
Aluna
Aluna is a data foundry providing curated human biomedical datasets for life science AI development. Its offerings include OncoBench, a benchmarking suite with 2M+ whole slide images across 25+ tumor types annotated by board-certified pathologists, and Duplex, which pairs whole genome sequencing data with clinical information and digitized pathology slides for multi-modal analysis.
- Biotechnology
- Artificial Intelligence
Funding
Raised to date
$500KRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Founders
Founder details are not available yet.
Product
Problem
Developing reliable AI models for life science applications requires large volumes of high-quality, well-annotated human data. However, such data is often fragmented, inconsistently labeled, or inaccessible, making it difficult for researchers to build and benchmark models that generalize across diverse clinical scenarios.
Solution
Aluna operates as a data foundry that curates specialized biomedical datasets for life science AI. The company provides resources that combine whole slide imaging, genomic sequencing, and clinical information to support multi-modal analysis. These datasets are designed to enable the development and benchmarking of AI models, particularly in areas like oncology research, by ensuring data quality and clinical relevance.
Target Audience
Primary customers are life science AI researchers, computational pathology teams, and oncology-focused drug discovery and diagnostic development organizations that need high-quality, annotated human data for model training and validation.
Features
- OncoBench: A biomedical AI benchmarking suite containing 2M+ whole slide images across 25+ tumor types with H&E, IHC, and IF stains, each slide including diagnoses and annotations from board-certified pathologists
- Duplex: Whole genome sequencing data paired with clinical information and digitized pathology slides for comprehensive multi-modal analysis
- Datasets are curated to support both model development and benchmarking workflows