For years, AI services have been locked into expensive GPU cloud infrastructure, burdened by high costs, latency, and privacy risks. ZETIC.ai introduces a breakthrough: an end-to-end automated SDK that converts your existing AI models into fully optimized on-device apps within hours. By leveraging the NPUs already inside billions of smartphones, we enable companies to eliminate GPU servers entirely, cutting costs by up to 99% while delivering real-time, private, and scalable AI experiences. This session unveils how the future of AI is no longer in the cloud — it’s already in your pocket.
Yeonseok Kim
ZETIC.ai
Website: https://zetic.ai/
ZETIC.ai is building the on-device AI ecosystem—empowering AI companies to deploy, optimize, and run their models directly on mobile devices without relying on the cloud. Our core product, ZETIC.MLange, automates the entire on-device AI deployment process: converting, optimizing, global device benchmarking, and packaging models in just 6 hours.
The platform supports diverse mobile hardware environments including NPUs, GPUs, and CPUs, delivering peak runtime performance tailored to each device. Unlike conventional solutions that require months of device-specific engineering or compromise model accuracy, ZETIC.MLange ensures full model fidelity, ultra-low latency, and efficient power usage—ideal for real-time, privacy-sensitive applications.
ZETIC.ai enables AI companies to scale globally without the cost, complexity, or regulatory limitations of cloud infrastructure. By running AI directly on end-user devices, companies can bypass cross-border data concerns and accelerate secure global deployment—making AI truly accessible anytime, anywhere.
