mirror of
https://github.com/qdrant/landing_page.git
synced 2026-10-03 09:58:30 +02:00
update Customers page (#2229)
* update Customers page * minor tweaks * update card logo, move customers js * content and small fix (#2240) * add missing customers logos and partition --------- Co-authored-by: trean <trean.mi@gmail.com>
This commit is contained in:
nastyapash
@@ -18,6 +18,7 @@ tags:
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- customer support
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- multitenancy
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- case study
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partition: case-studies
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---
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# How Alhena AI unified its AI stack and accelerated ecommerce outcomes with Qdrant
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@@ -15,6 +15,7 @@ tags:
|
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- retrieval-augmented generation
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- case study
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- patent law
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partition: case-studies
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---
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|
||||
|
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|
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@@ -18,6 +18,7 @@ tags:
|
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- agentic ai
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- privacy
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- case study
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partition: case-studies
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---
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@@ -17,6 +17,7 @@ tags:
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- hybrid search
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- AI automation
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- case study
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partition: case-studies
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---
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## Precision at Scale: How Aracor Uses Qdrant to Accelerate Legal Due Diligence Resulting in 90% Faster Workflows ##
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@@ -17,6 +17,7 @@ tags:
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- product insights
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- cost optimization
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- case study
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partition: case-studies
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---
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@@ -12,6 +12,7 @@ author: Qdrant Team
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featured: false
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aliases:
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- /case-studies/bloop/
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partition: case-studies
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---
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Founded in early 2021, [bloop](https://bloop.ai/) was one of the first companies to tackle semantic
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@@ -16,6 +16,7 @@ tags:
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- latency reduction
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- revenue growth
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- case study
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partition: case-studies
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---
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## How ConvoSearch Boosted E-commerce Revenue with Qdrant
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@@ -17,6 +17,7 @@ tags:
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- color search
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- creative discovery
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- case study
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partition: case-studies
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---
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@@ -19,6 +19,7 @@ tags: # Change this, related by tags posts will be shown on the blog page
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- recommender system
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weight: 0 # Change this weight to change order of posts
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# For more guidance, see https://github.com/qdrant/landing_page?tab=readme-ov-file#blog
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partition: case-studies
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---
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||||
|
||||
## Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Search
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@@ -12,7 +12,7 @@ featured: false
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tags:
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- Deutsche Telekom
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- case_study
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partition: case-studies
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---
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**How Deutsche Telekom Built a Scalable, Multi-Agent Enterprise Platform Leveraging Qdrant—Powering Over 2 Million Conversations Across Europe**
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@@ -17,6 +17,7 @@ tags:
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- Split AI
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- float16 optimization
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- case study
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partition: case-studies
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---
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@@ -15,6 +15,7 @@ tags:
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- multi-tenancy
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- scalar quantization
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- case study
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partition: case-studies
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---
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## Inside Dust’s Vector Stack Overhaul: Scaling to 5,000+ Data Sources with Qdrant
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@@ -15,6 +15,7 @@ tags:
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- hybrid search
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- AI in journalism
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- case study
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partition: case-studies
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---
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# How FAZ Built a Hybrid Search Engine with Qdrant to Unlock 75 Years of Journalism
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@@ -17,6 +17,7 @@ tags:
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- cost reduction
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- reliability
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- case study
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partition: case-studies
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---
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## Fieldy AI’s migration to Qdrant: Building a fault-tolerant AI memory platform
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@@ -16,6 +16,7 @@ tags:
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- real-time search
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- trust and safety
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- case study
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partition: case-studies
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---
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### Tackling fraud and abuse with scalable similarity search
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@@ -15,6 +15,7 @@ tags:
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- patent analysis
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- intellectual property
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- case study
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partition: case-studies
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---
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## Garden Accelerates Patent Intelligence with Qdrant’s Filterable Vector Search
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@@ -18,6 +18,7 @@ tags:
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- nodejs
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- cost reduction
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- case study
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partition: case-studies
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||||
---
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||||
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||||
|
||||
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@@ -16,6 +16,7 @@ tags:
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- semantic search
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- enterprise AI
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- case study
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partition: case-studies
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---
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@@ -14,7 +14,8 @@ tags:
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- AI scalability
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- customer engagement
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- case study
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- HubSpot
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- HubSpot
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partition: case-studies
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---
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HubSpot, a global leader in CRM solutions, continuously enhances its product suite with powerful AI-driven features. To optimize Breeze AI, its flagship intelligent assistant, HubSpot chose Qdrant as its vector database.
