Sign AI provides a cloud‑based platform that delivers real‑time, bi‑directional translation between American Sign Language and spoken language using advanced computer vision and NLP models. Enterprises, public institutions, and developers can integrate its API and SDKs to embed accurate, culturally fluent sign language communication into web, mobile, and physical applications, ensuring scalable accessibility and equity.
Funding
Funding not disclosed
Founders
Product
Problem
Deaf and hearing individuals often cannot engage in seamless, real-time conversations because existing communication tools lack accurate, instantaneous sign language interpretation, limiting accessibility and equity in everyday and business interactions.
Solution
Sign AI offers an AI-powered platform that provides real-time, bi-directional sign language interpretation, enabling Deaf users to be both understood and to understand spoken language instantly. The system leverages advanced computer vision and natural language processing models trained on extensive sign language data, ensuring high accuracy and cultural fluency. By delivering the service through cloud APIs and SDKs, businesses and developers can embed sign language communication directly into their applications, websites, or physical spaces. The platform is built and guided by a Deaf‑led team, guaranteeing that the technology reflects lived experience and community standards. This approach transforms accessibility from a static accommodation into a dynamic, scalable communication channel for enterprises and institutions.
Target Audience
Primary customers are enterprises, public institutions, and software developers seeking to embed real-time sign language communication into their products or services.
Features
- Real-time AI translation of American Sign Language to spoken language and vice versa
- Bi-directional communication flow, allowing Deaf users to both receive and send information seamlessly
- Cloud‑based API and SDKs for easy integration into web, mobile, and enterprise systems
- Continuous model improvement driven by community feedback and Deaf‑led quality control
- Support for enterprise‑grade security, scalability, and compliance requirements
- Customizable language models to align with specific industry terminology or regional sign variations