Edge AI & Model Optimization

We optimize AI models for deployment on mobile, embedded, and wearable hardware.

We compress and optimize machine learning models for deployment on resource-constrained devices. Our pipeline covers pruning, quantization, knowledge distillation, and format conversion to ONNX and TensorFlow Lite, enabling real-time inference on mobile platforms, wearables, and embedded systems. The goal is to retain model accuracy while meeting strict constraints on memory, latency, and power consumption.