Exa

We raised $250M in Series C funding at a $2.2B valuation, led by a16z. Exa is a search lab organizing the web's data for agents.

Manifesto:

@PaperSpeak1 dm us your email/team!

@ExaAILabs Any free credit as a celebration bonus

We raised $250M in Series C funding at a $2.2B valuation, led by a16z. Exa is a search lab organizing the web's data for agents.

@nityasnotes ❤️

I joined Exa when it was 25 people. Today we raised $250M, are a 100+ people and have built the search engine for AI. it still feels like the early days, we're building infra to manage trillions of requests, endpoints that can handle any web search task, growing our index. Lucky to work with this group of people and we're hiring across GTM, ML, Infra. Come join us!

@TheIshanGoswami ❤️

@sarahdingwang @benchmark @lightspeedvp @ycombinator @ScottWu46 @ibab @talbroda And lastly, thank you to all Exa users and friends who've been with us these past 5 years. We will not stop until the world’s information is fully organized for you, and for every intelligence across the world 🫡

We are very excited to work with Sarah Wang (@sarahdingwang) from a16z who's joining our board. Existing investors doubled down: @benchmark, @lightspeedvp, @ycombinator Excited for Scott Wu (@ScottWu46), Igor Babushkin (@ibab), @talbroda and other AI leaders to join as well.

How does Exa compare to Google for training LLMs to search? In this blog post, we find that LLMs using Exa during reinforcement learning reach higher performance with 70% less training compute. exa.ai/blog/rl-search…

The Exa MCP is now officially available in ChatGPT! Exa gives ChatGPT access to unique data sources like people, companies, papers, and more. We find it particularly useful inside of Deep Research. To install, search “Exa” in “Apps”

Docs: docs.cloud.google.com/vertex-ai/gene…

We're excited to partner with Google to offer Grounding With Exa inside of Gemini models! Using Exa's agent-first search, Gemini models can now access billions of websites, technical docs, papers, people, companies, and more. 10^18🤝10^100

Learn more here: exa.ai/blog/exa-googl…

Install here: exa.ai/claude Compared to Claude Code's web_search, each Exa search result is faster and more accurate. On a dataset of 301 coding bugs where the issue depends on the developer's library version, Exa helps Claude correctly fix the issue 58% of the time vs. 38%, at half the latency.

Introducing Exa for Claude: Give Claude access to billions of websites, docs, papers, people, companies, and more. Exa turns Claude into a recruiter, a salesperson, a researcher, a reliable engineer, all with one plugin. Run in terminal: claude plugin marketplace update claude-plugins-official && claude plugin i exa@claude-plugins-official && claude "call mcp__plugin_exa_exa__authenticate (a deferred tool available to you, guaranteed)"

On benchmarks like SimpleQA, 500 characters of Exa's highlights match the accuracy of the first 8000 characters of the page, and use 16x fewer tokens Learn more about how Exa's highlights work: exa.ai/blog/highlight…

Exa now reduces input tokens for web agents by 96%. We trained a text extraction "Highlights" model to dynamically select only the most relevant tokens from a webpage, for a given query. Only 500 tokens of highlights are needed to match the RAG performance of a full 10K token webpage. We find Highlights to be particularly useful for frontier models like GPT 5.5, where content density enables longer horizon tasks by preventing context bloat. You can use it today by using the "highlights" content type in our API!