
Qdrant
High-performance vector search at scale
Berlin, Germany · Founded 2021 · $85.5M raised
- Headquarters
- Berlin
- Employees
- 51–200
- Founded
- 2021
- Business Model
- B2B
- Website
- qdrant.tech
- Total Funding
- $85.5M
- Last Round
- $50.0M Series BMar 2026
- Rounds
- 3
Totals include recorded grants and other qualifying funding, not just equity. What counts toward funding.
About
Qdrant is an open-source vector search engine and database built entirely in Rust, designed to power AI retrieval at any scale with high performance and low latency. The platform enables developers to store, search, and manage high-dimensional vector embeddings with advanced metadata filtering, native hybrid search combining dense and sparse vectors, and real-time indexing without rebuilding indices. Qdrant supports RAG pipelines, AI agents with persistent memory, semantic search, and recommendation systems, and is available as a fully managed cloud service or self-hosted deployment. The company has raised $85.5 million and serves customers including Slack, Adobe, HubSpot, Google DeepMind, and Qualcomm.
Summary
Qdrant is an Artificial Intelligence company based in Berlin, Germany, founded in 2021. It has raised $85.5M in total across 3 rounds, most recently a $50.0M Series B round in Mar 2026. Investors include Unusual Ventures, Spark Capital and AVP Ventures.
Tech & App Stack
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Funding History
Mar 2026
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Funding: Seed through Series B. Amounts, valuations, and investors where available.
Investors
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