ZETIC.MLange

The Fastest
On-device AI Solution

Automated target deployment software enables easy integration of existing AI models to On-device AI.

for General AI
for General AI
for General AI

Deploy General AI with
a Single Model Upload

Deploy General AI with
a Single Model Upload

01. Upload Model & Sample input

Bring your own model and a representative prompt or input to get started. We guarantee your AI model and data remain confidential and are not used elsewhere.

02. Run Device Benchmarks

Test on 200+ edge devices using CPU, GPU, and NPU.

03. Review Benchmark Report

Check latency and accuracy for each hardware type.

04. Copy 3-Line Code

Deploy instantly with just three lines of integration code.

for LLM
for LLM
for LLM

Start an LLM with
a Hugging Face Model Link

Start an LLM with
a Hugging Face Model Link

01. Paste Model Link or ID

Enter Hugging Face model URL or key. No upload needed.

02. Run Optimization & Comparison

Compare the base model with 7 optimized versions on benchmark tasks.

03. Review Performance Metrics

See scores by task and latency per variant.

04. Copy Code Block

Use a ready-to-integrate code snippet with loop-based logic.

Demo Library
Demo Library
Demo Library

Explore prebuilt on-device AI demos

Explore prebuilt on-device AI demos

No model to upload? Try our ready-to-use demos.

From computer vision to LLMs, explore real-time on-device AI apps — and see what’s possible with ZETIC.MLange.

Download app and try demo now

Download app and try demo now

Download app and try demo now

Benchmark
Benchmark
Benchmark

Benchmark your AI model across 200+ devices

Benchmark your AI model across 200+ devices

Evaluate your model’s latency and SNR across 100+ real mobile devices. Compare performance on CPU, NPU, and hybrid systems to find the optimal target — before deployment.

The Fastest Runtime Performance

Any OS, Any processor & Any target device

ZETIC.ai delivers maximum on-device performance with full NPU acceleration, achieving speeds up to 60x faster and 50% smaller model sizes compared to CPU execution.


Tested across 200+ real-world edge devices, our benchmark-driven approach ensures the fastest runtime performance without accuracy loss.

The Fastest AI Deployment Pipeline

Any OS, Any processor & Any target device

Transformation completed in as little as 6 hours

ZETIC.MLange turns a traditionally complex deployment process into a simple 2-step workflow, reducing implementation time from over 12 months to less than 6 hours.

Any OS, Any processor & Any target device

Any OS, Any processor & Any target device

ZETIC.MLange’s automated pipeline creates libraries for multiple OS and NPUs in one step. We also provides FP16 optimizations to ensure your AI models stay optimized with no loss, delivering superior performance.

Supports All OS

Supports All OS

Now We Support

Works with Any NPU

Now We Support

…with more to come

More than Speed:
What Really Sets MLange Apart

More than Speed:What Really Sets MLange Apart

More than Speed:What Really Sets MLange Apart

Preserving Core Technology

Port AI models to on-device applications without loss, maintaining your technology's integrity.

Enhancing Data Security

Keep data secure on the device, eliminating external breach risks.

Optimized AI Models

Our optimization approach utilizes the FP16 method, allowing us to achieve maximum performance with minimal loss.

FAQ

FAQ

Which companies can use the ZETIC.MLange service? Can any company providing AI services use it?

Why is ZETIC.MLange unique in the industry?

How much cost savings can be achieved by using ZETIC.MLange?

Is on-device AI faster than AI running on GPU cloud servers?

Which companies can use the ZETIC.MLange service? Can any company providing AI services use it?

Why is ZETIC.MLange unique in the industry?

How much cost savings can be achieved by using ZETIC.MLange?

Is on-device AI faster than AI running on GPU cloud servers?

Which companies can use the ZETIC.MLange service? Can any company providing AI services use it?

Why is ZETIC.MLange unique in the industry?

How much cost savings can be achieved by using ZETIC.MLange?

Is on-device AI faster than AI running on GPU cloud servers?

Ready to get started?

Simply prepare your AI model, run ZETIC.MLange, and you’re good to go — no payment info required.

Let’s keep in touch

Interested in us? Receive our latest news and updates.

Let’s keep in touch

Interested in us? Receive our latest news and updates.

Let’s keep in touch

Interested in us? Receive our latest news and updates.