The start-up Morphosense announced it has raised €2 million from Sofimac Innovation, Bouygues Construction and Crédit Agricole Alpes Développement

Contacts presse

Hubert Engelmann
06 99 05 46 66
h.engelmann@bouygues-construction.com

Marie Pinot
07 61 64 22 81
m.pinot@bouygues-construction.com

25 February 2019
The Grenoble-based start-up Morphosense has raised €2 million of funds in an operation involving Sofimac Innovation, Bouygues Construction and Crédit Agricole Alpes Développement. Created in 2016 on the basis of a technology resulting from ten years of R&D within the Leti, CEA’s technology research institute, Morphosense has developed a solution that is unique in the world for the real-time surveillance of the structural integrity of civil engineering structures (bridges, dams, skyscrapers) and energy structures (including offshore oil and gas platforms and floating wind farms).

A strategic partnership for collecting data and optimising maintenance
The product of the start-up, called Neuron, is based on a system of high-precision sensors associated with patented algorithms which makes it possible to measure the static and dynamic behaviour of structures and to carry out predictive maintenance. The collaboration with Sofimac Innovation, Bouygues Construction and Crédit Agricole Alpes Développement will make it possible to operate this breakthrough technology on projects in the sectors of civil engineering, offshore and building, offering improved quality, safety and services.

Fundraising to speed development
With this partnership, Morphosense hopes to accelerate commercial development on its two priority markets, civil engineering and offshore, strengthen its commercial and technical teams, and finalise its technological developments with the market launch of the V2 of its product, allowing an improvement in performance by a factor of three. It will also seek to have Neuron awarded ISO 9001 and ATEX certification, as well as continue with the development of predictive maintenance software bricks using artificial intelligence and machine learning, employing indicators collected by the Neuron system.


Figure 1. Schematic diagram general functioning of the Neuron solution