Prague-based firm TopK, which builds an AI-powered search engine for better data retrieval, has secured $5.5 million in a seed funding round from Earlybird, KAYA, Irregular Expressions, and several angel investors, as Vestbee was told.
- Founded in 2024 by Marek Galovič and Jerguš Lejko, TopK develops a search engine that combines vector search, keyword matching, and filtering in a single query system.
- Headquartered in San Francisco, the firm supports retrieval across structured and unstructured data with low latency and enables customization of result ranking through flexible scoring.
- The platform handles large-scale datasets in both single-tenant and multi-tenant setups and supports semantic search over multiple data types.
- TopK enables integration with existing databases and infrastructures through SDKs and connectors, offering deployment options across multiple cloud environments. It also provides security and reliability features such as SOC 2 Type I compliance and a 99.9% uptime guarantee.
"The database market is undergoing a fundamental transformation. The boom in AI-native products is pushing the limits of traditional search systems which no longer meet current demands. Our platform addresses this shift in the market and provides a solution for developers and AI agents to unify structured and unstructured retrieval at scale," claims Marek Galovič, CEO and co-founder of TopK.
Details of the deal
- The recent funding round was supported by Earlybird, managing €2.5 billion in assets and focusing on early-stage tech investments across Europe; KAYA, which recently raised €70 million to support 25 startups in the CEE region; Irregular Expressions; and several angel investors.
"Companies are facing the limitations of current search systems. TopK brings a fundamental shift in how infrastructure is built, along with a deep understanding of the problems that development teams face every day. That’s why we support their vision to create a search system for the AI era,” General Partner at Earlybird, Andre Retterath, commented in a Press release.
- The fresh capital raised will be used to expand the team, speed up development, improve scalability, and enhance enterprise features such as natural language understanding and multi-modal data support.
