ZETIC.MLange API
On-device AI runtime library supporting heterogeneous Mobile NPUs' utilization
We provide real On-device AI immediately with these key features:
- End-to-end on-device AI
- One-stop deployment
- Heterogeneous OS and target Hardware support
This is the Beta version of ZETIC.MLange before the official release.
Quick Start
Generate Model Key and Personal Key
Go to mlange.zetic.ai to generate your keys.
Generate Model Key with SaaS:

Copy Personal Key:

For more details, refer to:
Use your model key in Mobile Applications
val model = ZeticMLangeModel(CONTEXT, "YOUR_PERSONAL_KEY", "YOUR_MODEL_NAME")
model.run(YOUR_INPUT_TENSORS) let model = try ZeticMLangeModel("YOUR_PERSONAL_KEY", "YOUR_MODEL_NAME")
model.run(YOUR_INPUT_TENSORS)Explore Documentation
What is ZETIC.MLange?
Learn about ZETIC.MLange and its key features
How it Works
Understand the workflow and architecture
Model Profiling
Global device benchmark and optimization
Examples
Explore real-world implementation examples
Need Help?
Since we are developing rapidly, please contact ZETIC.ai for any kind of issues or questions.