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@@ -15,6 +15,7 @@ tags:
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- Performance Scalability
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- Multi-Tenancy
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- Financial Recommendations
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partition: case-studies
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---
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||||
|
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@@ -16,6 +16,7 @@ tags:
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- retrieval-augmented generation
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- internal knowledge search
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- case study
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partition: case-studies
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---
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<a href="https://www.kakaocorp.com/" target="_blank">Kakao</a> is one of South Korea's leading technology companies, best known for KakaoTalk, the country's dominant messaging platform with over 48 million monthly active users. Beyond messaging, Kakao operates a broad ecosystem of services including maps, mobility, fintech, and enterprise solutions.
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@@ -15,6 +15,7 @@ tags:
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- Johannes Hötter
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- Data Analysis
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- Markel Insurance
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partition: case-studies
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---
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@@ -16,6 +16,7 @@ tags:
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- binary quantization
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- hybrid search
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- case study
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partition: case-studies
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---
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## How Lawme Scaled AI Legal Assistants and Cut Costs by 75% with Qdrant
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@@ -18,6 +18,7 @@ tags:
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- document intelligence
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- regulated industries
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- case study
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partition: case-studies
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---
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# Scaled Vector & Graph Retrieval: How Lettria Unlocked 20% Accuracy Gains with Qdrant & Neo4j
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@@ -15,6 +15,7 @@ tags:
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- AI agents
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- scalable infrastructure
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- case study
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partition: case-studies
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---
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# How Lyzr Supercharged AI Agent Performance with Qdrant
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@@ -14,7 +14,8 @@ tags:
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- vector search
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- multimodal AI
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- retrieval-augmented generation
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- case study
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- case study
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partition: case-studies
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---
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# How Mixpeek Uses Qdrant for Efficient Multimodal Feature Stores
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@@ -17,6 +17,7 @@ tags:
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- hybrid search
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- llm agents
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- case study
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partition: case-studies
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---
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@@ -14,6 +14,7 @@ tags:
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- Markus Lukasson
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- Visual Search
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- Synthetic Data
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partition: case-studies
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---
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|
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@@ -17,6 +17,7 @@ tags:
|
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- sparse embeddings
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- filtering
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- case study
|
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partition: case-studies
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---
|
||||
|
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## **Reinventing Restaurant Discovery: How OpenTable built Concierge, an AI Dining Assistant**
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@@ -15,6 +15,7 @@ tags:
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- recruitment tech
|
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- candidate matching
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- case study
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partition: case-studies
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---
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@@ -16,6 +16,7 @@ tags:
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- vector search
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- AI in insurance
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- case study
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partition: case-studies
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---
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@@ -16,6 +16,7 @@ tags:
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- multivector
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- semantic search
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- case study
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partition: case-studies
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---
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@@ -12,6 +12,7 @@ author: Qdrant Team
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featured: false
|
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aliases:
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- /case-studies/pienso/
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partition: case-studies
|
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---
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The partnership between Pienso and Qdrant is set to revolutionize interactive deep learning, making it practical, efficient, and scalable for global customers. Pienso's low-code platform provides a streamlined and user-friendly process for deep learning tasks. This exceptional level of convenience is augmented by Qdrant’s scalable and cost-efficient high vector computation capabilities, which enable reliable retrieval of similar vectors from high-dimensional spaces.
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@@ -16,6 +16,7 @@ tags:
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- real-time analytics
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- user intent
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- case study
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partition: case-studies
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---
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## **How PortfolioMind delivered real-time crypto intelligence with Qdrant**
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@@ -15,6 +15,7 @@ tags:
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- PGVector
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- Agents
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- Retrieval Augmented Generation
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partition: case-studies
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---
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@@ -15,6 +15,7 @@ tags:
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- DevOps automation
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- AI Copilot
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- case study
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partition: case-studies
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---
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## Qovery Scales Real-Time DevOps Automation with Qdrant
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@@ -16,6 +16,7 @@ tags:
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- government AI
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- scalable infrastructure
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- data privacy
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partition: case-studies
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---
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@@ -11,6 +11,7 @@ featured: false
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tags:
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- Shakudo
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- Vector Search
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partition: case-studies
|
||||
---
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||||
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||||
We are excited to announce that Qdrant has partnered with [Shakudo](https://www.shakudo.io/), bringing [Qdrant Hybrid Cloud](https://qdrant.tech/hybrid-cloud/) to Shakudo’s virtual private cloud (VPC) deployments. This collaboration allows Shakudo clients to seamlessly integrate Qdrant’s high-performance vector database as a managed service into their private infrastructure, ensuring data sovereignty, scalability, and low-latency vector search for enterprise AI applications.
