AI4Cities Buyers Group selects 20 suppliers for Phase two

27 September 2021

AI4Cities Buyers Group selects 20 suppliers for Phase two

10 suppliers in the Mobility Lot and 10 suppliers in the Energy Lot will continue to Phase 2 of the AI4Cities Pre-Commercial Procurement project. During this phase the selected suppliers will get the opportunity to create the first prototype of the solutions they proposed in Phase one of the project. Phase two started this month and will last until December 2021, after which the Buyers Group will make the final shift and choose the six suppliers (three in each lot) that will continue to the final phase of the project.

The 10 contractors selected for the Mobility Lot are: Atmosphere, Avenue/Nommon, Carto, FranchetAI, Fronyx, Insight Signals, Kentyou, Kradient, Urban Radar and Vianova. They represent a wide variety of solutions, recognising the potential of AI to make the mobility domain of cities more sustainable.

Atmosphere is focusing on route flow optimization in road and canals/ports traffic; Avenue/Nommon aims to predict the impact of shared mobility services on urban transport; Carto works on effectively planning of active and micro-mobility services; FranchetAI wants to provide cities with services forecasting reports, information about the distribution of GHG emissions and carbon digest reports; Fronyx’ Guaranteed Charging project aims to optimise the use of public charging stations; Insight Signals is working on a user-centered Mobility Digital Twin to continuously reproduce and simulate a city’s transportation system; Kentyou is proposing a holistic approach for reducing the CO2 emissions in cities, by providing a horizontal data and application platform which will embrace a variety of mobility related solutions; Kradient is developing an nnovative solution to reduce emissions from traffic by using a broad set of AI tools to optimise traffic flows; Urban Radar's solution CityForward consists of a technological platform for cities and logistics companies to achieve city-wide coordination; Finally, the proposed solution of Vianova is an effort to advance the management of shared mobility beyond punitive regulations and to better align the policy priorities of cities with the operations of mobility providers.

The 10 suppliers/consortia selected for the Energy Lot are BEE,, Enerbrain, Heroes, Holonj, IBM Danmark, Loopfront, Rebase, Symvio and the Predictive Comoany. While this lot also represents a wide variety of AI (artificial intelligence) -related energy solutions, it has a clear focus on making the building sector more energy-efficient and sustainable.

By easily integrating into a building and combining its data with external sources, BEE automatically derives an optimal control to minimise energy usage and shift consumption to renewables; provides cities with a near real-time live carbon emission monitoring solution, articulated around five services that empower all stakeholders with actionable insights regarding the emissions in all sectors; Enerbrain’s Plug & Play IoT solution smartly interconnects all energy stakeholders and controls any type of building in an automated and optimised manner; The solution that Heroes proposes aims at reducing energy consumption of public buildings by using AI, IoT & Cloud technologies; The vision of Holoni is to provide smart city ecosystems an intelligent and decentralised peer-to-peer energy marketplace platform; IBM Danmark's Flex Planner Tool dramatically reduces the time to assess, plan and promote investments for energy flexibility and efficiency in buildings; Loopfront is an AI collaboration platform made to empower building owners and the construction industry, removing barriers and creating a structure for circular activities; Rebase is working on an open source platform for setting up local energy markets and smart agents for energy management and trading; Symvio uses automated data analytics and machine learning methods to supervise building systems such as heating, ventilation and air conditioning systems; The solution of The Predictive Company is a predictive energy management system supported by AI, that learns the energy profile of a building infrastructure, to forecast its real energy demand.

Each of the selected suppliers will receive a maximum of 80,000 euro to work on a prototype of their project, based on lean principles and agile methods. They will be supported in this by the partner cities of the Ai4Cities project – each city has been paired to two solutions in each Lot. The suppliers have four months to do work on their prototype, following which the Buyers Group will decide which contractors go on to Phase 3 of the project. In that Phase the developed solutions will be tested in a minimum of two cities.

The AI4Cities Buyers Group consists of lead procurer Forum Virium, representing the City of Helsinki, Cap Digital, representing Paris Region, the City of Amsterdam, the City of Copenhagen, the City of Tallinn and the City of Stavanger. For more information about the selection process, please visit the AI4Cities Request for Tenders page.

In the next few months more in-depth information will be communicated about these solutions via the AI4Cities website and its social mediachannels. For now a more detailed overview of the solutions can be found here and here.


All news