Qdrant B2B Case Studies & Customer Successes

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Qdrant is an open-source vector search engine. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more. Make the most of your Unstructured Data! Powering the next generation of AI applications with advanced and high-performant vector similarity search technology.

Case Studies

Showing 13 Qdrant Customer Success Stories

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Dailymotion boosts video recommendations with Qdrant Vector Search

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Deutsche Telekom scales enterprise AI agents with Qdrant

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Dust boosts employee productivity and cuts vector costs by 2x with Qdrant

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HubSpot & Qdrant Scaling an Intelligent AI Assistant

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IrisAgent improves customer support automation with Qdrant

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Transforming Wealth Management with AI-Driven Insights and Scalable Vector Search

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Kern AI achieves faster, more accurate insurance support with Qdrant

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How Vectors are the Future of Visual Search

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QA.tech achieves real-time, scalable AI testing with Qdrant

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Sprinklr achieves faster, lower-cost AI search with Qdrant

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Tripadvisor achieves 2–3x more revenue with Qdrant-powered AI

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VISUA achieves 10x scalable quality control with Qdrant

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Voiceflow achieves scalable, secure AI agent creation with Qdrant

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