Phind vs Kagi

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. Phind employs 25 people, while Kagi has 45 employees.

Phind has raised more in total funding at $10.9M, compared to Kagi's $7M — a gap of $3.9M. Combined, the two companies have completed 2 known funding rounds.

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

Phind was founded by Michael Royzen in 2022. Kagi was founded by Vladimir Prelovac in 2018. Visit each company's profile on Awaira for a full founder biography.

Phind: Phind is an AI-powered search engine designed specifically for developers and technical users, founded in 2022 and currently at seed stage with $11M in total funding. The platform utilizes large language models to provide contextual search results tailored to programming queries, code snippets, and technical documentation. Unlike traditional search engines, Phind integrates code search capabilities with AI-driven explanations, enabling developers to find solutions faster and understand complex technical concepts more effectively. The company positions itself within the broader AI search category, competing with general-purpose search engines and specialized developer tools like Stack Overflow and GitHub Search. Phind's technology approach combines neural search with generative AI to return results that are more relevant to developer workflows. The platform supports multiple programming languages and frameworks, making it accessible across different development stacks. Phind targets individual developers and technical teams as primary users. The company's growth trajectory reflects increasing demand for AI-enhanced developer tools, particularly as organizations seek productivity improvements in software development. With seed-stage funding and undisclosed valuation, Phind remains in early growth phases. The company operates in a competitive landscape where AI search tools are proliferating, but the developer-specific focus provides differentiation. Phind's approach addresses genuine pain points in technical information discovery and code comprehension. Phind uniquely combines AI-powered search with code-specific indexing to optimize for developer workflows rather than general information retrieval. 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 4 years of extra runway. Phind didn't arrive until 2022. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Phind has about 25 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 Phind and Kagi compete in AI Search, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.