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hubspot case study on the customers page, renamed files (#1551)
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title: Customers
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description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
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caseStudy:
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logo:
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src: /img/customers-case-studies/customer-logo4.svg
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alt: Logo
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alt: Logo Dailymotion
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title: Recommendation Engine with Qdrant Vector Database
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description: Dailymotion leverages Qdrant to optimize its <b>video recommendation engine</b>, managing over 420 million videos and processing 13 million recommendations daily. With this, Dailymotion was able to <b>reduced content processing times from hours to minutes</b> and <b>increased user interactions and click-through rates by more than 3x.</b>
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link:
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caseStudy:
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logo:
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src: /img/customers-case-studies/hubspot-logo.svg
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alt: Logo
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title: "HubSpot & Qdrant: Scaling an Intelligent AI Assistant"
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description: HubSpot selected Qdrant because it significantly outperformed alternatives, ensuring that Breeze AI could quickly retrieve and rank relevant data. This was crucial for recommendation systems and contextual content retrieval, where speed and accuracy directly impact user engagement and satisfaction.
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link:
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text: Read Case Study
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url: /blog/case-study-hubspot/
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image:
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src: /img/customers-case-studies/case-study-hubspot.png
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alt: Preview
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sitemapExclude: true
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title: Customers
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description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
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caseStudy:
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logo:
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src: /img/customers-case-studies/customer-logo3.svg
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alt: Logo
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alt: Logo Nyris
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title: "Nyris & Qdrant: How Vectors are the Future of Visual Search"
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description: Nyris offers visual search solutions for various industries, using vector-based technology to quickly identify products. They selected Qdrant for its speed, accuracy, and scalability, advancing their vision of transforming product search with unified vector representations.
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link:
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title: Customers
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description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
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caseStudy:
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logo:
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src: /img/customers-case-studies/customer-logo1.svg
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alt: Logo
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alt: Logo Sprinklr
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title: How Sprinklr Leverages Qdrant to Enhance AI-Driven Customer Experience Solutions
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description: Sprinklr uses Qdrant to enhance its AI-driven customer experience management platform, improving data retrieval speed, efficiency, and <b>reducing costs by 30%</b>. This integration has also boosted developer productivity and ensured superior search performance across their AI applications.
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link:
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title: Customers
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description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
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caseStudy:
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logo:
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src: /img/customers-case-studies/customer-logo0.svg
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alt: Logo
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alt: Logo Deutsche Telekom
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title: How Deutsche Telekom Built a Multi-Agent Enterprise Platform Leveraging Qdrant
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description: Deutsche Telekom leveraged Qdrant to build an AI Agent Platform powering their multi-agent PaaS (LMOS), enabling scalable AI deployment across 10 European subsidiaries, supporting over 2 million conversations, and reducing agent development time from 15 days to just 2.
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link:
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title: Customers
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description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
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caseStudy:
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logo:
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src: /img/customers-case-studies/customer-logo2.svg
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alt: Logo
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alt: Logo Voiceflow
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title: "Voiceflow & Qdrant: Powering No-Code AI Agent Creation with Scalable Vector Search"
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description: Voiceflow enables enterprises to create AI agents in a no-code environment by designing workflows. Qdrant's features and infrastructure provided Voiceflow with a stable, scalable, and efficient solution for their data processing and retrieval needs.
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link:
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