ZETIC.ai provides Melange, a platform for deploying AI models on-device. It optimizes models for mobile and embedded devices, supporting any model, on any device, in any framework. The platform enables real-time AI with low latency, cost savings, full privacy, and offline access. Melange offers a streamlined workflow: upload a model (from files, Hugging Face, or a library), review a benchmark report for latency and accuracy across 200+ devices, and deploy with a simple 3-line code snippet. It accelerates models up to 60x faster than CPU using NPU acceleration, reduces model size by 50%, and cuts deployment time from months to under 6 hours. Melange supports TorchScript, TensorFlow, and ONNX models without retraining. It is built by AI engineers and researchers from leading institutions.
Key Features
- Automated NPU-accelerated optimization pipeline
- Benchmarking on 200+ real-world mobile devices
- 3-line code deployment
- Support for own models, Hugging Face models, and model library
- CPU + GPU + NPU hybrid acceleration
Use Cases
- Deploying AI models on mobile apps
- Running AI on embedded systems from MCUs to industrial computers
Who It's For
- AI engineers and mobile developers
- Companies seeking on-device AI for faster, cheaper, and private inference