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@@ -15,6 +15,7 @@ tags:
|
||||
- Qdrant Benchmarks
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||||
- ElasticSearch
|
||||
- Vector Search
|
||||
partition: case-studies
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---
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|
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|
||||
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@@ -17,6 +17,7 @@ tags:
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- latency optimization
|
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- case study
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- Edge
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partition: case-studies
|
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---
|
||||
|
||||
|
||||
|
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@@ -15,6 +15,7 @@ tags:
|
||||
- travel technology
|
||||
- vector search
|
||||
- case study
|
||||
partition: case-studies
|
||||
---
|
||||
|
||||
# How Tripadvisor Is Reimagining Travel with Qdrant
|
||||
|
||||
@@ -17,6 +17,7 @@ tags:
|
||||
- enterprise AI
|
||||
- scalability
|
||||
- case study
|
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partition: case-studies
|
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---
|
||||
|
||||
|
||||
|
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@@ -15,6 +15,7 @@ tags:
|
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- computer vision
|
||||
- quality control
|
||||
- anomaly detection
|
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partition: case-studies
|
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---
|
||||
|
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|
||||
|
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@@ -16,6 +16,7 @@ tags:
|
||||
- vector search
|
||||
- RAG
|
||||
- case study
|
||||
partition: case-studies
|
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---
|
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|
||||
|
||||
|
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@@ -17,6 +17,7 @@ tags:
|
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- knowledge engine
|
||||
- latency optimization
|
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- case study
|
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partition: case-studies
|
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---
|
||||
|
||||
|
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|
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@@ -16,6 +16,7 @@ tags:
|
||||
- customer support
|
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weight: 0 # Change this weight to change order of posts
|
||||
# For more guidance, see https://github.com/qdrant/landing_page?tab=readme-ov-file#blog
|
||||
partition: case-studies
|
||||
---
|
||||
|
||||
Artificial intelligence is evolving customer support, offering unprecedented capabilities for automating interactions, understanding user needs, and enhancing the overall customer experience. [IrisAgent](https://irisagent.com/), founded by former Google product manager [Palak Dalal Bhatia](https://www.linkedin.com/in/palakdalal/), demonstrates the concrete impact of AI on customer support with its AI-powered customer support automation platform.
|
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|
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@@ -0,0 +1,557 @@
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---
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url: "/customers/"
|
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clients:
|
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- id: alhena
|
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name: Alhena AI
|
||||
industry: E-commerce
|
||||
product: Qdrant Cloud
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Customer support", "E-commerce discovery", "Generative AI"]
|
||||
title: "How Alhena AI unified its AI stack and improved ecommerce conversions with Qdrant"
|
||||
# time: 8 min read # by default this is calculated from the post length, if uncomented - shows this param value instead
|
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blog_path: /blog/case-study-alhena
|
||||
logo:
|
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src: /img/customers-case-studies-logo/alhena.svg
|
||||
alt: Alhena AI logo
|
||||
- id: and-ai
|
||||
name: "&AI"
|
||||
