How Whering architects cost efficient multimodal AI apps

10
Опубликовано 27 мая 2026, 17:26
In this interview from Google I/O, Arthur Soroken interviews Bianca Rangecroft, CEO and founder of the AI driven fashion application Whering, to discuss how the startup leverages Google’s foundational multimedia models to democratize personalized mobile experiences.

Discover how Whering integrates computer vision frameworks and image generation models—including specialized low latency edge features like Nano and photo processing models—to seamlessly scale automated inventory tagging, color analysis, and background clipping layers while optimizing high-computation COGs via intelligent walling.

For cloud engineers, systems architects, and startup developers, this session provides critical insights into balancing cost heavy multimodal execution with behind the scenes engineering to build high performance, real time client applications.

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Speakers: Arthur Soroken, Bianca Rangecroft
Products Mentioned: Gemini, Nano Banana
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