
Folks'Talks provides an API that lets robots understand spoken language and their surroundings in natural, spoken form. The technology combines computer vision and sound processing to map audio to visual context without text, enabling real-time understanding. It avoids traditional text-based NLP and instead uses voice-to-voice communication to interpret intent and context across accents and environments. The system targets assistant robot providers and institutions like hospitals and nursing homes, with an API-centric, B2B model. The approach aims to scale robots across sectors such as construction and healthcare by making them quicker, safer, and more context-aware.

Folks'Talks provides an API that lets robots understand spoken language and their surroundings in natural, spoken form. The technology combines computer vision and sound processing to map audio to visual context without text, enabling real-time understanding. It avoids traditional text-based NLP and instead uses voice-to-voice communication to interpret intent and context across accents and environments. The system targets assistant robot providers and institutions like hospitals and nursing homes, with an API-centric, B2B model. The approach aims to scale robots across sectors such as construction and healthcare by making them quicker, safer, and more context-aware.