industry: Legal tech
|
||||
product: Qdrant Cloud
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Patent and legal research", "RAG", "Hybrid search"]
|
||||
title: "How &AI scaled global legal retrieval with Qdrant"
|
||||
blog_path: /blog/case-study-and-ai
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/and-ai.svg
|
||||
alt: "&AI logo"
|
||||
- id: anima-health
|
||||
name: Anima Health
|
||||
industry: Healthcare
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["RAG", "Customer support", "Real-time analytics"]
|
||||
title: "How Anima Health scaled clinical document intelligence with Qdrant"
|
||||
blog_path: /blog/case-study-anima-health
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/anima-health.svg
|
||||
alt: Anima Health logo
|
||||
- id: aracor
|
||||
name: Aracor
|
||||
industry: Legal tech
|
||||
product: Hybrid
|
||||
company_size: 1-50
|
||||
location: North America
|
||||
use_cases: ["Patent and legal research", "Hybrid search", "RAG"]
|
||||
title: "Precision at Scale: How Aracor Accelerated Legal Due Diligence with Hybrid Vector Search"
|
||||
blog_path: /blog/case-study-aracor
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/aracor.svg
|
||||
alt: Aracor logo
|
||||
- id: bazaarvoice
|
||||
name: Bazaarvoice
|
||||
industry: E-commerce
|
||||
product: Hybrid
|
||||
company_size: 1000+
|
||||
location: North America
|
||||
use_cases: ["E-commerce discovery", "Recommendations", "Real-time analytics"]
|
||||
title: "How Bazaarvoice scaled AI-powered product insights with Qdrant"
|
||||
blog_path: /blog/case-study-bazaarvoice
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/bazaarvoice.svg
|
||||
alt: Bazaarvoice logo
|
||||
- id: bloop
|
||||
name: Bloop
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 1-50
|
||||
location: Europe
|
||||
use_cases: ["Semantic search", "RAG"]
|
||||
title: "Powering Bloop semantic code search"
|
||||
blog_path: /blog/case-study-bloop
|
||||
logo:
|
||||
src: /case-studies/bloop/bloop-logo.png
|
||||
alt: Bloop logo
|
||||
- id: convosearch
|
||||
name: ConvoSearch
|
||||
industry: E-commerce
|
||||
product: Qdrant Cloud
|
||||
company_size: 1-50 by
|
||||
locationse: Asia Pacific
|
||||
use_cases: ["Recommendations", "E-commerce discovery", "Real-time analytics"]
|
||||
title: "How ConvoSearch Boosted Revenue for D2C Brands with Qdrant"
|
||||
blog_path: /blog/case-study-convosearch
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/convosearch.svg
|
||||
alt: ConvoSearch logo
|
||||
- id: cosmos
|
||||
name: Cosmos
|
||||
industry: Media and entertainment
|
||||
product: Qdrant Cloud
|
||||
company_size: 1-50
|
||||
location: North America
|
||||
use_cases: ["Multimodal search", "Hybrid search", "Media search"]
|
||||
title: "How Cosmos delivered editorial-grade visual search with Qdrant"
|
||||
blog_path: /blog/case-study-cosmos
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/cosmos.svg
|
||||
alt: Cosmos logo
|
||||
- id: dailymotion
|
||||
name: Dailymotion
|
||||
industry: Media and entertainment
|
||||
product: Self-managed
|
||||
company_size: 201-1000
|
||||
location: Europe
|
||||
use_cases: ["Recommendations", "Media search", "Real-time analytics"]
|
||||
title: "Dailymotion's Journey to Crafting the Ultimate Content-Driven Video Recommendation Engine with Qdrant Vector Search"
|
||||
blog_path: /blog/case-study-dailymotion
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/dailymotion.svg
|
||||
alt: Dailymotion logo
|
||||
- id: deutsche-telekom
|
||||
name: Deutsche Telekom
|
||||
industry: Telecommunications
|
||||
product: Qdrant Enterprise
|
||||
company_size: 1000+
|
||||
location: Europe
|
||||
use_cases: ["Customer support", "RAG", "Generative AI"]
|
||||
title: "How Deutsche Telekom Built a Multi-Agent Enterprise Platform Leveraging Qdrant"
|
||||
blog_path: /blog/case-study-deutsche-telekom
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/telekom.svg
|
||||
alt: Deutsche Telekom logo
|
||||
- id: dragonfruit
|
||||
name: Dragonfruit AI
|
||||
industry: Security
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: North America
|
||||
use_cases: ["Multimodal search", "Real-time analytics", "Threat detection"]
|
||||
title: "How Dragonfruit AI scaled real-time computer vision with Qdrant"
|
||||
blog_path: /blog/case-study-dragonfruit
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/dragonfruit.svg
|
||||
alt: Dragonfruit AI logo
|
||||
- id: dust
|
||||
name: Dust
