Tavily partners with Elastic to deliver a secure, reliable web access layer used by AI agents from top enterprises

AI agents are quickly becoming the new gateway to information on the internet. Rather than visiting sites directly, an increasing number of people ask AI agents to find the answers they need. This is changing the way that organizations need to approach security.

Tavily was created with the goal of resolving this challenge. With a single API, Tavily helps companies develop modern AI agents that are secure, reliable, and ready for production with real-time access to the web.

What began as a 10-person startup has grown into a 70-employee company and is now part of the Nebius team.

"What agents need from search is completely different than what humans need from search," explains Rotem Weiss, founder and CEO of Tavily. "Our goal is to create a web access layer that provides the next billion AI agents access and reasoning over the web."

A key part of Tavily's platform is infrastructure that can index and retrieve large volumes of web data quickly and reliably. It needs to handle massive amounts of web data while maintaining the low latency required by modern AI agents. Elastic presented the solutions it needed to power its systems thanks to its comprehensive search toolkit.

While humans search by looking at one page of information at a time, AI agents can potentially compare thousands of web pages and documents at once to find the most accurate information. Elastic provides extremely fast, reliable indexing, allowing AI agents to quickly scan for information they need.

Elastic autoscaling capabilities shift up and down quickly and reliably, allowing Tavily to meet increasing demand as it gets adopted by more developers and major enterprise companies. By adjusting shards, however, Tavily can allocate resources as needed to achieve both fast speeds and low latency for any agent.

Weiss also commends Elastic for its flexibility. "I'm a big believer that the best search results don't just rely on one type of search. Elastic doesn't just excel in vector search or semantic search, but also more traditional text and keyword search. Now we have more options. We can deliver the most accurate and efficient results for AI agents."

When first looking for a vector database, everyone on the Tavily team knew that Elastic would be a top contender, but Weiss still conducted benchmark tests to compare competitors. "Our choice of vector database was a huge decision for the company, so we had to know we were getting it right. Elastic delivered top results but, more importantly, we felt like Elastic had the right team to do the job effectively."

Weiss wanted a partner Tavily could rely on for years into the future. Elastic actively engaged with Tavily, forming a relationship that helped the company grow its product into a web access layer used by more than one million developers around the world.

"We're just at the tip of the iceberg with AI agents, and we need to keep evolving to keep up," says Weiss. "Elastic works alongside us, building and thinking through problems together. They're a partner that we want to work with both today and three years from now as we scale Tavily."

Tavily's work with Elastic also extends to the broader cloud ecosystem through its collaboration with AWS. Together, Tavily, Elastic, and AWS provide a powerful way for developers to build production-ready AI agents that can securely retrieve and reason over real-time information from the web.

Developers can combine Elasticsearch with Amazon Bedrock AgentCore to build intelligent agents that integrate external web content directly into enterprise workflows. In this architecture, Tavily provides the secure web access layer, Elastic powers infrastructure for search and vector indexing, and AWS supplies the scalable infrastructure and agent framework, giving organizations a powerful, end-to-end stack for building reliable AI agents.