinnamon is an AI startup that develops products aimed at reducing the amount of time people spend on mundane tasks. Its Flax Scanner takes lengthy documents and extracts only the most pertinent information, while Lapis Engine is an natural language processing (NLP) based search engine designed to give recommendations for applications such as e-commerce or a recruiting platform, and Scuro Bot is a chatbot which can also process natural languages.
15
Country: USA | Funding: $26M
Alkymi is the first ever Data Inbox for enterprises that breaks the unstructured data.
16
Country: USA | Funding: $25M
LexCheck uses AI, including natural language processing, to support processes around editing and negotiating contracts.
17
Country: Germany | Funding: $15.5M
Hypatos is applying language processing AI and computer vision tech to speed up financial document processing for business use cases such as invoices, travel and expense management, loan application validation and insurance claims handling via — touting a training data set of more than 10 million annotated data entities.
18
Country: Germany | Funding: $10M
Levity is a software company that provides a no-code AI workflow automation platform. It uses NLP and computer vision in a single horizontal platform to parse unstructured data types — such as images, texts and documents.
19
Country: Switzerland | Funding: $8.5M
Large enterprises, BPOs, software vendors, and IT specialists rely on Parashift to read complex documents and speed up business processes. Parashift leverages Document Swarm Learning™ to train machine learning models on field entity level and offer unprecedented out-of-the-box capabilities.
20
Country: Montenegro | Funding: $2.6M
An AI platform that reads and understands contracts and agreements just as humans do.
Editor: Siddhant Patel
Siddhant Patel is a senior editor for AI-Startups. He is based out of India and has previously worked at publications including Huffington Post and The Next Web. Siddhant has a special interest in artificial intelligence and has spent a decade covering the rapidly-evolving business and technology of the industry. Siddhant graduated from the Indian Institute of Science (Bengaluru). When he’s not writing, Siddhant is also a developer and has a deep historical knowledge of the computer industry for the past 50 years. You can contact Siddhant at sidpatel(at)ai-startups(dot)org