Edge AI
Our team develops and deploys AI solutions specifically optimized for compute-limited environments such as edge hardware, IoT systems, and embedded processors. Models are carefully designed to operate efficiently under resource constraints while maintaining high levels of accuracy and performance. Using advanced techniques—including model compression, quantization, pruning, and efficient neural architectures—we enable real-time inference directly on low-power devices. This makes it possible to run AI in applications like smart cameras, autonomous drones, wearable health monitors, industrial sensors, and robotics. Processing data locally reduces latency, enhances responsiveness, and improves data privacy. To deliver seamless integration and optimal performance, we collaborate closely with hardware partners such as MediaTek and others, aligning our models with the capabilities of the latest edge platforms.