idp
(11)
Cortex
Cortex is the engineering operations platform - an internal developer portal that catalogs services, scores them against engineering standards, and pushes teams to act on what's broken. Born out of the chaos of Uber-scale microservices, it gives platform teams a single pane of glass over ownership, quality, and operational maturity.
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.
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.
Laiye
Laiye is a Beijing-founded enterprise automation company building a Work Execution Platform that combines Robotic Process Automation (RPA), Intelligent Document Processing (IDP), conversational AI and, increasingly, large-language-model-powered AI agents. Started in 2015 by a group of Ivy League and ex-Baidu engineers, Laiye pitches 'digital workers' that handle repetitive back-office tasks so people can focus on higher-value work. It is the only Chinese vendor named in the Gartner Magic Quadrant for RPA for five consecutive years, serves hundreds of Fortune Global 500 and China Top 500 companies, and has raised roughly US$211 million across seven rounds.
Qovery
Qovery is an internal developer platform and agentic Kubernetes management solution that lets engineering teams deploy and run production-grade infrastructure inside their own cloud accounts. Founded in 2020 and headquartered in New York with a remote team, it layers a Heroku-like developer experience on top of AWS, GCP, Azure and Scaleway - automating environment provisioning, ephemeral pull-request environments, and day-2 Kubernetes operations so developers can ship without becoming DevOps experts. The company raised a $13M Series A in 2025 and is used by tens of thousands of developers across more than 100 countries.
Automat
Automat is a San Francisco AI company building agents that operate computers the way people do. Founded in 2023 by CMU design alumni and ex-Google Creative Lab designers Lucas Ochoa and Gautam Bose, it pairs a transformer-based RPA engine with intelligent document processing so enterprises can automate manual back-office work - from KYC checks to mortgage disclosures to medical-claims processing - by simply showing the software a recording of the task. It positions itself as a modern, AI-native alternative to legacy RPA tools like UiPath, Automation Anywhere and Blue Prism.
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.
Ripcord
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.
Nanonets
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.
JIFFY.ai
JIFFY.ai is an enterprise AI platform purpose-built for financial services — combining no-code app development, intelligent document processing, RPA, and generative AI into a unified HyperApp architecture. Founded in 2018 by Babu Sivadasan (formerly of Envestnet and Stamps.com) and a team of co-founders, the company targets wealth managers, banks, broker-dealers, and RIAs looking to automate client onboarding, account servicing, advisor workflows, and compliance operations without writing a line of code. With $105M+ in total funding and marquee customers reducing onboarding costs by 30% and advisor service time by 50%, JIFFY.ai sits at the intersection of AI hype and real financial-services plumbing.