Using Artificial Intelligence to improve people’s well being in Cities

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Our DNA

Cities are lagging behind in terms of efficiency, sustainability and livability. We believe in a global approach based on data and artificial intelligence to understand the complexity of cities and provide useful informations to city service providers.

Our goal

Improve the user experience of Cities to make sure people enjoy the real world more by understanding the impact of their environment on their behaviour and feelings.

Our approach

Quantify the real world and use Artificial Intelligence to understand the link between urban design and people’s behaviors and feelings

Our solution

A software platform that enables local governments and private companies to operate their services more efficiently and city planners to design more livable Cities.

A technology to serve every City

We believe in technological products to improve the organization of cities and the life of everyone.

BikePredict

Improve the user experience of bike-shared users by anticipating demand and adjusting system rebalancing.

ComfortPredict

Improve public and private places by objectively anticipating sources of comfort and discomfort (cleanliness, security, beauty…).

ParkPredict

Introduce smart parking by anticipating illegal parking areas and providing a parking assistance tool for motorists.

RoadPredict

Improve road safety by anticipating incidents and optimizing the patrols of road & motorway operators.

Who benefits from our products?

Cities and Metropolises

Real estate developers & managers

Cleaning & Street Sweeping Operators

Parking Operators

Motorway and road operators

Bike share operators

Public transport operators

Train stations and airports

They trust us

Our latest articles

Ensure intermodality with Qucit predictive APIs

Intermodality is the combination of several modes of transport in one trip. From an individual mode to a collective or public mode (public transport, bicycle, etc.). It should be distinguished from multimodality, which describes the existence of several modes to connect two places. Faced with congestion...

Our latest articles

Going to India for the 18th World Road Meeting

Two weeks ago, I had the amazing opportunity to travel all the way to India to attend the 18th World Road Meeting and to give a talk about something we have been working on since march 2017 at Qucit: Road Safety, Data Science & Artificial Intelligence! The 18th IRF World Road Meeting The 18th IRF World...

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Is Machine Learning Magic?

Machine learning is not the panacea. When facing a problem with a huge amount of data, the first thing is to take some time to deeply understand the extent of the problem and what really is in the data. A model of Machine learning is a powerful tool to help you solve a problem but is rarely the answer. In many cases,...

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Qucit to conquer the West!

Let's go for Urban-X, an acceleration program that brings together 10 startups expert in Smart Cities. The goal: discover the American market, its subtleties and propose our products to improve the quality of life of the American megalopolis. For the next 5 months (mid-September 2017 to late February 2018), Qucit's...

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How to use Artificial Intelligence & Data Science to improve safety on motorways?

This paper is submitted in part of the IRF World Road Meeting Authors: Yassine Alouini, Data Scientist Qucit, M.A.S.T in Applied Mathematics, Cambridge, yassine.alouini@qucit.com Rémi Delassus, PhD Student Deep Learning for Semantic Segmentation of Aerial Imagery, remi.delassus@qucit.com Marie Quinquis, Sales &...