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["RAG", "Semantic search", "Customer support"]
|
||||
title: "How Dust Scaled to 5,000+ Data Sources with Qdrant"
|
||||
blog_path: /blog/case-study-dust-v2
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/dust.svg
|
||||
alt: Dust logo
|
||||
- id: faz
|
||||
name: FAZ
|
||||
industry: Media and entertainment
|
||||
product: Hybrid
|
||||
company_size: 1000+
|
||||
location: Europe
|
||||
use_cases: ["Hybrid search", "Media search", "Semantic search"]
|
||||
title: "How FAZ unlocked 75 years of journalism with Qdrant"
|
||||
blog_path: /blog/case-study-faz
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/faz.svg
|
||||
alt: FAZ logo
|
||||
- id: fieldy
|
||||
name: Fieldy AI
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 1-50
|
||||
location: Europe
|
||||
use_cases: ["RAG", "Hybrid search", "Semantic search"]
|
||||
title: "How Fieldy AI Achieved Reliable AI Memory with Qdrant"
|
||||
blog_path: /blog/case-study-fieldy
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/fieldy.svg
|
||||
alt: Fieldy AI logo
|
||||
- id: flipkart
|
||||
name: Flipkart
|
||||
industry: E-commerce
|
||||
product: Self-managed
|
||||
company_size: 1000+
|
||||
location: Asia Pacific
|
||||
use_cases: ["Threat detection", "Multimodal search", "Real-time analytics"]
|
||||
title: "Building real-time multimodal similarity search in Flipkart Trust & Safety with Qdrant"
|
||||
blog_path: /blog/case-study-flipkart
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/flipkart.svg
|
||||
alt: Flipkart logo
|
||||
- id: garden-intel
|
||||
name: Garden
|
||||
industry: Legal tech
|
||||
product: Qdrant Cloud
|
||||
company_size: 1-50
|
||||
location: North America
|
||||
use_cases: ["Patent and legal research", "Semantic search", "Real-time analytics"]
|
||||
title: "How Garden Scaled Patent Intelligence with Qdrant"
|
||||
blog_path: /blog/case-study-garden-intel
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/garden.svg
|
||||
alt: Garden logo
|
||||
- id: glassdollar
|
||||
name: GlassDollar
|
||||
industry: Financial services
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Semantic search", "RAG", "Recommendations"]
|
||||
title: "How GlassDollar improved high-recall sourcing by migrating from Elasticsearch to Qdrant"
|
||||
blog_path: /blog/case-study-glassdollar
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/glassdollar.svg
|
||||
alt: GlassDollar logo
|
||||
- id: gooddata
|
||||
name: GoodData
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 201-1000
|
||||
location: Europe
|
||||
use_cases: ["Real-time analytics", "RAG", "Generative AI"]
|
||||
title: "How GoodData turbocharged AI analytics with Qdrant"
|
||||
blog_path: /blog/case-study-gooddata
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/gooddata.svg
|
||||
alt: GoodData logo
|
||||
- id: hubspot
|
||||
name: HubSpot
|
||||
industry: Customer support
|
||||
product: Qdrant Enterprise
|
||||
company_size: 1000+
|
||||
location: North America
|
||||
use_cases: ["Customer support", "Recommendations", "RAG"]
|
||||
title: "HubSpot & Qdrant: Scaling an Intelligent AI Assistant"
|
||||
blog_path: /blog/case-study-hubspot
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/hubspot.svg
|
||||
alt: HubSpot logo
|
||||
- id: kairoswealth
|
||||
name: Kairoswealth
|
||||
industry: Financial services
|
||||
product: Self-managed
|
||||
company_size: 1-50
|
||||
location: Europe
|
||||
use_cases: ["Recommendations", "RAG", "Generative AI"]
|
||||
title: "Kairoswealth & Qdrant: Transforming Wealth Management with AI-Driven Insights and Scalable Vector Search"
|
||||
blog_path: /blog/case-study-kairoswealth
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/kairos.svg
|
||||
alt: Kairoswealth logo
|
||||
- id: kakao
|
||||
name: Kakao
|
||||
industry: Technology
|
||||
product: Self-managed
|
||||
company_size: 1000+
|
||||
location: Asia Pacific
|
||||
use_cases: ["Customer support", "Hybrid search", "RAG"]
|
||||
title: "How Kakao Built an AI-Powered Internal Service Desk with Qdrant"
|
||||
blog_path: /blog/case-study-kakao
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/kakao.svg
|
||||
alt: Kakao logo
|
||||
- id: kern
|
||||
name: Kern AI
|
||||
industry: Financial services
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Customer support", "RAG", "Semantic search"]
|
||||
title: "Kern AI & Qdrant: Precision AI Solutions for Finance and Insurance"
|
||||
