Hi @matiyanez
Yes, Modulus does allow for physic-driven, hybrid, and data-driven training. An example of a pure data-driven problem is the Darcy problem which has image like data.
For point wise data you can use the PointwiseConstraint.from_numpy() where you can feed in a set of numpy dictionaries to train from. This is used in a couple spots of our examples such as the three fin heat sink which can combined with other physics-based training constraints.