Tagged Content
Everything on the platform tagged with document-processing.
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.
Automation Anywhere is a San Jose-based enterprise software company building agentic process automation - software bots and AI agents that handle the repetitive office work humans do not want to do. Its Automation 360 platform combines RPA, document AI, and generative-AI co-pilots to run end-to-end workflows for global enterprises across finance, healthcare, manufacturing, and the public sector.
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.
Subin Perumbidy is the co-founder and Head of Engineering at JIFFY.ai, a Palo Alto-based enterprise AI automation platform that raised $104M+ in funding. With over two decades building enterprise software across India and the US, he co-founded JIFFY.ai in 2018 alongside seven colleagues, many of whom were friends from college. The platform combines no-code development, intelligent document processing, RPA, and machine learning to help Fortune 500 companies in financial services, wealth management, and operations automate complex business processes without writing code.
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.