




On-Device AI
What we do?
Any Model. Any Device. Any Runtime.
Powered by Melange.
Upload once, Deploy Everywhere
Turn raw model files into deployed, hardware-optimized mobile SDKs in under 6 hours, replacing months of manual NPU tuning and fragmented management.
Our Product

Streamlined Workflow
Core Capabilities
The ZETIC Advantage
Feature
Others
Optimization Workflow
Manual
Processor Chip Compatibility
Limited (CPU focus)
Deployment Complexity
Complex Manual Coding
Deployment Duration
12+ months
Device Testing
Unavailable to verify on global devices
Import Model from
Model Library only
Melange
Fully automated pipeline
CPU + GPU + NPU hybrid acceleration
Simple 3-line code deployment
Ready under 6 hours
Tested on 200+ devices
Model Library + Own Model + HuggingFace Models
Do I need to retrain my model to use Melange?
No. We support TorchScript, TensorFlow and ONNX models directly. Our platform automatically handles conversion and quantization for on-device execution without needing your training data or altering weights
Why use Melange instead of free open-source tools like TFLite or CoreML?
How much cost savings can be achieved by using Melange?
Is on-device AI actually faster than a powerful cloud GPU server?
What happens if a user’s phone is old and doesn't have an NPU?
How difficult is the integration into my existing mobile app?















































