
About Mica the Hipster Cat
Mica the Hipster Cat is a Technology company based in Vienna (Austria) founded in 2016. Chatbot providing recommendations for restaurants and coffee shops in cities. It operates on a D2C and B2C model. Mica the Hipster Cat offers products and services including Mica Chatbot and Venue Recommendation Feature. Its focus areas include Consumer, AI and Chatbots, Recommendation Services and Venue Recommendations.
Company details
Mica is an AI-powered chatbot that helps users discover top restaurants and coffee shops by processing city names via messaging apps like Facebook Messenger and Skype. It offers venue suggestions based on user input, entertains with cat pictures if no results are found, and engages in polite basic conversations. No app installation is needed, making it accessible worldwide through integrated platforms. The bot aims to enhance user experiences with personalized recommendations.
- Headquarters Vienna, Austria
- SectorsTechnology
- Website hipstercatbot.com
- Social X Facebook Instagram
Products & Services of Mica the Hipster Cat
Mica the Hipster Cat offers a comprehensive portfolio of products and services, including Mica Chatbot and Venue Recommendation Feature.
Platform for recommending venues like restaurants and coffee shops.
Function for suggesting locations based on user-provided cities.
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Frequently Asked Questions about Mica the Hipster Cat
Mica the Hipster Cat was founded in 2016.
Mica the Hipster Cat is headquartered in Vienna, Austria.
Mica is an AI-powered chatbot that helps users discover top restaurants and coffee shops by processing city names via messaging apps like Facebook Messenger and Skype. It offers venue suggestions based on user input, entertains with cat pictures if no results are found, and engages in polite basic conversations. No app installation is needed, making it accessible worldwide through integrated platforms. The bot aims to enhance user experiences with personalized recommendations.
Mica the Hipster Cat offers Mica Chatbot and Venue Recommendation Feature.