ZETIC.MLange
The Smartest On-device AI Solution
Automated target deployment software enables easy integration of existing AI models to On-device AI.
ZETIC.MLange revolutionizes the traditional complex process into simple 2 steps, reducing implementation time that takes over a year down to within 24 hours.
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.
Now We Support
With more to come
02.
Works with Any NPU
Now We Support
With more to come
03.
Optimized AI Models
Our optimization approach utilizes the FP16 method, allowing us to achieve maximum performance with minimal loss.
Demo
Discover just how easy and fast ZETIC.MLange's new on-device AI solution can be, compatible across global mobile devices.
YOLOv8
Track and label various objects within an image or video in real-time.
EMO-AffectNet
Analyzes facial expressions to determine emotional states, such as happiness of sadness, in real-time.
From MediaPipe
Detects and identifies human faces in an image or video in real-time.
From MediaPipe
Pinpoints key facial features, such as eyes, nose, and mouth within a face in real-time.
Performance
ZETIC.ai’s NPU-powered technology lets you unlock the full potential of powerful on-device AI.
Generate libraries that can be applied to all target devices with a single execution, enabling on-device AI to run simultaneously across various devices.
ZETIC.ai leverages NPU-based AI to maximize performance, delivering speeds up to 60x faster and a 50% reduction in model size compared to CPU. See the real-time execution speed comparison between NPU and CPU on the right.
Port AI models to on-device applications without loss, maintaining your technology's integrity.
Keep data secure on the device, eliminating external breach risks.
How it works
ZETIC.MLange benchmarks AI model performance and calculates Target Library Priority for each SoC manufacturer. The system then automatically installs the optimized target library on the end-user device based on profiling results, removing the need for users to manage the Target Library manually.
Pricing
Ready to get started?
Simply prepare your AI model, run ZETIC.MLange, and you’re good to go — no payment info required.
