Artificial intelligence (AI) has been applied from cloud servers to edge devices because of its rapid response, privacy, robustness, and the efficient use of network bandwidth. However, it is challengeable to deploy the computation and memory-bandwidth intensive AI to edge devices for the power and hardware resource are limited. The various needs of applications, diverse devices and the fragmented supporting tools make the integration a tough work. In this paper, the NeuroPilot, a cross-platform framework for edge AI, is introduced. Technologies on software, hardware and integration levels are proposed to achieve the high performance and preserve the flexibility meanwhile. The NeuroPilot solution provides the superior edge AI ability for a wide range of applications.