Eyful is an innovative startup operating at the intersection of technology and medicine, specifically targeting the low vision market. The company is dedicated to enhancing the quality of life for individuals suffering from low vision, particularly those affected by Age-Related Macular Degeneration (AMD). Eyful's primary mission is to restore autonomy and independence to its users through advanced technological solutions.

The company serves a niche market of individuals with low vision, which includes elderly patients and those diagnosed with AMD. Eyful leverages cutting-edge technologies such as Extended Reality (XR) and Artificial Intelligence (AI) to provide personalized visual enhancements. Their proprietary AI algorithm analyzes ophthalmologic and optometric data to understand how users perceive the world. This data is then used to tailor visual enhancements that are delivered through XR-powered glasses.

Eyful's business model revolves around the sale of these high-tech glasses, which become smarter and more accurate over time through automated, user-guided learning. The AI and XR platforms work together to analyze user behavior continuously, fine-tuning the visual enhancements to meet individual needs better. This iterative process ensures that the product adapts to the user's changing vision, providing a customized experience.

Revenue is generated primarily through the sale of these specialized glasses. Additionally, Eyful may explore subscription models for ongoing software updates and enhancements, ensuring that users always have access to the latest advancements in visual aid technology.

The company is led by a team of experts, including CEO Michael Perreault, Operations Manager Camille Labat, and Lead AI Developer Alex Benjamin. They are supported by a group of advisors and researchers who bring extensive experience in low vision and optometry.

Keywords: Low Vision, Age-Related Macular Degeneration, XR Technology, AI Algorithms, Personalized Visual Enhancements, Ophthalmologic Data, Optometric Data, User-Guided Learning, High-Tech Glasses, Visual Aid Technology.