diff --git a/src/pages/adopters.md b/src/pages/adopters.md
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+++ b/src/pages/adopters.md
@@ -17,6 +17,7 @@ All organisations are sorted alphabetically by the first letter of their English
| Organization/Company Name | Website | Usage Scenario | CaseStudy |
|---------------------------|-------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
+| Adyen | https://www.adyen.com/ | Use Karmada to implement a High Available Container Orchestration in K8s. | |
| Alibaba Cloud | https://www.alibabacloud.com/ | Use Karmada to deploy K8s resources across multiple clusters. | [Distributed Cloud Container Platform for Kubernetes (ACK One)](https://www.alibabacloud.com/product/ack-one) |
| Bilibili | https://www.bilibili.com/ | Use Karmada to build multi-cluster platform. | |
| Bloomberg | https://www.techatbloomberg.com/opensource/ | Bloomberg uses Karmada to manage on-prem training clusters and to schedule GPU/CPU workloads. | [KubeCon NA 2024: Bloomberg’s Journey to Improve Resource Utilization in a Multi-Cluster Platform](https://www.youtube.com/watch?v=lMtCSaHI9Uk)
[KubeCon NA 2024: Bloomberg's Journey to Manage a Multi-Cluster Training Application with Karmada](https://www.youtube.com/watch?v=PmaiEKpM1-Q)
[KubeCon EU 2025: Flink on Karmada: Building Resilient Data Pipelines on Multi-Cluster K8s](https://www.youtube.com/watch?v=mqXZ2T-jWuU)
[KubeCon EU 2025: AI Workload Preemption in a Multi-Cluster Scheduling System at Bloomberg](https://www.youtube.com/watch?v=LrL5AcS2d5g)
[KubeCon EU 2025: Multi-cluster Orchestration System: Karmada Updates and Use Cases](https://www.youtube.com/watch?v=rbVV8WIJYww) |
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