PALO ALTO, Calif. (Diya TV) — The internet has changed many times since its early days of static pages. It grew into a space for e-commerce, social media, and entire industries. But the web has also become harder to understand. Information hides behind logins. Pages change constantly. No single analyst or tool can keep up.

Now, a Palo Alto startup called TinyFish believes it has the answer. The company builds “enterprise web agents,” a new type of software designed to help businesses navigate the modern internet at scale. This week, TinyFish announced it raised $47 million in Series A funding led by ICONIQ, with support from USVP, Mango Capital, MongoDB Ventures, and Sandberg Bernthal Venture Partners.

For years, the web felt like a library. Users could search and organize pages. That world no longer exists. Today, websites shift by the minute. Content is personalized. Prices change in real time. Layouts vary for each visitor. For businesses, this creates major challenges. Companies depend on thousands of workflows across thousands of sites. They face billions of changes every day. Traditional browser tools or manual teams cannot keep pace.

TinyFish’s solution is enterprise web agents. These are AI-powered systems built to complete workflows across the internet the way a human would—but at a scale humans cannot match. They can log in, handle authentication, adapt to page changes, and work through anti-bot measures.

Unlike consumer automation tools, these agents are designed as infrastructure. They can expand from a handful of processes to thousands in parallel. They log every action, provide security and compliance controls, and connect results directly to business outcomes such as revenue growth and risk reduction.

CEO Sudheesh Nair, who previously led enterprise software company Nutanix, says the goal is simple: make the web’s complexity useful instead of overwhelming. “Technology at its best fades into the background,” Nair said. “It clears the way for human work to matter.”

TinyFish has taken a production-first approach since its founding in 2024. Instead of building consumer demos, the company focused on real deployments with major customers. Google, DoorDash, and ClassPass already use TinyFish agents in live environments.

The results cut across industries. In travel, agents surface hotel inventory from small providers in Japan, making listings visible on Google Travel without requiring new tech from the hotels. In ridesharing, platforms use agents to collect millions of price points for real-time adjustments. In e-commerce, retailers rely on them to track competitors and manage inventory.

Even job seekers benefit. JobRight.ai uses TinyFish to automate applications, doubling interview rates and cutting search time. Events platform Amplemarket uses the technology to pull high-value leads from conference sites that change layouts frequently.

The new funding gives TinyFish three to four years of runway to expand. The company plans to scale its platform, grow its team, and push further into the market. Investors say the bet is not just on TinyFish but on the category of enterprise web agents itself.

The fact that companies like Google rely on TinyFish, despite having large internal teams, highlights the technology’s promise. For years, building reliable automation at this scale was considered too difficult. TinyFish’s early traction sets it apart from startups still working on prototypes.

Enterprise web agents may mark a new chapter for the internet. Just as cloud computing reshaped IT and APIs transformed software, agents could change how businesses interact with the online world. Future possibilities include marketplaces where agents transact with each other, fully automated workflows across industries, and a programmable web that turns complexity into opportunity.

For TinyFish, the mission is clear: help businesses thrive in a digital maze that has become too complex for humans alone. The company’s success suggests that the next era of the web may belong not to browsers, but to agents built for enterprise scale.