Promising initial research results

In July, we started an Innocheque project together with Francesca Faraci and her team at the Biomedical Signal Processing Lab of SUPSI-DTI. 

During the last year, we pivoted from secondary burnout prevention of clinical burnout patients into primary burnout prevention of employees. The Innocheque project with SUPSI is an essential step forward in strengthening our partnership with the first-class research institution to advance the science of burnout and expand our solution with state-of-art predictive capabilities; we had to answer two questions:

First, identify informative, discriminative, independent features (biometric, subjective, and contextual) useful in predicting burnout under current business constraints.

Second, identify and validate additional commercial devices that provide the required raw data and accuracy.

Initial results more than convinced us to continue to the next phase, a larger Innovation Project. We are currently in the process of recruiting companies interested in burnout prevention to participate in the project. If you are interested in joining, please get in touch with me directly at max@resilient.ai. Also, if you want to know more about the project and its scope, please visit https://www.resilient.ai/news/innovation-project-participation.

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