Qucit makes life easier at Dublin Web Summit 2014
BUSINESS FRANCE UK
dublin, Web Summit, French Tech,
Qucit of France, a specialist in the field of predictive data analysis, will present its innovative shared-vehicle network solutions on the UBIFRANCE FrenchTech pavilion at this year’s Dublin Web Summit, which will take place at the Royal Dublin Society in Ireland from 4 to 6 November 2014. Qucit is keen to meet potential partners and investors as part of its strategy for international growth.
Qucit, a prize winner at the Worldwide Innovation Challenge in July 2014, offers predictive analysis tools to optimise urban mobility, diminish pollution and improve the well-being of citizens. The company will be presenting its solutions on the UBIFRANCE FrenchTech pavilion at the Dublin Web Summit, which will take place at the Royal Dublin Society from 4 to 6 November 2014.
Founder of Qucit Raphaël Cherrier explains: “Our aim is to use the strength of real-time data, predictive analysis and machine learning to help improve the development of attractive and more sustainable towns, in terms of consumption of raw materials (energy, time and water). The company’s flagship product – which is a world first – is a prediction motor integrated with the Bonne Station system from Keolis Bordeaux that analyses the use of self-service bicycles in urban areas.
Over recent years, a number of conurbations have developed systems of self-service vehicles, the majority of which are bicycles. This new transport option is growing rapidly, both in terms of the number of participating towns and cities as well as the number of users. An additional 200 towns worldwide are currently equipping themselves to enable their inhabitants to benefit from self-service vehicles.
One of the main problems encountered with self-service bicycles involves the restocking of docking stations. Restocking is essential to ensure a balance of available vehicles and empty docking points in any one station at any one time. Many stations are often badly balanced, with a lack of vehicles in some and a lack of parking places in others. At present, restocking is carried out by lorries that travel across town centres from station to station. This exercise creates pollution and congestion and has considerable room for improvement.
There are numerous benefits to Qucit’s application, including facilitated network growth, service reliability and improved equipment quality. Statistical analysis allows for better breakdown detection and Qucit’s predictive analysis makes it possible to modify the use and control of the network of shared vehicles for a fraction of the current cost and without CO2 emission.
Mr Cherrier adds: “We do not restrict ourselves to bicycles. Qucit’s next projects involve the extension of the self-service bicycle tool to other uses linked to the prediction of urban mobility (parking, public transport, etc.).”
Qucit was founded in May 2014 by Raphaël Cherrier, a former Lecturer at Arts et Métiers Paris Tech (ENSAM), a specialist engineering university in Paris. It currently has five employees but envisages rapid international growth.
Qucit specialises in the development of real-time big-data analysis and predictive analysis tools that can be used to optimise mobility, lower pollution and improve the well-being of citizens in towns and cities across the world. These award-winning analysis solutions have been developed over a three-year research period as part of is an ongoing project in partnership with the LaBRI (Bordeaux Laboratory of Computer Research) and the IMB (Bordeaux Mathematics Institute).
For further information about Qucit, please go to: http://www.qucit.com/
Qucit will be exhibiting on the UBIFRANCE FrenchTech pavilion at the Dublin Web Summit, which will take place at the Royal Dublin Society in Ireland from 4 to 6 November 2014.
For further information about the Dublin Web Summit, please go to: http://websummit.net/
Ms Kate RILEY- Press Officer
UBIFRANCE Press Office in London
SW1Y 4SP - UK
Tel: +44 (0) 207 024 3640
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