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

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.