ZETIC.MLange
The End-to-End Infrastructure
for On-Device AI
Automated target deployment software enables easy integration of existing AI models to On-device AI.
Don't have a model? Start immediately with our pre-optimized library. From computer vision to SLMs, see what real-time on-device AI can do.
Stop guessing. Evaluate your model’s latency and SNR across 200+ real mobile devices. Compare performance on CPU, GPU, and NPU to find the optimal target for every user, before deployment.
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.
From raw model to optimized SDK in under 6 hours
ZETIC.MLange turns a traditionally complex manual deployment process into a simple 2-step workflow, reducing implementation time from over 12 months to less than 6 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
Works with NPU
Now We Support
…with more to come
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.