blog_path: /blog/case-study-kern
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/kern-ai.svg
|
||||
alt: Kern AI logo
|
||||
- id: lawme
|
||||
name: Lawme
|
||||
industry: Legal tech
|
||||
product: Hybrid
|
||||
company_size: 1-50
|
||||
location: Asia Pacific
|
||||
use_cases: ["Patent and legal research", "Hybrid search", "RAG"]
|
||||
title: "How Lawme Scaled AI Legal Assistants and Significantly Cut Costs with Qdrant"
|
||||
blog_path: /blog/case-study-lawme
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/lawme-ai.svg
|
||||
alt: Lawme logo
|
||||
- id: lettria
|
||||
name: Lettria
|
||||
industry: Legal tech
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["RAG", "Hybrid search", "Patent and legal research"]
|
||||
title: "GraphRAG: How Lettria Unlocked 20% Accuracy Gains with Qdrant and Neo4j"
|
||||
blog_path: /blog/case-study-lettria-v2
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/lettria.svg
|
||||
alt: Lettria logo
|
||||
- id: lyzr
|
||||
name: Lyzr
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Asia Pacific
|
||||
use_cases: ["RAG", "Generative AI", "Customer support"]
|
||||
title: "How Lyzr Supercharged AI Agent Performance with Qdrant"
|
||||
blog_path: /blog/case-study-lyzr
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/lyzr.svg
|
||||
alt: Lyzr logo
|
||||
- id: mixpeek
|
||||
name: Mixpeek
|
||||
industry: Media and entertainment
|
||||
product: Self-managed
|
||||
company_size: 1-50
|
||||
location: North America
|
||||
use_cases: ["Multimodal search", "RAG", "Media search"]
|
||||
title: "How Mixpeek Uses Qdrant for Efficient Multimodal Feature Stores"
|
||||
blog_path: /blog/case-study-mixpeek
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/mixpeek.svg
|
||||
alt: Mixpeek logo
|
||||
- id: my-askai
|
||||
name: My AskAI
|
||||
industry: Customer support
|
||||
product: Qdrant Cloud
|
||||
company_size: 1-50
|
||||
location: Europe
|
||||
use_cases: ["Customer support", "RAG", "Hybrid search"]
|
||||
title: "How My AskAI Built Self-Improving Support Agents"
|
||||
blog_path: /blog/case-study-my-askai
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/my-askai.svg
|
||||
alt: My AskAI logo
|
||||
- id: nyris
|
||||
name: Nyris
|
||||
industry: E-commerce
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Multimodal search", "E-commerce discovery", "Media search"]
|
||||
title: "Nyris & Qdrant: How Vectors are the Future of Visual Search"
|
||||
blog_path: /blog/case-study-nyris
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/nyris.svg
|
||||
alt: Nyris logo
|
||||
- id: open-table
|
||||
name: OpenTable
|
||||
industry: Hospitality
|
||||
product: Qdrant Cloud
|
||||
company_size: 1000+
|
||||
location: North America
|
||||
use_cases: ["Generative AI", "RAG", "Semantic search"]
|
||||
title: "How OpenTable Reinvented Restaurant Discovery with Qdrant"
|
||||
blog_path: /blog/case-study-opentable
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/opentable.svg
|
||||
alt: OpenTable logo
|
||||
- id: pariti
|
||||
name: Pariti
|
||||
industry: Technology
|
||||
product: Qdrant Cloud
|
||||
company_size: 1-50
|
||||
location: Global
|
||||
use_cases: ["Recommendations", "Semantic search", "Real-time analytics"]
|
||||
title: "How Pariti Doubled Its Fill Rate with Qdrant"
|
||||
blog_path: /blog/case-study-pariti
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/pariti.svg
|
||||
alt: Pariti logo
|
||||
- id: pathwork
|
||||
name: Pathwork
|
||||
industry: Financial services
|
||||
product: Qdrant Cloud
|
||||
company_size: 1-50
|
||||
location: North America
|
||||
use_cases: ["RAG", "Recommendations", "Real-time analytics"]
|
||||
title: "Pathwork Optimizes Life Insurance Underwriting with Precision Vector Search"
|
||||
blog_path: /blog/case-study-pathwork
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/pathwork.svg
|
||||
alt: Pathwork logo
|
||||
- id: pento
|
||||
name: Pento
|
||||
industry: Technology
|
||||
product: Self-managed
|
||||
company_size: 1-50
|
||||
location: Europe
|
||||
use_cases: ["Recommendations", "Semantic search", "Multimodal search"]
|
||||
title: "How Pento modeled aesthetic taste with Qdrant"
|
||||
blog_path: /blog/case-study-pento
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/pento.svg
|
||||
alt: Pento logo
|
||||
- id: pienso
|
||||
name: Pienso
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: North America
|
||||
use_cases: ["Generative AI", "RAG", "Semantic search"]
