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TopK delivers an AI-native search engine, functioning as a document database integrating multi-vector, keyword, and faceted search. This platform offers a composable query experience, enhancing relevance for modern AI applications. It emphasizes high performance, scalable vector search, and multi-modal data support, enabling rich semantic queries across diverse information.
Founded in 2024 by Marek Galovič (CEO) and Jerguš Lejko (CTO), TopK arose from the insight that AI advancements demanded a new database architecture. They recognized existing search solutions, including traditional vector databases, were insufficient for contemporary AI's complexity and scale, prompting them to engineer a novel search database.
The company targets enterprises and developers building sophisticated AI search applications, offering seamless integration with existing data infrastructures. TopK's long-term vision is to redefine search for the AI era, establishing a new paradigm. It aims to empower businesses with superior performance and deeper data insights as AI continues to evolve.
TopK has raised $6.0M across 1 funding round.
TopK has raised $6.0M in total across 1 funding round.
TopK has raised $6.0M in total across 1 funding round.
TopK's investors include Earlybird Venture Capital, Mantas Mikuckas, Irregular Expressions, Karel Zheng.
TopK has raised $6.0M across 1 funding round. Most recently, it raised $6.0M Seed in June 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jun 1, 2025 | $6M Seed | — | Earlybird Venture Capital, Mantas Mikuckas, Irregular Expressions, Karel Zheng | Announced |
TopK is a Prague-based technology startup founded in 2024 that builds an AI-native search engine for enterprises, specializing in a "true hybrid retrieval" platform combining vector search, keyword matching, and metadata filtering in a single cloud-native system.[1][2][3][4] It serves developers, data teams, and AI agents in sectors like finance, healthcare, e-commerce, and law, solving the limitations of traditional search systems that struggle with unstructured, multimodal data at scale—enabling precise, customizable retrieval to power reliable LLMs and agentic workflows.[1][2][3] TopK raised $5.5M (€4.6M) in seed funding to expand enterprise features, team growth, and multimodal support, positioning it as a developer-first alternative to patchwork tools or rigid vector databases.[1][2][3][4]
The platform offers blazing-fast performance (sub-10ms latency on millions of documents), full observability, domain-specific tuning, and integrations with stacks like Postgres, MongoDB, and Kafka, all while ensuring enterprise-grade security (SOC 2 Type I, 99.9% SLA) and predictable pricing.[2][4]
TopK was founded in 2024 by CEO Marek Galovič and Jerguš Lejko, high school friends who reunited after years building large-scale systems and AI tools.[2][3] Galovič, emphasizing the team's diversity (four founders from varied genders, backgrounds, and orientations), identified a key gap: as AI agents proliferate in workplaces, legacy retrieval systems fail on unstructured data, necessitating a unified hybrid engine.[1][3]
The idea emerged from frustrations with existing tools' trade-offs in speed, flexibility, and scale, leading them to stealth-develop a platform reimagining search from the ground up.[2][3] Early traction includes pilots in fintech, healthcare, law, and e-commerce, culminating in a $5.5M seed round led by investors like KAYA to fuel global expansion.[1][2][3]
TopK stands out through these key strengths:
TopK rides the AI-native database boom, where LLMs and agent workflows demand hybrid search for structured/unstructured data, exposing limits of traditional systems amid exploding enterprise AI adoption.[1][2][3] Timing is ideal post-2024 funding, as market forces like multimodal data growth and regulated industries (finance, healthcare) favor flexible, scalable solutions over legacy tools.[2][3]
It influences the ecosystem by empowering developers to build reliable AI apps without compromises, potentially becoming the "ultimate query layer" for advanced applications—shifting from siloed retrieval to unified platforms that boost agent accuracy.[1][4]
TopK is poised to capture share in the $XXB enterprise search market by delivering the fastest, most customizable hybrid engine, with plans for natural language understanding, web-scale multimodal support, and deeper integrations.[1][3][4] Trends like agentic AI proliferation and unstructured data dominance will propel growth, evolving its role from startup contender to infrastructure staple for AI-driven enterprises. As Galovič notes, it's transforming databases for the AI era—watch for rapid pilots turning into marquee wins.[3] This positions TopK to redefine search reliability, tying back to its mission as the Perplexity for corporates.[1]
