We use our own machine learning techniques to design and implement classifiers and prediction systems that work on textual and structural information. Our approach is based on the design of formal language models. We focus especially on genomic information, which allows us to address the design of gene locators, functional and/or structural motifs in proteins, and any other pattern of interest in the domain of omics information. This service is aimed at companies in the bio sector: pharmaceuticals, healthcare, plant health, and bioinformatics.