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Use Cases

AI-based adaptive image quality enhancement

Businesses are unable to deploy graphically-intensive applications like CAD, medical imaging, or video editing via DaaS to remote workers on consumer-grade internet. Traditionally, supporting these premium use cases requires high-cost infrastructure: dedicated high-bandwidth network connections for each user and powerful, expensive server-side GPUs for real-time video encoding. This complexity makes scaling high-performance remote work financially unviable.

Conceptual Design

DaaS & VDI GPU offloading via endpoint AI Superresolution optimized for thin clients

Fluendo’s AI-powered superresolution plugin would operate entirely on the client side to dynamically enhance video feeds, upscaling desktop content up to 4K resolution. The system would intelligently adapt to input video quality and integrate seamlessly with the DaaS protocol, native OS, browsers, and applications.

This approach would fundamentally decouple the end-user’s visual quality from network or server performance. It would remove the dependency on high-bandwidth connections and dramatically reduce the reliance on costly server-side GPU encoding, allowing businesses to deliver a premium experience over a standard internet connection.

OUR VALUE PROPOSITION

How we boost your business

cost-reduction

Cost Reduction

Offload image enhancement to the client endpoint, increasing user density and avoiding expensive server-side GPU and network infrastructure upgrades

product-quality

Product Quality

Artifact-free visual experience with sharp text and fine graphical detail that rivals local desktop performance

reduced-effort

Reduced Effort

Improve remote workers’ efficiency and reduce visual fatigue

reach

Reach

Optimized for low-end thin clients, enabling new, highly graphical, demanding remote user cases