The search layer that connects AI agents to the real-time web
HQ: New York, NY (Tel Aviv and Abu Dhabi offices) | Founded: 2023 | Employees: Small, deliberately lean team (doubled after Series A) | Stage: Acquired by Nebius Group (Feb 2026, up to $400M) | Website: https://www.tavily.com
Tavily was founded in 2023 by Rotem Weiss, with Assaf Elovic and Yuval Rozio (as Managing Director at Alpha Wave Global, which incubated the company) — and it started as an open-source experiment rather than a business plan. The insight was simple: every AI agent needs to search the web, but every existing search product returns results for humans — link lists, ads, SEO spam — that agents then have to scrape, parse, and clean at runtime. Tavily flipped the output format: send a plain-English query, get back structured, pre-scraped, pre-ranked text chunks under 500 characters each, with citations, ready for an LLM context window.
Under the hood, each query fans out to up to 20 websites in real time, crawls them, applies proprietary relevance scoring, and condenses the results. Beyond search, the platform grew a full retrieval suite: Extract for scraping known URLs, Map for discovering a site's link structure, Crawl for traversing whole websites, and a Research endpoint that orchestrates multiple searches into structured reports. Developers tune results with search depth, topical filters (news, finance), time ranges, and domain allow/deny lists. Integration was the distribution channel: Tavily shipped dedicated SDKs and became the default web-search tool inside LangChain, LlamaIndex, and most open-source agent frameworks — which is how it reached a million monthly installs without spending a dollar on marketing.
The business followed the adoption. A $5M seed (July 2024) was followed by a $25M Series A (August 2025) led by Insight Partners and Alpha Wave Global, with the company serving Fortune 500s like Cohere and Groq alongside use cases from fraud prevention at major credit-card networks to live sports updates and legal intelligence. In February 2026, Nebius Group — the AI cloud company — announced it was acquiring Tavily for up to $400M ($275M upfront cash, $125M in earn-outs), roughly 98x 2025 revenue. Tavily's search now plugs into Nebius's AI cloud and Token Factory, with marketplace integrations across IBM watsonx, AWS AgentCore, Snowflake, and Databricks.
Architecturally, Tavily stayed asset-light: it aggregates results from multiple upstream search engines and data sources rather than maintaining its own index, which kept infrastructure costs low and speed high — but creates dependency on upstream providers. That trade, plus platform-native search from OpenAI and Google, is the strategic tension the Nebius acquisition resolves by giving Tavily infrastructure, index access, and enterprise distribution under one roof.
Tavily is the cleanest case study in the 'picks and shovels' playbook of the agent era. While everyone argued about which model was smartest, Tavily solved a boring, universal problem: LLMs need fresh web information, and the web was built for humans who click, not agents who decide. Its API returns exactly what an agent can use — short, cited, ranked text chunks — and developers adopted it at viral speed because it was the default search tool in LangChain and every open-source agent framework that mattered.
The numbers tell the adoption story: 700,000+ users and a million monthly installs with zero outbound sales, zero marketing spend, and a team small enough that the CEO named individual engineers as the company's culture. Within three years of founding it went from open-source experiment to a $275M acquisition by Nebius — roughly 98x revenue — announced barely six months after its $25M Series A.
The honest caveats: Tavily never built its own search index. It fans out to other search engines and data sources and re-ranks for LLMs, which keeps it asset-light but dependent on upstream providers (Microsoft's Bing API deprecation in 2025 showed how fast that ground shifts). And platform-native search from OpenAI, Google, and Microsoft could commoditize external search APIs entirely. The Nebius acquisition is the answer to both: index access, GPU-scale infrastructure, and enterprise distribution inside a full agentic cloud.
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