FAIRTIQ is an innovative mobile ticketing system that makes travelling on public transport easier than ever before. The app allows users to easily check-in and check-out rather than buying a ticket from the driver, at a TVM or a booking office, with all the hassle that that involves.​

At the end of their journey, users are charged the lowest possible price for the actual journey undertaken - whether it is single or multi-leg, or involving more than one operator. Because of low upfront costs, and high customer satisfaction, FAIRTIQ's app offers the perfect solution for all transport companies regardless of size or type.​

The app uses artificial intelligence based bespoke algorithms drawing on many years of experience in public transport and ticketing to build a highly accurate picture of a user’s journey, making the app very accurate and reliable. Available on Apple iOS and all Android versions, FAIRTIQ’s app can be brought into operation quickly and with minimal disruption, as no on-vehicle or on-station equipment is required.

Ticketing

Mobile

Transportation

FAIRTIQ

Gian-Mattia Schucan

Jean-Eudes Ranvier

Reto Schmid

Julian Rossy

Silvia Lehmann

Adrien Nicolet

Jonas Lutz

Noémie Villard

Anne Mellano

The Data Science and Research team at FAIRTIQ is responsible for developing and refining the artificial intelligence algorithms that power the mobile ticketing system. This includes analyzing vast amounts of journey data to ensure accurate check-ins/outs and fare calculations, as well as conducting forward-thinking research to improve and innovate the app's capabilities. The team leverages their expertise in machine learning, data analysis, and public transport systems to build reliable and user-friendly solutions.

Data Science and Research

Software Development Team

Marketing

Product Management

Data Science and Research

About

Team members

Other teams at FAIRTIQ

Software Development Team

Marketing

Product Management