Fairy Devices

Fairy Devices Inc. is a Japanese technology company that develops end-to-end solutions for industrial digital transformation. The company was founded by Masato Fujino, who also serves as CEO.

The firm's core offering is the "Connected Worker Solution," which integrates hardware, software, and AI to support deskless workers in industrial environments. This platform centers around its proprietary neck-worn wearable devices, LINKLET™ and THINKLET. These hands-free devices feature a wide-angle 4K camera, a five-microphone array for clear audio capture in noisy environments, and both Wi-Fi and 4G LTE connectivity. This allows field workers to livestream their first-person view, enabling remote assistance and collaboration with experts via platforms like Zoom and Microsoft Teams.

The THINKLET device is specifically designed for industrial use and developers, featuring a programmable, AOSP-based operating system ("Fairy OS"). It is equipped with a 9-axis motion sensor and GPS for activity and location tracking. The hardware is designed to capture high-quality video, audio, and sensor data, which is then processed by the company's cloud platform. This data can be utilized for business intelligence and the development of specialized AI models to preserve and transfer the knowledge of skilled experts. Fairy Devices' technology stack includes multi-language speech recognition, noise cancellation, machine translation, and text-to-speech capabilities.

The company's products have received multiple CES Innovation Awards. Fairy Devices serves clients in sectors such as infrastructure, utilities operation and maintenance, and manufacturing, helping them address challenges like workforce shortages and the retirement of skilled labor.

Keywords: wearable AI, industrial digitalization, connected worker solutions, remote assistance, field service technology, hands-free wearable camera, industrial IoT, voice user interface, operational technology, knowledge transfer, AI data capture, THINKLET, LINKLET, speech recognition, digital transformation, manufacturing technology, infrastructure maintenance, field data collection, enterprise wearables, machine learning solutions