AI applied to workplace safety in the railway sector

At Telice, we are developing SALUS, a self-hosted Retrieval-Augmented Generation (RAG) system designed to provide fast and precise access to essential safety documentation. This R&D project, funded by ICECYL, Instituto para la Competitividad Empresarial de Castilla y León, aims to make the work of railway teams safer and more efficient.

What started as a proof of concept by a team member has now evolved into a solid development that we are refining through continuous testing and iteration.

Our goal: reduce cognitive overload for on-site workers, optimize regulatory compliance, and enhance workplace safety.

Discover more in this interview: