Tavily

Real-time, AI-optimized Web access for AI Agents and Large Language Models

Business Software
Acquired by Nebius on Feb 2026
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Company Overview

Snapshot

Founded in January 2025 by Rotem Weiss, Tavily operates with 11–50 employees. The company raised $25 million across two funding rounds from two investors. Tavily was acquired by Nebius in February 2026.

Business overview

Tavily provides a high-performance Search API specifically designed for AI applications, particularly those utilizing Retrieval-Augmented Generation (RAG). Its core technology enables AI agents to efficiently access and process real-time, structured web content through a single API call, aiming to enhance accuracy and mitigate hallucinations. The company operates within the Business Software sector, serving markets that leverage artificial intelligence for software development.

Strategic signal

Tavily was acquired by Nebius in February 2026, signaling a significant consolidation in the AI agent search market. This acquisition, reported to be valued at up to $400 million, highlights the increasing strategic importance of web access solutions for AI agents and large language models, validating Tavily's technology and market position. For investors, this demonstrates a strong exit potential within the rapidly evolving AI ecosystem.

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Company Intelligence Q&A

What was the most significant recent corporate development for Tavily?
Tavily was acquired by Nebius in February 2026. News reports from Calcalistech and Globes indicated the deal was valued at up to $400 million.
When was Tavily founded and by whom?
Tavily was founded in January 2025 by Rotem Weiss, who serves as the CEO.
What was Tavily's last known funding round?
In August 2025, Tavily raised a Series A round. This funding was led by Insight Partners and Alpha Wave.
What is Tavily's primary focus?
Tavily focuses on providing a high-performance Search API for AI applications, particularly those leveraging Retrieval-Augmented Generation (RAG), to enable AI agents to access and process real-time web content.
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