CentraleSupélec is a public scientific, cultural and professional (EPSCP) establishment constituted in the form of a Grand Institution. Data science and AI are at the core of the development of the scientific teaching and research activities at CentraleSupélec. The institute focues on four research themes, namely:

- Explainable AI : Computer vision, Natural language processing, Data & signal understanding

- Neuroscience and cognition with the Facial Analysis Synthesis and Tracking Team (FAST)

- From 'Photonics to AI' with the LMOPS laboratory

- Decision making and support with the Industrial Engineering Laboratory

Listed below are the remarkable projects in the field of AI by students and graduates of the school:

Daco - Co-founded by graduate Paul Mouginot with his partners Claire Bretton and Anis Gandoura, it offers an AI solution for fashion players that allows them to collect and analyze data in real time on their markets. A powerful tool tested in full-scale by private sale that hosts the startup within its Impulse accelerator installed at Station F in Paris.

Datakalab was created by two brothers: Xavier and Lucas Fischer, who graduated from this school. This startup offers a solution for analyzing the emotions of human beings in the context of public events - meetings, speeches, shows and their feelings in public places: hotels, train stations, airports. Datakalab is also used to analyze perceptions the public when launching advertising campaigns.