Today, Qdrant announced $50M in Series B funding led by AVP, with participation from Bosch Ventures, Spark Capital, 42CAP, and us here at Unusual Ventures. We’re proud to continue supporting André and the Qdrant team as they build core infrastructure for production AI.
We first invested in Qdrant because of a simple conviction: as AI moves into production, retrieval becomes the critical path. Every RAG pipeline, every agent workflow, every multimodal search system depends on getting the right information back, fast and reliably, under real-world load. Our conviction has only strengthened.
What sets Qdrant apart is an architectural decision the team made from day one: build from the ground up in Rust, control the stack down to assembly, and treat every aspect of retrieval as a composable primitive that engineers control directly. The result is a vector search engine that adapts to the problem rather than forcing the problem to fit the tool. That’s a rare quality in infrastructure, and it’s why businesses like Canva, HubSpot, Bosch, Tripadvisor, and OpenTable run Qdrant in production today.
The traction speaks for itself: 250M+ downloads, 29,000 GitHub stars, recognition in the Forrester Wave for Vector Databases, and a growing list of enterprise customers who chose Qdrant because nothing else met their performance and flexibility requirements.
As AI systems scale from cloud to edge and from single queries to agentic loops running thousands of retrieval steps per workflow, the demands on search infrastructure will only intensify. Qdrant is built for exactly that future.
Congrats to André, the Qdrant team, and the open-source community driving this engine forward. We can’t wait to see what comes next.
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