Qdrant is a Vector Databases company founded in 2021 and based in Berlin, Germany. It has raised $87.8M in total funding, most recently a Series B in 2026.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Mar 12, 2026 | Series B | $50M | — | Advance Venture Partners |
| Jan 23, 2024 | Series A | $28M | — | Spark Capital |
| Apr 1, 2023 | Seed | $9.8M | $50M | Unusual Ventures |
A high-performance, Rust-written open-source vector search engine and database optimized for production AI applications. Supports dense, sparse, and multi-vector embeddings with advanced payload filtering using JSON conditions applied at query time. Technically notable for its custom HNSW graph implementation, binary quantization for 40x memory reduction, and on-disk indexing enabling billion-scale deployments on commodity hardware.
A fully managed cloud service for Qdrant, available on AWS, GCP, and Azure with automatic scaling, backups, and monitoring. Provides horizontal sharding and distributed deployment for high-throughput production workloads. Targets AI platform teams that want vector search without managing infrastructure, while retaining the full Qdrant API surface including filtering, sparse vectors, and multi-tenancy controls.