|
||||
title: "Pienso & Qdrant: Future Proofing Generative AI for Enterprise-Level Customers"
|
||||
blog_path: /blog/case-study-pienso
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/pienso.svg
|
||||
alt: Pienso logo
|
||||
- id: portfolio-mind
|
||||
name: PortfolioMind
|
||||
industry: Financial services
|
||||
product: Qdrant Cloud
|
||||
company_size: 1-50
|
||||
location: Global
|
||||
use_cases: ["Real-time analytics", "Recommendations", "Semantic search"]
|
||||
title: "How PortfolioMind Delivered Real-Time Crypto Intelligence with Qdrant"
|
||||
blog_path: /blog/case-study-portfolio-mind
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/spoon-os.svg
|
||||
alt: PortfolioMind logo
|
||||
- id: qatech
|
||||
name: QA.tech
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 1-50
|
||||
location: Europe
|
||||
use_cases: ["Real-time analytics", "RAG", "Threat detection"]
|
||||
title: "Empowering QA.tech’s Testing Agents with Real-Time Precision and Scale"
|
||||
blog_path: /blog/case-study-qatech
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/qa.tech.svg
|
||||
alt: QA.tech logo
|
||||
- id: qovery
|
||||
name: Qovery
|
||||
industry: Developer tools
|
||||
product: Qdrant Cloud
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Customer support", "RAG", "Real-time analytics"]
|
||||
title: "How Qovery Accelerated Developer Autonomy with Qdrant"
|
||||
blog_path: /blog/case-study-qovery
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/qovery.svg
|
||||
alt: Qovery logo
|
||||
- id: sayone
|
||||
name: SayOne
|
||||
industry: Technology
|
||||
product: Hybrid
|
||||
company_size: 201-1000
|
||||
location: Asia Pacific
|
||||
use_cases: ["Customer support", "RAG", "Real-time analytics"]
|
||||
title: "How SayOne Enhanced Government AI Services with Qdrant"
|
||||
blog_path: /blog/case-study-sayone
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/sayone.svg
|
||||
alt: SayOne logo
|
||||
- id: shakudo
|
||||
name: Shakudo
|
||||
industry: Developer tools
|
||||
product: Hybrid
|
||||
company_size: 51-200
|
||||
location: North America
|
||||
use_cases: ["Semantic search", "RAG", "Recommendations"]
|
||||
title: "Qdrant and Shakudo: Secure & Performant Vector Search in VPC Environments"
|
||||
blog_path: /blog/case-study-shakudo
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/shakudo.svg
|
||||
alt: Shakudo logo
|
||||
- id: sprinklr
|
||||
name: Sprinklr
|
||||
industry: Customer support
|
||||
product: Qdrant Enterprise
|
||||
company_size: 1000+
|
||||
location: North America
|
||||
use_cases: ["Customer support", "RAG", "Real-time analytics"]
|
||||
title: "How Sprinklr Leverages Qdrant to Enhance AI-Driven Customer Experience Solutions"
|
||||
blog_path: /blog/case-study-sprinklr
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/sprinklr.svg
|
||||
alt: Sprinklr logo
|
||||
- id: tavus
|
||||
name: Tavus
|
||||
industry: Media and entertainment
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: North America
|
||||
use_cases: ["Generative AI", "RAG", "Real-time analytics"]
|
||||
title: "How Tavus used Qdrant Edge to create conversational AI"
|
||||
blog_path: /blog/case-study-tavus
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/tavus.svg
|
||||
alt: Tavus logo
|
||||
- id: tripadvisor
|
||||
name: Tripadvisor
|
||||
industry: Hospitality
|
||||
product: Qdrant Enterprise
|
||||
company_size: 1000+
|
||||
location: North America
|
||||
use_cases: ["Recommendations", "Generative AI", "Multimodal search"]
|
||||
title: "How Tripadvisor Drives 2 to 3x More Revenue with Qdrant-Powered AI"
|
||||
blog_path: /blog/case-study-tripadvisor
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/tripadvisor.svg
|
||||
alt: Tripadvisor logo
|
||||
- id: trust-graph
|
||||
name: TrustGraph
|
||||
industry: Developer tools
|
||||
product: Self-managed
|
||||
company_size: 1-50
|
||||
location: Europe
|
||||
use_cases: ["RAG", "Generative AI", "Semantic search"]
|
||||
title: "How TrustGraph built enterprise-grade agentic AI with Qdrant"
|
||||
blog_path: /blog/case-study-trustgraph
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/trust-graph.svg
|
||||
alt: TrustGraph logo
|
||||
- id: visua
|
||||
name: VISUA
|
||||
industry: Security
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Multimodal search", "Threat detection", "Media search"]
|
||||
title: Using vector search for quality control and anomaly detection in computer vision.
