2024-04-24 12:04:31
According to a study published by Santé Publique France in 2022, musculoskeletal disorders (MSD) are at the top of compensated occupational diseases, representing 88% of cases recognized by the general system. Among the affected sectors, human health and social action (SHAS) appears to be particularly affected. And if the consequences are terrible for the employee, they are also very serious for the companies.
Each year in France, 30% of work stoppages are caused by MSDs. In the event of an occupational accident with back pain, they would on average give two months’ sick leave. The total cost to companies will be around two billion euros, including the cost of 22 million lost working days. Several types of factors are believed to be the origin of these disorders: psychosocial, organizational and physical factors.
It is to the latter that deeptech Founded at the end of 2018 by Pierre Plantard, CTO, and François Morin, CEO, Moovency decided to tackle this by developing for KIMEA companies. An alternative digital solution to sensors, where the installation is as restrictive as it is time-consuming, to better support companies in evaluating and optimizing the ergonomics of their workstations.
A refined solution to help businesses
“Pierre Plantard, specialist in the biomechanics of the human body, was keen to work with digital decision support solutions to prevent musculoskeletal risks in business”, explains François Morin, CEO of Moovency. He then collaborated with a car manufacturer, developing and launching KIMEA classic in 2019 – a depth camera system connected to a computer to film an employee at a workstation for 5 to 10 minutes and determine musculoskeletal risk. He is then working on a second version of his product that will allow finer motion detection, the Kimea 360, thanks to a collaborative project, the I-Lab competition of which they will be winners in 2020.
“Although effective and scientifically reliable, classic Kimea had technological problems: a reduced video recording angle, a limitation of employee movements, a limitation of capture during movement”testifies the CEO.
In addition to Kimea 360, Moovency has recently developed a new solution, Kimea Cloud, an application that allows you to capture the movements of an employee using a simple smartphone and generate a 3D skeletal model from the 2D video. “Exit, the heavy interconnected computer and camera system. The application is enough to automatically and immediately measure risk indicators. For our customers with multiple sites, Kimea Cloud allows us to group information and compare the results obtained in the different factories but also in different workstations, thus monitoring, thanks to a personal dashboard, the development or reduction of these TMSs by reconsidering job rotations, when certain sections are overworked, for example”explains François Morin.
The startup is now focusing on integrating a dose of artificial intelligence, powered by the data recovered so far, to further improve decision support and prevent MSDs through predictive models.
A crowdfunding campaign is underway
Deployed to around a hundred customers, including Enedis, Safran and Airbus, Moovency’s solutions are accompanied by a team of ergonomists available to intervene in small structures that do not have specialized resources to interpret the results obtained. Having completed an initial equity fundraising in 2020, complemented by support from BPI and the i-Lab and I-Nov grants, for a total of 2 million euros, Moovency recently joined the “Prevention accelerator digital” supported by Bpifrance and Paris Santé Campus .
This deeptech is currently initiating a crowdfunding campaign for a bridge of 600,000 euros, aiming to develop its licensing model, accelerate its international expansion, optimize the success of its R&D projects and become a major player in occupational health.
The TMS market is estimated at $14 billion, driven by a growth of 13%, driven by the increase in the number of accidents and occupational diseases.
To participate in the crowdfunding campaign, it is this way.
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