ZETIC Melange

ZETIC Melange is an AI on-device deployment platform that automates model conversion, optimization, and mobile integration for mobile app developers. Built by ex-Qualcomm AI engineers, it targets teams that want to run AI models locally on mobile devices — eliminating cloud dependencies, reducing latency, and preserving user privacy. Rather than spending months on manual NPU tuning, developers upload a model in TorchScript, TensorFlow, or ONNX format (or paste a Hugging Face link), and Melange handles conversion, quantization, and hardware-aware optimization automatically.

The platform's benchmark engine tests each model across 200+ real-world physical devices, generating granular latency and accuracy reports before a single line of production code is written. Once a configuration is selected, deployment is reduced to three lines of code — with the full cycle from raw model file to a working mobile SDK taking under six hours. Melange also supports CPU, GPU, and NPU hybrid acceleration, achieving up to 60x faster inference than CPU-only execution while cutting model size by 50%.

ZETIC Melange suits mobile developers and engineering teams building privacy-first or offline-capable AI applications who need a complete on-device AI deployment tool without manual NPU engineering expertise.

ZETIC Melange is used to deploy custom AI models on mobile devices and embedded systems without cloud dependency, covering automated model optimization, NPU acceleration, and multi-device benchmarking for mobile app developers.