Qdrant Secures $28 Million in Series A

Qdrant, a Berlin, Germany-based open-source vector database specializing in managing and searching high-dimensional data, has secured $28 million in Series A.

The round was led by Spark Capital, with participation from existing investors Unusual Ventures and 42CAP.

Qdrant Use of Funds

The company will use the funding to accelerate its trajectory in the vector database domain.

Qdrant is a developer of a vector similarity search technology designed to power the next generation of artificial intelligence (AI) applications. The company, committed to privacy and security, offers on-premise and hybrid SaaS solutions, expanding its managed cloud offerings through collaborations with AWS, Google Cloud, and Microsoft Azure. Qdrant is able to handle billions of vectors, supports the matching of semantically complex objects, and is implemented in Rust for performance, memory safety, and scale.

Funding Details

Company: Qdrant Solutions GmbH

Raised: $28.0M

Round: Series A

Funding Month: January 2024

Lead Investors: Spark Capital

Additional Investors: Unusual Ventures and 42CAP

Company Website: https://qdrant.tech/

Software Category: Vector Similarity Search Engine and Vector Database