ZETIC.MLange

Overview

ZETIC deploys TorchScript, TensorFlow, and ONNX models to mobile and embedded devices, quantizing for CPU, GPU, or NPU to reach up to 60× speed and 50% size reduction. It supplies benchmarks and a 3‑line offline code snippet for privacy‑preserving AI.

From the official site

Ship On-device AI in 1 hour. Fastest Runtime, Fastest Deployment in the World. Any model, any device, running on-device with zero cloud.

The text above is quoted from this tool’s official website — the vendor’s own words.

Official FAQ

What is Melange?

Melange is an on-device AI platform by ZETIC.ai that helps teams select, benchmark, optimize, and deploy AI models across real mobile and edge devices.

What is on-device AI?

On-device AI means running AI models locally on a device such as a phone, tablet, embedded system, or edge device instead of relying only on cloud servers.

How does Melange help deploy AI models?

Melange helps teams select models, benchmark performance on real devices, optimize for hardware runtimes, and deploy models using generated SDK code.

Which hardware targets does Melange support?

Melange helps teams benchmark and optimize AI models across NPU, GPU, and CPU runtime options for mobile and edge devices.

How is Melange different from manual on-device AI deployment?

Manual on-device AI deployment often requires model conversion, quantization, benchmarking, runtime tuning, and device testing. Melange combines these steps into a unified workflow for selecting, benchmarking, and deploying optimized models.

These questions and answers come from the tool’s own structured data, not written by us.

How to use it

1. Open zetic.ai, register and review the available capabilities and quotas
2. Create a project or obtain access credentials from the documentation
3. Complete a minimal call in your local or test environment using the examples
4. Once validated, integrate into the real project and expand usage gradually