Consensus AI vs Kagi

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Consensus AI employs 35 people, while Kagi has 45 employees.

Consensus AI has raised more in total funding at $19.2M, compared to Kagi's $7M — a gap of $12.2M. Combined, the two companies have completed 2 known funding rounds.

Kagi leads with an Awaira Score of 55/100, while Consensus AI sits at 52/100. That 3-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

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

Consensus AI: Consensus AI operates an AI-powered search engine designed to help users navigate academic research and scientific literature. Founded in 2021, the company has developed a platform that uses artificial intelligence to aggregate, analyze, and synthesize information from peer-reviewed papers across multiple scientific disciplines. The core product enables researchers, academics, and knowledge workers to search through millions of research papers and receive AI-generated summaries and insights rather than manually reviewing individual studies. The platform addresses a significant pain point in academic research: the overwhelming volume of published papers and the time required to identify relevant findings. Consensus AI's technology employs natural language processing and machine learning to understand research content, extract key findings, and present synthesized answers to user queries. This positions the company within the broader AI search and knowledge management sector, competing with traditional academic databases and emerging AI-powered research tools. The company has secured $19M in total funding and currently operates at Series B stage. As of the latest available information, its valuation remains undisclosed. Consensus AI's growth trajectory reflects increasing adoption among academic institutions and research-focused professionals seeking efficient alternatives to conventional literature review methods. The company targets the expanding market for AI-assisted research and information discovery tools. Consensus AI applies large language models specifically to scientific literature search, automating research synthesis that traditionally required manual review of dozens or hundreds of papers. 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. Consensus 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.

Consensus AI 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 Consensus 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.