On-Device AI at Enterprise Scale

On-Device AI at Enterprise Scale

Enables shipping product-level On-device AI in 1 hour without building the whole on-device AI team

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Features

What Melange Enterprise Does

What Melange Enterprise Does

Melange Enterprise help teams customize on-device AI deployment to their own hardware, runtime, & product requirements

Upload

Upload

Upload from Python

Compile your PyTorch model directly with the Melange Python API

Zetic
user_model = nn.Module(...) 
zetic_model = melange.compile(user_model)

Python-based model upload

Custom model support

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Advanced Optimization

Advanced Optimization

Optimize for Your Requirements

Tune models for your hardware, workload, and performance targets

Advanced Quantizations like INT4, INT2

Context-length configuration for LM

Full optimization report

Custom Benchmark

Benchmark on Your Hardware

Test models on mobile devices, wearables, robotics systems, and custom chips

Custom device benchmarking

Additional data type support

Battery, thermal, and energy metrics

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Deploy

Deploy into Your Product

Integrate optimized models into your application and production workflow

Custom model server

Deploy within App SDK

Python API support

Legacy version support

Comparison

Why switch to Melange Enterprise

Pipeline tuned for just your hardware & designed for products where maintenance matter

Melange

Melange Enterprise

Best for

Mobile app developers

Businesses with custom production requirements

Workflow

Self-serve

Supported from upload to deploy

Environment

Supported mobile devices

Mobile & custom hardware

Upload

Standard

Python API

Optimize

Standard

Custom quantizations

Benchmark

Mobile Device Metrics

Custom hardware + advanced metrics

Deploy

Melange App SDK

SDK + custom server + legacy support

Support

Email Support

Direct technical support within 5 days

Melange

Melange Enterprise

Best for

Mobile app developers

Businesses with custom production requirements

Workflow

Self-serve

Supported from upload to deploy

Environment

Supported mobile devices

Mobile & custom hardware

Upload

Standard

Python API

Optimize

Standard

Custom quantizations

Benchmark

Mobile Device Metrics

Custom hardware + advanced metrics

Deploy

Melange App SDK

SDK + custom server + legacy support

Support

Email Support

Direct technical support within 5 days

Industries

Industries We Support

Healthcare

Process patient data on the device itself. No cloud, no compliance risk, full privacy.

Physical AI

Real-time perception and control on the robot itself, with no network round trip.

E- Commerce

Visual search and product recognition on the shopper's own device.

Semiconductor

AI inference on chip testing equipment without sending sensitive data to the cloud.

Wearable and IoT

Always-on inference on low-power devices. No cloud calls draining the battery.

Industrial

Predictive maintenance and quality control, straight on the machines.

Govt. and Defense

On-device AI for mission-critical systems that cannot rely on cloud connectivity.

Automotive

Run driver monitoring and navigation AI in-vehicle compute with zero latency.

Why Enterprises Choose Us

Your Data Stays Under Your Control

Instead of handing confidential datasets to an outside engineering team, your developers test and validate performance with data kept in your own environment.

Keep Data Private

You can use Melange Enterprise without sharing proprietary test or production data with ZETIC.

Test In Your Environment

Validate target performance with your own data through the Python Simulator API.

Update Continuously

Deploy new model versions through the same integration without rebuilding your workflow.

Customer Reviews

"We shipped in Four Days"

"We shipped in Four Days"

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer
Continuous carousel with 3 testimonials. Playing

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer

We had a prototype running on day one with a public model from the hub, and when we needed a custom model, we just uploaded the ONNX — per-device NPU conversion and benchmarks were already done by the time we checked. Deployment, the hardest part of on-device AI, was literally an upload button on Melange. We shipped a voice AI app to real devices on both iOS and Android in four days.

Client testimonial photo
Jintae Jung -
CEO of WeFrontier

We were impressed by the rapid compatibility validation across our target devices. The quality and reliability of the provided results were excellent, and the materials were presented clearly, making the outcomes easy to review and verify. As a healthcare company, it was especially important for us that the project could be carried out with only a minimal dataset. Overall, the technical quality and consistency of the results were outstanding.

Client testimonial photo
KOSDAQ-Listed Healthcare Company
AI R&D Team

Setup was quick and very easy to understand. The controls provide flexibility without making the experience feel complex.

Client testimonial photo
SK Hynix
Frontend Developer
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Case Studies

On-Device AI, Working in the Real World

See how teams use Melange to bring AI into production across manufacturing, healthcare, and more

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AI on the factory floor, with no network to build

One of the world's leading memory semiconductor manufacturers runs vision inspection for quality control entirely on-device. No cloud, and no extra network infrastructure on the line.

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AI that travelled to new markets

A KOSDAQ-listed healthcare company was expanding globally. On-device 3D injury modelling removed the data-residency barrier standing in the way.

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

On-Device AI

On-Device AI

Start benchmarking and deploying in minutes.
No credit card required for the free tier.

Book a Demo

Book a Demo