Tavily Secures $25M to Build Real-Time AI Agent Search Infrastructure
As artificial intelligence rapidly evolves beyond simple chatbots and copilots into complex, autonomous agents, a critical challenge has emerged: how can these advanced systems reliably access and interpret live data from the web? This pressing problem is precisely what Tavily aims to solve. The company recently announced it has secured $25 million in new funding, including a $20 million Series A round led by Insight Partners and Alpha Wave Global, to build the foundational search infrastructure that will enable AI agents to operate in real-time, pulling accurate, up-to-date information from across the internet.
Tavily’s ascent has been remarkably swift. Originating as an open-source project, the company has quietly positioned itself as a pivotal player in what some are now referring to as the “Internet of Agents,” powering mission-critical systems across a diverse range of enterprises.
Despite significant advancements in large language models (LLMs), the ability to effectively search and retrieve dynamic information remains a bottleneck for AI, particularly when these systems need to act autonomously and intelligently in real-world environments. Unlike human users, AI agents don’t merely need a list of links; they require real-time, structured, and highly precise information that can be immediately interpreted and used as contextual input for critical decision-making. Current systems frequently fall short, often plagued by “hallucinations”—where AI generates incorrect or fabricated information—stale data, or fragile data retrieval infrastructure, all of which can prevent agents from delivering accurate and reliable outcomes.
This is where Tavily’s developer-friendly platform steps in. It functions as a singular layer, enabling AI agents to access live, structured data from both public and private sources. The platform is engineered specifically for “agentic workflows,” supporting high-performance search, precise web page extraction, and intelligent crawling capabilities. “We’re on a mission to onboard the next billion AI agents to the web,” states Rotem Weiss, CEO of Tavily. “Building agentic web infrastructure is uniquely challenging, especially when these agents serve mission-critical applications. That’s why we built an architecture that generates unique economies of scale: a system that becomes smarter and faster the more it is utilized.”
Remarkably, Tavily’s growth has been fueled by pure product-led adoption, gaining organic momentum within the developer community rather than through extensive marketing campaigns. With over one million monthly downloads and more than 100,000 mentions on GitHub, the company has clearly tapped into a profound market need. In just one year, Tavily has become the underlying infrastructure for a wide array of applications across various sectors: financial institutions leverage it for sophisticated fraud detection, shipping and logistics companies rely on it for operational optimization, LegalTech firms utilize it for real-time legal analysis, and media outlets alongside sports broadcasters employ Tavily to deliver dynamic, live updates. This broad applicability underscores a key strength: Tavily is not merely a tool but is rapidly becoming an integral part of the digital backbone for advanced AI-powered systems.
Beyond its technological prowess, Tavily credits its rapid progress to a distinct company culture. From its inception, the organization has prioritized humility, accountability, and creativity—values that are not just espoused but actively lived in daily operations. Employees are encouraged to “build like artists” and “think like owners,” fostering an environment where experimentation and rapid execution thrive. This cultural DNA is something the leadership team is committed to preserving, even as the company expands.
With its fresh capital infusion, Tavily plans to double its team, expand its global footprint, and deepen strategic partnerships across the AI ecosystem, including collaborations with major players such as AWS, IBM, LangChain, and Groq. The primary focus will be on extending its search layer capabilities to support an even broader range of enterprise use cases, delivering real-time, high-precision data retrieval that scales seamlessly. In an AI landscape increasingly defined by the imperatives of autonomy, reliability, and speed, Tavily’s infrastructure could prove indispensable. Rather than attempting to compete directly with traditional search engines, the company is quietly redefining how intelligent systems interact with the web—not as passive browsers, but as active agents that can reason, learn, and act on information. As artificial intelligence continues its rapid evolution, companies like Tavily are subtly yet profoundly shaping the very foundation upon which the next generation of AI will be built.