Machine Learning (ML) can only be powerful if the training data is of good quality. With HITMiner, we leverage our impeccably diverse library decks and robust informatics pipeline to transform experimental measurements from billions of compounds into rich datasets. Using these expert-curated datasets as
the training data for our multi-representation hub—ArtemisAI, our partners can attain series of chemically diverse series from virtual catalogs of their choice to jumpstart their campaigns.