50 million dollars Series B for Qdrant

The AI infrastructure startup Qdrant has closed a Series B financing round of 50 million US dollars. The round is led by AVP (Atlantic Vantage Point). Other investors include Bosch Ventures, Unusual Ventures, Spark Capital and 42CAP.

The company is developing an open source search technology for AI applications. The aim is to provide a central infrastructure for so-called vector search, which plays an important role in modern AI systems.

Vector search is becoming the core infrastructure for AI applications

Many current AI applications are based on so-called retrieval processes. This involves retrieving information from large data sets in order to generate answers, recommendations or automated decisions.

Technologies such as retrieval augmented generation, semantic search or agent-based AI systems continuously rely on this type of data retrieval. While early vector databases mainly processed static data sets, modern systems have to process thousands of search queries per workflow and deal with constantly updated data at the same time.

Platform for flexible and scalable search

Qdrant's technology was developed specifically for these requirements. The search engine is written entirely in Rust and enables a modular structure of search processes.

Developers can combine different components of the search, including dense vectors, sparse vectors, metadata filters or individual evaluation functions. This allows the behavior of the search to be adapted to different requirements such as accuracy, speed or costs.

The concept is described by the company as compositional vector search. Teams can configure the individual components of the search directly instead of being dependent on fixed system specifications.

Use in cloud, data center and edge environments

Another focus is on the flexible provision of the infrastructure. The platform can be operated in cloud environments as well as in private data centers or edge systems. This flexibility is becoming increasingly important as many companies are integrating AI applications directly into operational business processes and using different infrastructure models.

Already in use now

Qdrant's technology is already being used by several international companies, including Tripadvisor, HubSpot, OpenTable, Bazaarvoice and Bosch.

According to the company, the open source project has more than 250 million downloads and over 29,000 stars on the developer platform GitHub.

The platform has also been included in several industry analyses, including The Forrester Wave Vector Databases Q3 2024 and GigaOm Radar for Vector Databases v3 2025. With the new funding, the company intends to further develop its technology and promote the use of vector search as a fundamental infrastructure for productive AI systems.