AI prototype development

Implementation of a POC that automatically proposes, via an AI solution, the case number and appropriate SharePoint location of each document to speed up filing.

Datalchemy, as part of a consortium led by the UP group and Institut Mines-Télécom, has centralized, cleaned, anonymized and enriched heterogeneous data from multiple aid organizations to train and validate neural network models capable of automatically detecting the increased risk of loss of autonomy among beneficiaries.

Datalchemy has designed a proof of concept for DILA to automate the daily consolidation of French legislative texts, combining flow automation and parsing models, data structuring and synthetic dataset generation.

As part of a competition to challenge the capabilities of AI to improve its processes and products, a Valeo team was accompanied by Datalchemy from conception to completion.

Datalchemy and Micropole have combined their AI and mobile expertise to create a mobile application capable of assisting with initial and periodic inspections of electrical switchboards, essential for guaranteeing the compliance and safety of installations.