Exa is an applied AI lab building a perfect search engine unlike the world has ever seen.
Source: exa.ai/enterprise, exa.ai/connect.
Latency is a dial, not a constant — the same API serves a live lookup and an overnight enrichment run. And it returns excerpts rather than whole pages: Highlights reports ~94% fewer tokens on some evals.
Accuracy on the MultiLoko dataset; source: exa.ai/products/search. Token figure: exa.ai/blog/highlights-for-agents. Exa's enterprise page reports different figures for the same tiers — those are measured on SealQA Hard, not MultiLoko.
"Traditional search engine solutions weren't enough for us. Exa powers all parts of Devin."
"Exa is necessary for agents on HubSpot to supplement internal data with high quality, real-time people and company search."
"Standard signals like funding, job changes, and hiring are commoditized. Exa is how we find leads surfacing the triggers that actually predict a good prospect."
"We're entering a new era where software actually does the work. For that to be real, the agents need live intelligence behind them. Exa is where that comes from."
All quotes verbatim from exa.ai/customers.
Demo
On the hardest retrieval benchmark, the alternatives make you pick. Exa is 17× faster than Parallel at higher accuracy, and more than twice as accurate as the providers in its own latency class.
Source: exa.ai/blog/exa-instant, 12 Feb 2026. Dataset: SealQA Hard. Exa's own benchmark.
Highlights reaches 90% accuracy on 500 characters. Truncated full text needs 8,000 to match it. That is the same answer for 16× less context — the token cost of every downstream LLM call.
Source: exa.ai/blog/highlights-for-agents, 22 Apr 2026. Dataset: SimpleQA.