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ZETIC.MLange

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An on-device AI deployment platform for mobile engineers optimizing and shipping models to run locally without cloud GPU cost or latency.

What it does

ZETIC (product name Melange) is a platform for deploying AI models directly onto mobile devices instead of the cloud. Users upload a model file or a Hugging Face link, benchmark it for latency and accuracy across real hardware, and receive an optimized, hardware-aware deployment with a ready-to-integrate code snippet.

How to use: Prepare your AI model, run ZETIC.MLange, and you’re good to go. The platform offers an automated pipeline for easy implementation of on-target on-device AI model libraries.

Core features

Model upload via file, Hugging Face link, or a pre-optimized model library
Automated benchmark reporting across 200+ real mobile devices
Hardware-aware quantization tuned to specific NPU architectures
Deployment via a short code snippet, claimed in a few lines of code
Claims up to 60x faster inference than CPU and roughly 50% smaller model size

Best for

Cutting cloud inference costs by running models on end-user devices
Reducing latency for real-time mobile AI features
Keeping user data on-device for privacy-sensitive applications
Benchmarking a model's performance across many device types before shipping
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