If I understand correctly, the product is the database and its Tensorflow API?
I am wondering how this compares to the TALOS-N [1] server from Ad Bax (NIH) with 9000+ proteins in its DB? This, too, uses machine learning to 'fit' a predictor for secondary structure (dihedral angles) for backbone and side chain torsions based on chemical shifts.