Syntelly modules use different types of machine learning methods. These include classical approaches like gradient boosting, as well as different types of neural networks — fully connected, graph-based, transformers, and specialized computer vision and NLP models.
Our technologies have been reviewed by scientists and described in articles published in ACS Publications, ChemRxiv, Chemistry–Methods, Royal Society of Chemistry, and other journals.