|
||||
blog_path: /blog/case-study-visua
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/visua.svg
|
||||
alt: VISUA logo
|
||||
- id: voiceflow
|
||||
name: Voiceflow
|
||||
industry: Customer support
|
||||
product: Qdrant Cloud
|
||||
company_size: 201-1000
|
||||
location: North America
|
||||
use_cases: ["Customer support", "RAG", "Generative AI"]
|
||||
title: "Voiceflow & Qdrant: Powering No-Code AI Agent Creation with Scalable Vector Search"
|
||||
blog_path: /blog/case-study-voiceflow
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/voiceflow.svg
|
||||
alt: Voiceflow logo
|
||||
- id: xaver
|
||||
name: Xaver
|
||||
industry: Financial services
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: Europe
|
||||
use_cases: ["Customer support", "RAG", "Recommendations"]
|
||||
title: "How Xaver scaled personalized financial advice with Qdrant"
|
||||
blog_path: /blog/case-study-xaver
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/xaver.svg
|
||||
alt: Xaver logo
|
||||
- id: iris-agent
|
||||
name: IrisAgent
|
||||
industry: Customer support
|
||||
product: Self-managed
|
||||
company_size: 51-200
|
||||
location: North America
|
||||
use_cases: ["Customer support", "RAG", "Generative AI"]
|
||||
title: "IrisAgent and Qdrant: Redefining Customer Support with AI"
|
||||
blog_path: /blog/iris-agent-qdrant
|
||||
logo:
|
||||
src: /img/customers-case-studies-logo/iris-agent.svg
|
||||
alt: IrisAgent logo
|
||||
---
|
||||
@@ -1,6 +1,34 @@
|
||||
---
|
||||
title: Customers
|
||||
description: Learn how Qdrant powers thousands of top AI solutions that require vector search with unparalleled efficiency, performance and massive-scale data processing.
|
||||
tag:
|
||||
title: Customer Case Studies
|
||||
icon:
|
||||
src: /icons/outline/book-open-text-purple.svg
|
||||
alt: Open book
|
||||
button:
|
||||
text: Talk to Sales
|
||||
url: /contact-us/
|
||||
cards:
|
||||
- id: 0
|
||||
image:
|
||||
src: /img/customers-hero/telekom.svg
|
||||
alt: Telekom logo
|
||||
description: Built a multi-agent PaaS powering 2M+ conversations across 10 countries, cutting agent dev time from 15 days to 2.
|
||||
- id: 1
|
||||
image:
|
||||
src: /img/customers-hero/hubspot.svg
|
||||
alt: Hubspot logo
|
||||
description: Powers its Breeze AI after Qdrant outperformed alternatives on retrieval speed for RAG and recommendation workloads.
|
||||
- id: 2
|
||||
image:
|
||||
src: /img/customers-hero/tripadvisor.svg
|
||||
alt: Tripadvisor logo
|
||||
description: Searches 1B+ multimodal reviews for its AI Trip Planner, driving 2–3x more revenue from engaged users.
|
||||
- id: 3
|
||||
image:
|
||||
src: /img/customers-hero/opentable.svg
|
||||
alt: OpenTable logo
|
||||
description: Built its AI Concierge, using sparse embeddings to filter 60K+ restaurants with high-precision retrieval.
|
||||
title: Explore What Leading Teams Build with Qdrant
|
||||
sitemapExclude: true
|
||||
---
|
||||
|
||||
|
||||
Reference in New Issue
Block a user