Enterprise web agent infrastructure startup, TinyFish raises $47 million in Series A funding led by ICONIQ Capital to build web agents that utilize artificial intelligence to deliver automation through data extraction, real-time intelligence, and workflow automation for global enterprises.

TinyFish, founded in 2024, has built enterprise web agents designed to handle workflows that were once limited by human resources or fragile automation. Powered by artificial intelligence, these agents surpass simple bots, enabling data extraction, workflow automation, and real-time intelligence at scale.

“Today’s web stretches across thousands of platforms and billions of pages, but companies can’t fully tap its potential because the work needed to create business value at scale is complex, manual, and limited by human capacity,” said co-founder and Chief Executive Sudheesh Nair.

Enterprises often rely on offshore teams or fragile, custom-built scripts to collect pricing, promotions, inventory, and shipping data from competitors’ websites. These methods are labor-intensive and prone to failure whenever site designs change. TinyFish’s web agents mimic human browsing to automate these tasks at scale, bringing reliability to an otherwise brittle ecosystem.

Unlike consumer-facing bots, enterprise web agents deliver reliability and compliance for global brands. They adapt to changing interfaces, replicate human interaction, and provide complete automation solutions that cover entire processes. This makes them essential for industries seeking a competitive advantage through automation.

TinyFish Industry Applications

Today’s web is dynamic, with login walls, personalization, and constantly shifting page layouts, making traditional tools ineffective. TinyFish agents are designed to navigate this complexity with resilience and autonomy. They adapt to changes, handle authentication, bypass anti-bot measures, and scale across thousands of workflows simultaneously.

TinyFish agents are already proving effective across multiple sectors. In hospitality, they perform large-scale data extraction to aggregate hotel inventory and connect it with platforms like Google Travel. In transportation, they use real-time intelligence to collect millions of pricing data points, enabling rideshare firms to make instant adjustments.

“Helping companies get more value from the web isn’t about automating low-value tasks. It’s about amplifying the high-value, outcome-driven processes that require human-like interaction at scale,” added Sudheesh Nair.

By embedding artificial intelligence into workflow automation, agents deliver measurable outcomes, including revenue growth, cost reduction, and increased market share. Enterprises gain speed and scale without the weaknesses of outdated systems.

The $47 million Series A round included participation from US Venture Partners, Mango Capital, MongoDB Ventures, Alpine Software Group, and Sandberg Bernthal Venture Partners. CEO Sudheesh Nair said the funding will fuel product innovation and expand go-to-market efforts, reinforcing TinyFish’s goal of delivering automation at “planet-scale reach.”

Future of Automation

The startup is already serving Fortune 500 clients across various industries, including hospitality, transportation, e-commerce, and more. Use cases include feeding Google Travel with hotel inventory, enabling dynamic pricing in ride-hailing, and monitoring competitor data, all real-world, high-impact deployments.

TinyFish positions enterprise web agents as the next generation of automation. With adaptive artificial intelligence, scalable data extraction, and reliable workflow automation, the platform empowers businesses to transform operations. As enterprises demand efficiency, compliance, and real-time intelligence, TinyFish’s technology is poised to shape the future of automation.

“TinyFish’s innovative enterprise web agents can replicate human behaviors on the web at scale, with the resilience and reliability that enterprises require,” said Amit Agarwal, general partner at ICONIQ. “This is setting the foundation for a major shift in the way enterprises and applications interact with the web, gather intelligence and automate workflows.”

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