Its first investment: a participation in HAL24K, a start-up specialised in the processing of data for smart cities.
VINCI Energies introduces Inerbiz, an administrative and financial investment fund to support innovative start-ups in various markets.
Via Inerbiz, VINCI Energies wishes to accelerate the expansion of knowledge of new technologies in order to support clients in two important market trends: the digital transformation and the energy transformation. It will support projects aimed at the future of cities, buildings, industries and energy supplier, as well as those aimed at smart grids.
In doing so, VINCI Energies wishes to stimulate positive industrial and commercial collaborations by offering administrative support and financial resources for the further development of innovative ideas into prototypes, and the necessary experimentation.
The investments are made during the initial development phase, and specific agreements can be reached for the future, depending on the situation. All partnerships are based on clearly identified business prospects, and supervised by a VINCI Energies employee in the role of mentor.
The first partnership: HAL24K, a start-up specialised in big data processing for smart cities.
Via this first participation in the Dutch HAL24K start-up, VINCI Energies will reinforce its expertise in big data, while HAL24K receives access to larger markets in return.
Hal24K has branches in San Francisco, Amsterdam and London. It combines processes and analyses of large volumes of data, gained from a wide range of public and private sources, in real time. The solution uses algorithms and artificial intelligence to provide policy-makers in cities, the public sector and the business community with tools to support decisions. HAL24K combines the latest developments in predictive analysis and algorithms from Silicon Valley with the knowledge and expertise of leading universities and research centres in Europe.
The main projects currently underway are: predictive maintenance of large infrastructures in smart cities, solving parking problems; the optimisation of public healthcare, the prediction of traffic in and around cities, and opportunities for cities and public sector institutions to generate income.