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 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.
Jason Auh is Head of Sales and Customer Success at Sensible, the San Francisco developer platform that turns messy documents into structured, schema-validated data through its SenseML configuration language. A Dartmouth graduate who came up through enterprise sales at NetBase Quid, Jason sits at the seam between the engineering that builds Sensible and the customers who bet their workflows on it - and he writes candidly about where document AI actually breaks in production, not just in the demo.
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 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 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.
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.
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.