Bridging the gap between AI companies and pharmaceutical organizations through expert data engineering
Comprehensive data engineering solutions for experimental biology
Transform publicly available biological datasets into clean, AI-ready training data
Generate high-quality experimental data with in-house former National Lab Scientists
Custom data engineering solutions for pharmaceutical companies with complete confidentiality and security
BioDataHub specializes in transforming complex experimental biological data into standardized, AI-ready datasets. Our expertise bridges the critical gap between raw experimental data and the clean, structured inputs required for machine learning applications in drug discovery and biological research.
Data Processed
Experimental Types
State-of-the-art tools and frameworks for biological data engineering
Our flagship project demonstrating end-to-end data engineering capabilities
AlphaSAXS transforms Small-Angle X-ray Scattering (SAXS) experimental data directly into accurate protein structure predictions using advanced AI models. This project, accepted at ICLR 2025 GEM Workshop, showcases our ability to build sophisticated data pipelines that bridge experimental techniques with cutting-edge AI.
View on OpenReviewTransform your experimental data into AI-ready solutions
Contact us to discuss how BioDataHub can transform your experimental biological data into powerful AI-ready datasets.