Our customers

They trust us : the companies that call on us.

SNCF

SNCF

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.

General Electric Healthcare

General Electric Healthcare

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.

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Conseil de l'Europe

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

Institut Louis Bachelier

Louis Bachelier Institute

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

DILA

DILA

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

Airbus

Airbus

We provide tailor-made training for Airbus.

Medicall

Medicall

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.

Groupe Up

Groupe Up

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.

Direction Générale de l'Aviation Civile

French Civil Aviation Authority

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.

Editions Lefebvre Sarrut

Éditions Lefebvre Sarrut

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

IMT

IMT

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

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Ecole 42

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

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Aplim, Charlemagne and Ecole Directe

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

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CPAM

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

Kickmaker

Kickmaker

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.

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VINCI Energies

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

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Bureau Veritas

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

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Valeo

Nous accompagnons Valeo dans la mise en place de projets IA, notamment en optimisation de la production.