Elicit vs Kagi

Elicit has a disclosed valuation of $100M, while Kagi's valuation is not publicly available, making a direct size comparison difficult. Elicit employs 35 people.

Elicit has raised more in total funding at $33M, compared to Kagi's $7M — a gap of $26M. Combined, the two companies have completed 2 known funding rounds.

Elicit leads with an Awaira Score of 56/100, while Kagi sits at 55/100. That 1-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Elicit was founded by Jungwon Byun in 2021. Kagi was founded by Vladimir Prelovac in 2018. Visit each company's profile on Awaira for a full founder biography.

Elicit: Elicit is an AI search platform founded in 2021 that focuses on research and information discovery using large language models. The company has developed a search interface that employs AI to help users find, synthesize, and analyze information more efficiently than traditional search engines. Elicit's core approach involves using language models to understand user queries in natural language and surface relevant results alongside AI-generated summaries and insights. The platform targets researchers, academics, and knowledge workers who need to process large volumes of information quickly. Rather than returning simple ranked links, Elicit aims to provide contextual understanding and synthesis of information across sources. The company positions itself in the broader AI search landscape alongside competitors like Perplexity and traditional search engines adapting to AI capabilities. Elicit raised $33M in total funding and maintains a valuation of $100M, operating at Series A stage. The company reflects investor confidence in AI-enhanced search as an alternative to conventional information retrieval. Its technology builds on advances in large language models and retrieval-augmented generation techniques. The company's growth trajectory involves expanding its user base among professionals and institutions that benefit from AI-powered research assistance. Specific customer counts and revenue figures remain undisclosed. Elicit represents one approach to commercializing language models for practical information discovery applications. Elicit applies language models specifically to research and academic information discovery, differentiate itself through synthesis rather than ranking. 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. Elicit didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Elicit has about 35 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 Elicit and Kagi compete in AI Search, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.