DataCity is a global innovation program that brings together cities, companies, and startups to address city challenges and develop solutions to build sustainable and efficient cities, using data and technologies.
Selected among 225 applications, the 12 startups selected for DataCity Paris have now 2 months to work on the challenge with the partners, and offer concrete solutions to DataCity issues. To develop their solution, they will benefit from the expertise and database of several partners, advice from NUMA experts, and a 10k€ grant.
They will test a first version of their solution in parisians infrastructures as soon as April. Startups and partners will present the result of their experiments on June 6.
Discover the selected startups
LINC is going to test an electricity-exchange system between resource producers and consumers. The objective is to allow green energy producers to exchange the energy produced among a local community, reducing production and transportation costs.
Saagie is working on building a maintenance predictive platform allowing to visualize and predict the malfunctions of Paris street lights.
AiD offers a solution to track and analyze tourist flows agregating data provided by various partners (Mastercard, SFR, RATP Dev, Cisco). By processing and combinating data, AiD will provide a dynamic tool to visualize and monitor tourist flows at a neighborhood level.
BeeBryte is provinding a solution to building managers to fight against energy waste. The startup will test in several Paris City buildings tools of visualization of their energy consumption in real-time thanks to sensors and meters directly connected to the building managers’ interface.
ColisWeb will figure out the impact of installations in a neighborhood in terms of costs and delivery time. This experimentation will be done with the support of INRIA,French National Institute for computer science and applied mathematics.
For DataCity, Intersec will collect and analyze Parisian tourist buses data to get a better understanding of the tourists travel patterns in the city, and adapt city services to their needs.
Quantmetry will build a map of several neighborhoods of Paris allowing to visualize urban flows. They will agregate data from a phone operator and other open source data (weather, events) to predict the lighting needs and ultimately decrease street lights consumption.
Dataiku will support the development and experimentation of the solution.
With 500 waste trucks going daily around the city to pick up parisians trash, garbage collection is a real challenge for Paris. Craft AI will experiment a predictive solution allowing all stakeholders (citizens, companies and janitors) to be informed about the truck arrival time.
In Paris, workspaces are often under-utilized while they could be mutualized. SharingCloud will build a solution optimizing office spaces sharing.
The sensors of the startup Irlynx will enrich SharingCloud analysis.
ZenCity‘s goal will be to create a tool helping urban planning strategy, thanks to precise analysis of an area’s data. This analysis will be produced thanks to data from social media, enriched by various sources (commercial spaces etc.) The objective is to generate trends coming directly from citizens.
Learn more about the DataCity program on datacity.numa.co