Aluna

Aluna offers a data foundry for life science AI, providing curated datasets and benchmarking suites for biomedical AI. The platform emphasizes standardized evaluation, multi-modal data, and clinically annotated imagery to support oncology and genomic research.

Aluna provides curated datasets and benchmarking tools for life science AI, including: OncoBench, a comprehensive oncology AI benchmarking suite with standardized datasets, evaluation metrics, and cross-cancer performance comparisons; PathFoundry, a dataset of 2M+ whole slide images across 25+ tumor types with H&E, IHC, and IF stains and pathologist annotations; and Duplex, a multi-modal dataset combining whole genome sequencing with clinical information and digitized pathology slides for integrated analysis. The platform also positions itself as a data foundry, enabling researchers to access, evaluate, and work with core life science AI datasets and infrastructure.

Who it’s for: Researchers and engineers in biotech, biomedical AI startups, and life science companies needing standardized datasets and benchmarking tools for oncology and multi-modal imaging/genomics.

Backed by GitHub/Datasets, partnership with fetchflow inc., active dataset releases and coming soon items (OncoBench, PathFoundry) implying ongoing product development and traction.