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L3 · Data & Storage

Qdrant Solutions GmbH

Open-source vector search engine for AI apps.

Updated April 2026

Overview

Headquarters
Berlin, Germany

Product overview

Qdrant is an open-source vector search engine built in Rust, providing fast and scalable vector similarity search for production AI workloads. It serves as foundational memory for large language models and powers applications like RAG, AI agents, and healthcare AI with support for diverse data types including text, images, and video. The company raised $50M in Series B funding in 2026, bringing total funding to $87.8M.

Moat

  • Proprietary Technology
  • Scale Advantages
  • Brand

Qdrant Solutions GmbH's primary competitive moats are its proprietary technology in high-performance, composable vector search with predictable low tail latency at billion-scale, scale advantages from controlling the stack to assembly for edge-to-supercomputer deployment, and a strong open-source community driving user-friendliness and trust.

Headwinds

Competition from cloud-native vector database providers and hyperscale cloud vendors offering integrated vector search capabilities.