There’s no better place to build On-device AI
We automate:
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
Why On-Device AI
On-Device AI isn't just fast.
It's Profitable
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
Every device Is different
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
ZETIC automates every steps to ship On-device AI
Cutting 6+ months of engineering into 1 hour
Hardware-Aware Optimization
Auto Benchmark
Quick Deployment
Core Capabilities
What’s inside ZETIC?
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
3 Simple Steps to Deploy
Go from a raw AI Model to Shippable Mobile App Integration in 1 hour
Select or Upload
your own model
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.
Benchmark
across 200+ mobile devices
Compare model performance metrics including Latency, SNR, Memory and TPS across 100+ real mobile devices to find the best deployment setting for each device.
Deploy
by copying our SDK code block
Copy & Paste our Melange SDK code block into your IDE environment to deploy the AI model in your project.
Customer Reviews
Fastest Deployment, Fastest Runtime
x
Faster than CPU
“Using ZETIC Melange, I built SumiSense, an on-device behavioral health assistant focused on privacy-preserving self-reflection and relapse-risk awareness. It let me spend more time thinking about the actual clinical and privacy problem, and less time fighting deployment issues.”
Abhishek Dhadwal
ASU Grad Student, Melange Hackathon Participant
<
hr
Implementation
%
Retraining required
+
Devices to benchmark upon
“Without Melange, we wouldn't have been able to demonstrate our model's feasibility in real-world situations running on local hardware. Melange did an excellent job at optimizing our model, and it achieved comparable performance even to our full model hosted on an external server, something we genuinely didn't expect.”
William Wang
Stanford Student, LA Hacks Participant
Products
Two ways to get started
Start free on mobile. Scale to enterprise when you need more.
Melange
Ship your On-device AI in 1 hour
Melange enables building on-deivce AI solution with the fastest runtime in the world & deploy in 1 hour across 200+ mobile devices.
Melange Enterprise
Customize your On-device AI Solution
Custom Devtools help enterprise teams adapt on-device AI deployment to their own hardware, runtime, and product requirements.
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?
What happens if a user’s phone is old and doesn't have an NPU?
Begin today
On-Device AI
Start benchmarking and deploying in minutes.
No credit card required for the free tier.
There’s no better place to build On-device AI
We automate:
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
Why On-Device AI
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
Every device Is different
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
ZETIC automates every steps to ship On-device AI
Cutting 6+ months of engineering into 1 hour
Hardware Optimization
Auto Benchmark
Quick Deployment
Core Capabilities
What’s inside ZETIC?
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
3 Simple Steps to Deploy
Go from a raw AI Model to Shippable Mobile App Integration in 1 hour
Select or Upload
your own model
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.
Benchmark
across 200+ mobile devices
Compare model performance metrics including Latency, SNR, Memory and TPS across 100+ real mobile devices to find the best deployment setting for each device.
Deploy
by copying our SDK code block
Copy & Paste our Melange SDK code block into your IDE environment to deploy the AI model in your project.
Customer Reviews
Fastest Deployment, Fastest Runtime
x
Faster than CPU
“Using ZETIC Melange, I built SumiSense, an on-device behavioral health assistant focused on privacy-preserving self-reflection and relapse-risk awareness. It let me spend more time thinking about the actual clinical and privacy problem, and less time fighting deployment issues.”
Abhishek Dhadwal
ASU Grad Student, Melange Hackathon Participant
<
hr
Implementation
%
Retraining required
+
Devices to benchmark upon
“Without Melange, we wouldn't have been able to demonstrate our model's feasibility in real-world situations running on local hardware. Melange did an excellent job at optimizing our model, and it achieved comparable performance even to our full model hosted on an external server, something we genuinely didn't expect.”
William Wang
Stanford Student, LA Hacks Participant
Products
Two ways to get started
Start free on mobile. Scale to enterprise when you need more.
Melange
Ship your On-device AI in 1 hour
Melange enables building on-deivce AI solution with the fastest runtime in the world & deploy in 1 hour across 200+ mobile devices.
Melange Enterprise
Customize your On-device AI Solution
Custom Devtools help enterprise teams adapt on-device AI deployment to their own hardware, runtime, and product requirements.
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?
What happens if a user’s phone is old and doesn't have an NPU?
Begin today
On-Device AI
Start benchmarking and deploying in minutes.
No credit card required for the free tier.
There’s no better place to build On-device AI
We automate all you need to ship On-device AI :
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.
70K
60K
50K
40K
100K
30K
20K
0
Trusted by Engineers at
Why On-Device AI
On-Device AI isn't just fast.
It's Profitable
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
Every device Is different
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
ZETIC automates every steps to ship On-device AI
Cutting 6+ months of engineering into 1 hour
Hardware-Aware Optimization
Auto Benchmark
Quick Deployment
Core Capabilities
What’s inside ZETIC?
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
3 Simple Steps to Deploy
Go from a raw AI Model to Shippable Mobile App Integration in 1 hour
Select or Upload
your own model
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.
Benchmark
across 200+ mobile devices
Compare model performance metrics including Latency, SNR, Memory and TPS across 100+ real mobile devices to find the best deployment setting for each device.
Deploy
by copying our SDK code block
Copy & Paste our Melange SDK code block into your IDE environment to deploy the AI model in your project.
Customer Reviews
Fastest Deployment, Fastest Runtime
x
Faster than CPU
“Using ZETIC Melange, I built SumiSense, an on-device behavioral health assistant focused on privacy-preserving self-reflection and relapse-risk awareness. It let me spend more time thinking about the actual clinical and privacy problem, and less time fighting deployment issues.”
Abhishek Dhadwal
ASU Grad Student, Melange Hackathon Participant
<
hr
Implementation
%
Retraining required
+
Devices to benchmark upon
“Without Melange, we wouldn't have been able to demonstrate our model's feasibility in real-world situations running on local hardware. Melange did an excellent job at optimizing our model, and it achieved comparable performance even to our full model hosted on an external server, something we genuinely didn't expect.”
William Wang
Stanford Student, LA Hacks Participant
Products
Two ways to get started
Start free on mobile. Scale to enterprise when you need more.
Melange
Ship your On-device AI in 1 hour
Melange enables building on-deivce AI solution with the fastest runtime in the world & deploy in 1 hour across 200+ mobile devices.
Melange Enterprise
Customize your On-device AI Solution
Custom Devtools help enterprise teams adapt on-device AI deployment to their own hardware, runtime, and product requirements.
FAQ
Can't find an answer to your question here? Contact us using the link below.
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?
Begin today
On-Device AI
Start benchmarking and deploying in minutes.
No credit card required for the free tier.