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chore: adopters sorted alphabetically
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@cheina97
cheina97 committed Mar 5, 2025
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Expand Up @@ -8,10 +8,10 @@ If your organization is using Liqo and would like to be featured here, feel free

| Company/Organization Name | Industry Vertical | Country | Year | Use Case Type |
| ------------------------------------------------------------------- | ---------------------------------- | ------------- | ---- | ------------------------------------------------------------------------------------------------------------------- |
| [**CERN**](https://home.cern/) | Research & Scientific Institution | Switzerland | 2025 | multicluster solutions experimentation |
| [**TIM S.p.A.**](https://www.tim.it/) | Telco | Italy | 2024 | solution to support PostgreSQL “Multi-cluster” deployment to ensure High-Availability across two different regions |
| [**Bot Auto**](https://bot.auto) | Transportation | USA | 2023 | run workflows via argo workflows in multiple clusters with single workflow control plane |
| [**CERN**](https://home.cern/) | Research & Scientific Institution | Switzerland | 2025 | multicluster solutions experimentation |
| [**Fluidos**](https://fluidos.eu/) | Cross | EU | 2023 | dynamic multi-cluster resource sharing, workload offloading, cross-cluster networking |
| [**Myrtus**](https://myrtus-project.eu/) | Cross | EU | 2025 | seamless computing continuum across cloud, fog, and edge environments |
| [**Telefonica Research**](https://telefonicainnovaciondigital.com/) | Telco | Spain | 2025 | Research of workload offloading and multicluster solutions |
| [**Outerbounds**](https://outerbounds.com/) | ML/AI Platform | USA | 2023 | Multi-Cluster Batch Workload Support |
| [**Outerbounds**](https://outerbounds.com/) | ML/AI Platform | USA | 2023 | multi-Cluster Batch Workload Support |
| [**Telefonica Research**](https://telefonicainnovaciondigital.com/) | Telco | Spain | 2025 | research of workload offloading and multicluster solutions |
| [**TIM S.p.A.**](https://www.tim.it/) | Telco | Italy | 2024 | solution to support PostgreSQL “Multi-cluster” deployment to ensure High-Availability across two different regions |

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