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.
Datalchemy was called in to help CPAM identify relevant data, establish a working methodology guaranteeing the confidentiality of customer data, and develop a machine learning algorithm to target beneficiaries.