Qdrant

Qdrant is a high-performance, open-source vector search engine and database built in Rust, designed to power the next generation of AI applications. The company provides scalable vector similarity search capabilities essential for various AI retrieval use cases, including Retrieval Augmented Generation (RAG), recommendation systems, advanced search, data analysis, anomaly detection, and AI agents. Qdrant offers flexible deployment models, including a fully managed Qdrant Cloud, Hybrid Cloud, Enterprise Solutions, Cloud Inference, and Edge deployments, catering to diverse infrastructure needs from on-premise to air-gapped environments.

The company was founded in 2021 by André Zayarni and Andrey Vasnetsov. Their collaboration began with a project focused on leveraging vector similarity search for unstructured data. After finding existing solutions lacking in features and scalability, Andrey Vasnetsov embarked on developing a production-ready vector search engine from the ground up. The initial open-source release quickly garnered significant developer interest, confirming a widespread need for such a tool and leading to the formal establishment of Qdrant.

Qdrant itself is a technology company that has successfully attracted significant venture capital investments. The firm completed its Series A funding round in January 2024, securing $28 million, led by Spark Capital with participation from existing investors Unusual Ventures and 42CAP. Demonstrating continued investor confidence, Qdrant further raised $59.2 million in a Series B funding round in February 2026, positioning the company to further capitalize on the rapid expansion of the AI and machine learning sectors.

The leadership team at Qdrant includes co-founders André Zayarni (CEO) and Andrey Vasnetsov (CTO), alongside key executives such as Fabrizio Schmidt (Product & Engineering), Bastian Hofmann (Enterprise Solutions), Dominik Alberts (Finance), Manuel Meyer (Growth), and Randy Petkoff (Sales). The company fosters a strong engineering culture that emphasizes teamwork, problem-solving, individual ownership, and continuous technological advancement, attracting over 100 experts across more than 20 countries.