Doen AI

Doen AI is a real-time multimodal artificial intelligence system designed to guide workers through complex physical tasks by seeing what they see and providing step-by-step instructions. It is specifically built for field services, manufacturing, healthcare, and other hands-on industries where skilled labor shortages create urgent needs. The primary purpose is to augment human workers, enabling them to perform at expert levels immediately, regardless of their prior experience, by offering live visual and audio guidance during intricate procedures like HVAC repair or equipment maintenance.

In many industries, there is a significant gap between the demand for skilled physical work and the available workforce, leading to delays, errors, and increased costs. Traditional training methods are time-consuming and cannot scale quickly enough to address these shortages. Workers often face complex, unfamiliar tasks without expert support, resulting in inefficiencies and potential safety risks. This problem is especially acute in high-stakes environments where precision is critical, and mistakes can be costly or dangerous.

The first major feature group is real-time multimodal intelligence, where the AI processes live video feeds and audio reasoning simultaneously with low latency. Using a connected smartphone, webcam, or smart glasses, the system captures a continuous video stream of the worker's environment. The AI analyzes each frame in real time, understanding the context and objects present, such as tools, valves, or components. This allows the system to reason about the situation and generate appropriate guidance without noticeable delay, ensuring the worker receives instructions precisely when needed.

The second major feature group involves delivering real-time guidance through audio instructions and heads-up display (HUD) visual overlays. As the AI analyzes the scene, it provides spoken directions, like telling the worker to turn off a specific valve or use a particular wrench size. Simultaneously, visual cues are overlaid on the live feed, highlighting relevant parts or indicating actions. This multimodal output ensures workers can keep their hands free and focus on the task while receiving clear, contextual support that adapts to their progress.

Additional capabilities include support for various hardware, making the system accessible without requiring specialized equipment. Workers can use their existing smartphones, standard webcams, or emerging smart glasses, leveraging ubiquitous devices to capture video. The AI's analysis is designed to be reliable in real-world conditions, recognizing worn parts, tool sizes, and procedural steps. This flexibility allows for rapid deployment across different industries and settings, from factory floors to remote field sites.