The round, led by ICONIQ Capital, also drew backing from USVP, MongoDB Ventures, and Sandberg Bernthal Venture Partners, co-founded by former Meta COO Sheryl Sandberg. According to the company, the fresh injection of capital will support product development and strengthen its go-to-market push.
Founded in 2024 and headquartered in Palo Alto, California, TinyFish is among a new crop of AI firms betting on the transition from static large language models to dynamic, autonomous agents. Its technology simulates human-like browsing to execute actions, collect data, and adapt at scale.
So far, the startup is targeting the retail and travel sectors, with early use cases including real-time price surveillance—where AI bots monitor competitors’ prices, promotions, shipping times, and stock levels. These are processes that traditionally relied on offshore data-entry teams or fragile scripts that broke whenever a website’s design changed.
Chief Executive Sudheesh Nair said the funding gives the 25-member company a runway of three to four years. He emphasized that TinyFish’s approach is aimed at turning the internet into analyzable data, which he argues provides businesses not only efficiency gains but also strategic advantages.
“If you can turn the internet into analyzable data, it will fundamentally give businesses advantages that others don’t have,” Nair told Reuters. “The goal is to help businesses make more money—not just save on costs.”
The platform’s underlying system blends advanced AI reasoning and exploration models with a mechanism that codifies knowledge for fast, deterministic execution at scale.
For investors, the appeal lies in the company’s early traction. Amit Agarwal, partner at ICONIQ, pointed to TinyFish’s success with pilot customers—among them Google—who already have the resources to build similar tools internally.
“They had operationalized it, productionized it at a very large scale for two large-scale customers who have all the development resources in-house to build these types of things themselves,” Agarwal noted.
TinyFish’s funding comes amid what some describe as a “gold rush” in AI agents, as startups and established tech giants alike race to develop software that can handle multi-step, autonomous tasks. By focusing on messy, dynamic web environments where reliable data collection is still a challenge, the company is positioning itself as a critical enabler of next-generation enterprise intelligence.