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§ Private Profile · Palo Alto, CA, USA
TinyFish is a technology company.
TinyFish provides enterprise infrastructure specifically designed for artificial intelligence web agents, enabling automated, high-scale interactions across the internet. Its platform allows businesses to navigate, authenticate, extract data, and conduct transactions on hundreds of dynamic websites simultaneously. This serverless architecture ensures real-time execution and delivers fresh data with high accuracy, even when operating behind login portals and complex forms.
The company was founded in 2024 by Shuhao Zhang, Keith Zhai, and Sudheesh Nair. Their core insight stemmed from recognizing that the modern web, while rich with data, was not built for automated agents, making traditional scraping and automation tools insufficient for scalable, real-time enterprise needs. The founders sought to develop a new foundation for agentic web operations.
TinyFish serves enterprise clients across sectors such as healthcare, insurance, finance, and retail, assisting with critical functions like regulatory monitoring, competitive intelligence, and supply chain tracking. The company envisions a future where machines can reliably and efficiently interact with the entire web, overcoming existing limitations to unlock vast operational efficiencies for businesses.
TinyFish has raised $47.0M across 1 funding round.
TinyFish has raised $47.0M in total across 1 funding round.
TinyFish has raised $47.0M across 1 funding round. Most recently, it raised $47.0M Series A in August 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Aug 1, 2025 | $47M Series A | Amit Agarwal, ICONIQ Capital | Khosla Ventures, Y Combinator, Arash Ferdowsi, Gokul Rajaram, Kulveer Taggar, MongoDB Ventures, Sandberg Bernthal Venture Partners, U.S. Venture Partners | Announced |
TinyFish is a Palo Alto-based technology company founded in 2023 that builds infrastructure for enterprise web agents, enabling machines, agents, and devices to autonomously navigate and interact with any website at scale.[1][2][3] Its platform automates complex web workflows—handling logins, popups, forms, checkouts, and multi-step tasks—serving enterprises like Google, DoorDash, and Fortune 500 companies by solving the problem of unreliable web automation in dynamic environments.[2][3] With ICONIQ leading its Series A, TinyFish demonstrates strong growth momentum, powering real-world applications such as real-time hotel inventory aggregation for Google Hotels and AI job matching, delivering measurable business outcomes like cost savings and precision at scale.[2][3]
TinyFish was founded in 2023 by CEO Shuhao Zhang and co-founder Keith Zhai, emerging amid advances in large language models (LLMs) and reasoning capabilities that enabled dynamic web interactions beyond rigid automation.[1][2][4] Based in Palo Alto, California, the idea crystallized to address the web's complexity for agents, providing "infrastructure for the web's next trillion users" where machines could reliably operate autonomously.[1][3] Early traction came swiftly: its technology was adopted by technical teams at Google and DoorDash for high-value tasks like pricing intelligence and data aggregation, validating the platform without requiring changes to legacy IT systems and securing investment from ICONIQ, Mango Capital, MongoDB, U.S. Venture Partners, and others.[2][4]
TinyFish stands out in the enterprise web agent space through these key strengths:
Compared to rivals like Brevian (no-code AI agents) or legacy data firms like Cohesity, TinyFish focuses on web-specific, adaptive infrastructure for machines.[1]
TinyFish rides the explosive trend of enterprise web agents, fueled by LLM advancements that shift web automation from hardcoded scripts to adaptive, human-like workflows at machine scale.[2] Timing is ideal: as AI agents proliferate for business tasks, the open web's chaos—dynamic UIs, CAPTCHAs, regional variances—blocks progress, but TinyFish's infrastructure unlocks it, creating revenue opportunities in pricing intelligence, e-commerce, and data aggregation.[2][3] Market forces like rising AI adoption in enterprises (e.g., Google, DoorDash) and demand for cost-effective automation over manual teams favor TinyFish, influencing the ecosystem by becoming the foundational layer for agent platforms, much like cloud infrastructure enabled web scale.[2][3]
TinyFish is poised to dominate as the go-to infrastructure for agent-driven web operations, with Series A backing from ICONIQ signaling acceleration toward broader enterprise rollout and potential Series B.[2][4] Trends like multimodal AI, edge computing, and regulatory pushes for secure automation will amplify its edge, evolving its influence from niche enabler to ecosystem standard—powering the next wave of autonomous business intelligence. As web agents redefine workflows, TinyFish's early wins with tech giants position it to capture massive value in a trillion-user web economy.[2][3]
TinyFish has raised $47.0M in total across 1 funding round.
TinyFish's investors include Amit Agarwal, Khosla Ventures, Y Combinator, Arash Ferdowsi, Gokul Rajaram, Kulveer Taggar, MongoDB Ventures, Sandberg Bernthal Venture Partners, U.S. Venture Partners.