TinyFish Lands $47 Million to Build Internet-Scale AI Agents

TinyFish announced this week that they raised $47 million in Series A funding led by ICONIQ, alongside backers including USVP, MongoDB Ventures, and Sandberg Bernthal Venture Partners. With a 25-person team and early deployments at companies such as Google and DoorDash, TinyFish is positioning itself as one of the more ambitious entrants in the growing market for autonomous software agents.

In early 2024, Sudheesh Nair, Keith Zhai, and Shuhao Zhang set out to solve a problem that had frustrated enterprises for years: the difficulty of extracting and acting on information buried across the constantly shifting terrain of the internet. Their answer was TinyFish. The Palo Alto startup that builds what it calls “enterprise web agents,” software designed to simulate human browsing behavior but at a scale and speed no human workforce could match.

Automating the Messy Web

Enterprises in sectors like retail, travel, and logistics have long relied on offshore teams or fragile scripts to monitor competitor prices, aggregate inventory, or surface real-time availability across their systems. Those solutions often broke when a site’s design changed or struggled to keep up with scale.

TinyFish’s agents are designed to navigate that complexity. “If you can turn the internet into analyzable data, it will fundamentally give businesses advantages that others don’t have,” Nair told Reuters. The platform uses AI models for reasoning and exploration, then codifies what it learns into repeatable workflows executed at massive scale.