Yemoka provides AI-powered tools that translate sign language into spoken words in real-time. Their technology uses computer vision to interpret signing gestures captured by a camera, enabling fluid, two-way communication for deaf and hard of hearing individuals.
Funding
Funding not disclosed
Founders
Product
Problem
Individuals who are deaf or hard of hearing face communication barriers in everyday interactions, limiting their ability to engage seamlessly with hearing individuals. Existing solutions often lack real-time responsiveness or require specialized equipment, hindering natural conversation flow.
Solution
Yemoka develops AI-powered tools designed to bridge communication gaps, with a primary focus on accessibility. Their flagship product, Wave, utilizes advanced computer vision and natural language processing to translate sign language into spoken words in real-time. This enables fluid, two-way communication between deaf and hearing individuals by processing natural signing gestures captured by a camera and converting them into audible speech. Yemoka's approach prioritizes practical application and user-centric design to foster greater inclusion and connection.
Target Audience
The primary users are deaf and hard of hearing individuals seeking to improve communication with hearing individuals, as well as organizations and communities aiming to enhance accessibility and inclusivity.
Features
- Real-time sign language to speech translation powered by AI and computer vision.
- Utilizes camera input to interpret natural signing gestures.
- Generates instant verbal output for seamless communication.
- Designed for direct application in everyday interactions.
- Focuses on breaking down communication barriers for deaf and hard of hearing individuals.