Most Deployed Enterprise Web Agent Already Powers Business Operations at Fortune 500 Companies in Hospitality, Transportation, and E-commerce

PALO ALTO, Calif.: TinyFish, the enterprise web agent infrastructure company, today launched with $47 million in funding led by ICONIQ to transform complex business operations with enterprise web agents. Purpose-built TinyFish enterprise web agents are already in production at unmatched scale at Fortune 500 companies and other large enterprise brands across industries including hospitality, transportation, and e-commerce.

TinyFish’s enterprise web agents are designed to operate with the scale, reliability, and compliance required by the world’s largest organizations and global brands. Powered by the company’s patented infrastructure that learns, adapts, and scales, TinyFish agents execute complete workflows mapped to measurable business outcomes, from pricing and inventory tracking to real-time market intelligence, across thousands of platforms simultaneously.

"TinyFish's platform manages web interaction complexity at scale," said Abhi Shah, Director of Data Science, DoorDash. Beyond DoorDash, TinyFish powers high-stakes workflows in hospitality, e-commerce, and marketplaces, helping enterprises capture shifting web data, act faster, and turn constant change into measurable outcomes.

Most Deployed Enterprise Web Agent

TinyFish Enterprise Web Agents are already deployed in high-volume, mission-critical environments:

• Hospitality: For Google, TinyFish agents aggregate inventory from thousands of hotels in Japan so it is available to consumers for search and booking through Google’s hotel search. This inventory was previously inaccessible to Google’s search aggregator due to the underlying infrastructure of many hotel booking systems. With TinyFish agents, this information is fully accessible without requiring hotels to overhaul and update their IT systems.
• Transportation: A leading rideshare company uses TinyFish to collect millions of pricing variables every month, enabling dynamic market adjustments in near real time.
• E-commerce: Global brands track competitor pricing, monitor inventory shifts, and capture promotional data across thousands of retail sites simultaneously.

In total, TinyFish operates hundreds of thousands of enterprise web agents, performing millions of operations each month for Fortune 500 companies and high-growth enterprises.

“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 Sudheesh Nair, co-founder and CEO, TinyFish. “Helping those 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. TinyFish’s enterprise web agents make that possible, delivering the scale, precision, and security global organizations need to operate seamlessly across the modern web.”

Defining the Category

Unlike consumer browser agents, which excel at personal, one-to-one tasks like arranging a travel itinerary or creating a personalized recommendation based on past browsing history, enterprise web agents automate complex business workflows that must be performed thousands or millions of times, without failure. This can reduce hours of work spent on complex, repetitive digital tasks and also allow companies to uncover new opportunities that were previously limited by human scale. TinyFish’s enterprise web agents are purpose-built to adapt to changes in the web environment and maintain precision at massive scale, delivering secure and compliant enterprise outcomes. Powered by TinyFish’s platform technology, these agents provide:

• Outcome-Driven Design: Built to deliver measurable business results such as revenue lift, cost savings, or market share gain.
• Complete Workflow Coverage: Operate across every stage of a process, not just isolated tasks.
• Enterprise-Grade Reliability and Compliance: Built for security, governance, and uptime at global scale.
• Planet-Scale Reach: Coordinate actions across thousands of platforms simultaneously.

Advances in Generative AI and newly released reasoning models have made the web more complex and less accessible to traditional tools. Valuable market intelligence sits siloed across constantly changing platforms while strategic teams spend hours on repetitive digital tasks instead of unlocking new growth. Using those same advanced reasoning models, TinyFish enterprise web agents can understand and act on the complexity of today’s web so companies can scale their operations securely and turn that complexity into a business advantage.

TinyFish has raised $47 million in Series A funding led by ICONIQ, with participation from USVP, Mango Capital, MongoDB Ventures, ASG, and Sandberg Bernthal Venture Partners. The company will use the funds to continue innovating its technology platform which is already in use at scale by large enterprise customers.

“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 and TinyFish board member. “This is setting the foundation for a major shift in the way enterprises and applications interact with the web, gather intelligence, and automate workflows. Nobody else has solved this, and TinyFish is already delivering results in production with customers today.”

About TinyFish

TinyFish develops and operates Enterprise Web Agents for global businesses. TinyFish agents handle the complexity of modern web interaction at scale, delivering complete, outcome-focused workflows across industries. Founded by Sudheesh Nair (former President of Nutanix), Shuhao Zhang (former Engineering Leader at Meta), and Keith Zhai (former The Wall Street Journal senior correspondent), TinyFish serves enterprises worldwide from its headquarters in Silicon Valley. To learn more, visit tinyfish.ai.

Fonte: Business Wire