Introducing ZETIC
Today’s AI runs on servers. Every prompt you write goes to the server. Every model call means another cost. And they stop every time on a weak internet connection. Lacking privacy, cost, & wide usability.
ZETIC helps AI models run directly on the device, not the server. Works on any AI model, any device, in any frameworks. We automate deployment with full NPU optimization and benchmark across 200+ devices.
Trusted by Engineers at
No Latency
AI responds the instant the user acts, with no server round-trip. Real-time camera, voice, and live features feel snappy, and snappy keeps people coming back.
Full Privacy
Every inference runs on the user's device, so their data never leaves it. Privacy becomes a feature you can market and a box you can check for HIPAA and GDPR.
No server cost
No GPU servers to rent and no per-token cloud bills. Your cost stays flat as you scale, so margins hold instead of eroding with every new user.
Offline Access
The model keeps running with no signal, on a plane or in the field. You reach users bad connectivity would cut off, and nothing breaks when the network does.
Problem
Fragmented hardware, inconsistent performance, months of manual NPU tuning per chip. That's what building on-device AI looks like today. This is what Zetic solves.
Solution
Cutting 6+ months of engineering into 1 hour
Core Capabilities
3 Ways to Upload
Your own model, a Hugging Face link, or our pre-optimized model library.
Automated Benchmarking
Real accuracy and latency reports across 200+ physical devices.
Multi-Runtime Acceleration
CPU, GPU, and NPU hybrid support, handled automatically.
Automated Optimization
Quantization tailored to any NPU architecture, no manual tuning.
3-Line SDK Deployment
Ship with a ready-to-integrate code snippet.
Pipeline of Unbeatable Speed
From raw model to optimized and deployable SDK in 1 hour.
How it works
Go from a raw AI Model to Shippable Mobile App Integration in 1 hour
Bring your own model by uploading the raw model files or sharing the Hugging Face link. Or you may select a model from our own model library.
Compare model performance metrics including Latency, SNR, Memory and TPS across 200+ real mobile devices to find the best deployment setting for each device.
Copy & Paste our Melange SDK code block into your IDE environment to deploy the AI model in your project.
Customer Reviews
Products
Start free on mobile. Scale to enterprise when you need more.
FAQ
Frequently Asked Questions
Get answers to common questions here
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 is Melange different from Google AI Edge?
Begin today
Start benchmarking and deploying in minutes.
No credit card required for the free tier.