Custom & Open-Source Models
Custom & Open-Source Models
CPU, GPU & NPU Optimized
CPU, GPU & NPU Optimized
The Fastest Way
to Ship On-Device AI
Eliminate cloud dependencies.
Deploy private, real-time AI directly on your users' devices.
Eliminate cloud dependencies. Deploy private,
real-time AI directly on your users' devices.



We support the following frameworks and OSes
We support
the following frameworks and OSes

















Choose your starting point.
Choose your starting point.
Start running on-device AI today, whether you have a custom model or need one.
Bring Your Own
Upload and run it on-device in one step
Learn more
Learn more
Learn more



Choose from Hugging Face
Paste a Hugging Face link to run instantly
(Coming soon)
Paste a Hugging Face link to run instantly
(Coming soon)
Learn more
Learn more
Learn more



Choose from Library
Explore our optimized library and deploy immediately
Learn more



No model yet?
Pick one from our model library and get started right away
Learn more
No model yet?
Pick one from our model library and get started right away
Learn more
Learn more
Try our Demo App to test AI on your device
Try our Demo App to test AI on your device
Try our Demo App to test AI on your device






ZETIC.MLange
The End-to-End Infrastructure
for On-Device AI
The End-to-End Infrastructure
for On-Device AI
Automate your entire pipeline, from benchmarking to deployment. Eliminate manual engineering. Cut GPU costs. Guarantee user privacy.



Up to
Up to
Up to
60x
60x
60x
faster than CPU
faster than CPU
faster than CPU
Maximize NPU power. Get ultra-low latency on your target hardware.
Up to
Up to
Up to
6 hrs
6 hrs
6 hrs
transformation complete
transformation complete
transformation complete
Go from raw model to optimized,
deployable SDK in under 6 hours.
Benchmark on
Benchmark on
Benchmark on
200+
200+
200+
smartphone models
smartphone models
smartphone models
Get real-world performance data. Know exactly how it runs before you ship.
Built by Engineers and Researchers from
Built by Engineers
and Researchers from


















FAQ
FAQ
Do I need to retrain my model to use ZETIC.MLange?
Why use ZETIC.MLange instead of free open-source tools like TFLite or CoreML?
How much cost savings can be achieved by using ZETIC.MLange?
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?
Do I need to retrain my model to use ZETIC.MLange?
Why use ZETIC.MLange instead of free open-source tools like TFLite or CoreML?
How much cost savings can be achieved by using ZETIC.MLange?
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?
Do I need to retrain my model to use ZETIC.MLange?
Why use ZETIC.MLange instead of free open-source tools like TFLite or CoreML?
How much cost savings can be achieved by using ZETIC.MLange?
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?
Ship your first
on-device AI model today.
Start benchmarking and deploying in minutes.
No credit card required for the free tier.
Start benchmarking and deploying in minutes. No credit card required for the free tier.
Get the latest NPU benchmarks
Receive technical updates, new model support announcements, and on-device AI news.
Get the latest NPU benchmarks
Receive technical updates, new model support announcements, and on-device AI news.
Get the latest NPU benchmarks
Receive technical updates, new model support announcements, and on-device AI news.

