Exa AI vs Kagi

Exa AI has a disclosed valuation of $700M, while Kagi's valuation is not publicly available, making a direct size comparison difficult. Exa AI employs 75 people.

Exa AI has raised more in total funding at $111M, compared to Kagi's $7M — a gap of $104M. Combined, the two companies have completed 2 known funding rounds.

Exa AI leads with an Awaira Score of 68/100, while Kagi sits at 55/100. That 13-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Exa AI was founded by Will Bryk in 2021. Kagi was founded by Vladimir Prelovac in 2018. Visit each company's profile on Awaira for a full founder biography.

Exa AI: Exa AI is a search engine company founded in 2021 that specializes in providing AI-native search capabilities. The company has developed a search API designed specifically for large language models and AI applications, enabling developers to integrate real-time web search functionality into their AI systems. Unlike traditional search engines optimized for human users, Exa's technology is engineered to return results in formats suitable for machine learning models, improving their ability to access current information and reduce hallucinations. The platform processes queries from AI applications and returns structured data that integrates seamlessly into LLM workflows. Exa AI operates in the growing category of infrastructure tools supporting generative AI deployment. The company has secured $105M in total funding and achieved a $700M valuation as of its Series B stage, indicating significant investor confidence in the AI infrastructure sector. Exa's competitive positioning focuses on solving a specific technical challenge within the AI ecosystem: enabling language models to access and utilize real-time information efficiently. The company addresses demand from developers building AI applications requiring current data integration. Its growth trajectory reflects broader trends in the AI industry, where infrastructure tools supporting LLM capabilities attract substantial venture capital. The company operates in a market segment alongside other AI infrastructure providers serving the expanding generative AI developer community. Exa AI has identified a specific infrastructure gap in the AI ecosystem by building search optimized for machine consumption rather than human consumption. Kagi: Kagi is a privacy-focused search engine founded in 2018 and headquartered in the United States. The company operates as a bootstrapped venture with $7M in total funding and has not disclosed its valuation. Kagi positions itself as an alternative to Google and other ad-supported search engines by offering a subscription-based model that prioritizes user privacy and data protection. The platform uses its own search index alongside licensed results from multiple sources, reducing dependence on any single provider. Core features include customizable search results, the ability to block or prioritize specific websites, and tools designed for productivity and research workflows. Kagi targets users concerned about privacy, data harvesting, and algorithmic bias inherent in advertising-driven search models. The company emphasizes transparent business practices where revenue comes directly from users rather than advertisers tracking search behavior. Its competitive positioning centers on privacy guarantees, result quality, and user control over search experience customization. Kagi has attracted a growing community of privacy-conscious users and technology professionals. The company operates independently without venture capital backing, allowing autonomous decision-making regarding product direction. Growth trajectory reflects increasing demand for privacy-respecting alternatives to mainstream search engines, though market penetration remains limited compared to dominant competitors. Kagi's subscription-based model with privacy-first design directly challenges the ad-supported search framework by eliminating tracking and user data monetization.

Kagi got there first, launching in 2018 — that's 3 years of extra runway. Exa AI didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Exa AI has about 75 employees; Kagi has about 45. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Exa AI and Kagi compete in AI Search, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.