DeepChem
This entry runs no foundation model. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
Deep learning framework purpose-built for drug discovery, materials science, and chemistry — GNN architectures optimised for molecular and quantum chemical datasets
No foundation model. DeepChem does not run one, so there is no model provenance to record. An open-source deep-learning toolchain for the sciences supplying model architectures, featurizers, loaders and the MoleculeNet benchmark datasets, which users train themselves on their own data. Established from the product’s own public documentation and what it does. If that is out of date, tell us at right of reply.
Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.
Vannus records, from the vendor's own published documents, the legal entity a customer contracts with, the country that entity sits in, and the governing law of its terms — and whether the vendor runs its own model or resells someone else's. Each finding is quoted to its source and dated, or marked not disclosed where the vendor publishes nothing. No paid placement on a record, in the catalog or in search — affiliate status is walled off from the record, enforced by a test in the build. See the methodology →
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