Context

In a context of a race for productivity, workplace accidents weaken businesses by disrupting services and impacting the workforce. Accidents at work are suffered and not sufficiently anticipated. In addition, standard methodologies to prevent these accidents are reaching their limits and businesses are facing a real glass ceiling.

Solution

Our use of AI in this area, in particular Machine Learning and NLP, makes it possible to deduce the most important trends and risk factors in workplace accidents from your data. More than a hundred criteria are analyzed: night work, type of workstation, experience... Companies can thus act accordingly, anticipate problems, and launch more effective action plans to target these at-risk populations.

Benefits

Reduction in costs related to accidents at work
Improving your productivity: fewer accidents = less downtime
Improving your employer brand
Improving the well-being of your employees

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Résultats

-20%

reduction in the number of accidents at work on average

30

characteristics to describe each work accident

8

weeks of development

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