TinyFish is a San Francisco-based AI company building what it calls enterprise web agents, autonomous systems that navigate websites the way a human would to complete business-critical, web-based workflows. Founded in 2024, the company targets a problem that quietly drains large enterprises: the army of manual, browser-driven tasks involved in aggregating inventory, monitoring competitor prices, and moving data between systems that were never designed to talk to each other.
Rather than building brittle scrapers, TinyFish deploys agents that simulate human-like browsing behavior, clicking, scrolling, and reading pages so they can operate across both public and private web systems at scale. The platform is pitched as a way to streamline operations across retail, travel, hospitality, and e-commerce, where pricing, availability, and inventory data are constantly changing and spread across thousands of sites.
TinyFish launched publicly in August 2025 with $47 million in Series A funding led by ICONIQ Growth, with participation from U.S. Venture Partners, MongoDB Ventures, ASG, Mango Capital, and Sandberg Bernthal Venture Partners. The company was co-founded by Sudheesh Nair (co-founder and CEO, a former president of Nutanix and CEO of ThoughtSpot), alongside Shuhao Zhang and Keith Zhai.
The company says its web agents are already running in production at scale at Fortune 500 companies. In one flagship deployment, TinyFish agents aggregate hotel inventory from thousands of properties in Japan so that availability is searchable and bookable through Google's hotel search, without requiring those hotels to overhaul their IT systems. DoorDash is also cited among its enterprise users.
In 2026, TinyFish expanded into a full web infrastructure platform for AI agents, unifying search, fetch, browser, and agent capabilities under a single API key, positioning itself not just as a vertical automation vendor but as connective tissue between agents and the live web.