Personal Information
Entreprise/Lieu de travail
Paris, New York, Tokyo, connected devices
Secteur d’activité
Technology / Software / Internet
Site Web
snips.ai/
À propos
Snips is an artificial intelligence voice platform that runs on the edge, without sending any voice data to the cloud. Our embedded voice AI technology offers enterprises and developers offline and private-by-design conversational interfaces to animate interactions with products.
With enterprise-grade performance and cloud-level accuracy across a wide range of hardware integrations on a low-power footprint, the Snips voice assistant simplifies human interactions with connected devices. Founded in 2013 by 3 PhDs, Snips operates in Paris, New York, and Tokyo, leveraging the ability to create custom voice commands and natural language interfaces to lead the embedded voice revolution.
Mots-clés
artificial intelligence
voice technology
voice assistant
b2b technology
enterprise technology
natural language understanding
speech recognition
edge computing
voice-enabled shopping
voice shopping
smart shopping
smart retail
future of retail
machine learning
ecommerce
enterprise
embedded technology
Tout plus
Présentations
(1)J’aime
(2)State of AI Report 2019
State of AI Report
•
il y a 4 ans
State of Voice Technology for Brands
Adobe
•
il y a 4 ans
Personal Information
Entreprise/Lieu de travail
Paris, New York, Tokyo, connected devices
Secteur d’activité
Technology / Software / Internet
Site Web
snips.ai/
À propos
Snips is an artificial intelligence voice platform that runs on the edge, without sending any voice data to the cloud. Our embedded voice AI technology offers enterprises and developers offline and private-by-design conversational interfaces to animate interactions with products.
With enterprise-grade performance and cloud-level accuracy across a wide range of hardware integrations on a low-power footprint, the Snips voice assistant simplifies human interactions with connected devices. Founded in 2013 by 3 PhDs, Snips operates in Paris, New York, and Tokyo, leveraging the ability to create custom voice commands and natural language interfaces to lead the embedded voice revolution.
Mots-clés
artificial intelligence
voice technology
voice assistant
b2b technology
enterprise technology
natural language understanding
speech recognition
edge computing
voice-enabled shopping
voice shopping
smart shopping
smart retail
future of retail
machine learning
ecommerce
enterprise
embedded technology
Tout plus