# Aluna: curated oncology data for biomedical AI

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Author: Ali Abouelatta (https://thelazyweb.com/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

## What it does

Aluna builds curated biomedical datasets and evaluation suites for health AI, currently focused on oncology. Its [current homepage](https://www.alunadata.com/) exposes OncoBench, a planned oncology benchmarking suite, PathFoundry, which the company describes as 2M+ whole-slide images across 25+ tumor types with pathologist annotations, and Duplex, a multimodal dataset pairing whole-genome sequencing, clinical information and digitized pathology slides.

The fit is an AI lab, biotech team or clinical-model builder that needs more than a public benchmark or a raw data dump. Aluna’s value depends on curation, provenance, annotation quality and the ability to compare models across cancer types and treatment modalities. The buyer should be prepared to ask how the data was collected and what the evaluation actually measures.

## Why I’d look closer

The product focus is narrow enough to be useful. Oncology datasets can be structured around a real clinical question rather than a generic “healthcare AI” label,

[Aluna: curated oncology data for biomedical AI](<https://www.thelazyweb.com/companies/aluna/>)

Source observed: 2026-09-20T02:21:42.423Z. Last checked: 2026-10-08T02:07:52.793+00:00.

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