Our customers

Development of a complete railway simulation environment, to launch Machine Learning / Deep Reinforcement Learning approaches to find new ways of managing and regulating train traffic and crisis situations.

We provide tailor-made training courses for GE Healthcare on the state of the art and the issues involved in deep learning for medical imaging. We also work on R&D projects.

Datalchemy vient de remporter un accord-cadre avec le Conseil de l’Europe pour accompagner leurs équipes sur des sujets IA.

We are working with the LBI on Deep Learning consultancy projects.

For the Légifrance website, we carried out a deep learning project for the automated consolidation of legal texts (laws, decrees and ordinances).

We provide tailor-made training for Airbus.

As part of an R&D project for Medicall, we developed a machine learning algorithm to detect the criticality of emergency situations by analysing the caller's voice signal.

We are working for the Up group on a deep learning project in the field of personal assistance services, as well as the anonymisation of associated data.

We have carried out deep learning training for the Civil Aviation Authority and are providing expertise on a project aimed at automatic dialogue recognition in control towers.

For ELS, we have developed an automated contract generation tool for lawyers.

We implement deep learning and data visualisation research projects for the ITM.

For Ecole 42, we designed a data architecture to enable high-performance and innovative data processing.

We are contributing to the deployment of new data tools in the software suite developed by Aplim for schools.

We are working with the CPAM on a project to improve the effectiveness of screening campaigns.

Datalchemy works in partnership with Kickmaker to develop the deep and machine learning offering for their customers. In this context, we also work on embedded data science, deep and machine learning projects in collaboration with their teams.

Nous travaillons pour VINCI Energies sur des problématiques de RAG et de classification documentaire.

Nous travaillons avec BV à des sujets de reconnaissance d’éléments sur des photographies.