Network Bio launched with $50 million in financing and a collaboration valued at $30 million with Nvidia to develop a cell-free RNA (cfRNA) foundation model. The startup is assembling disease-relevant multimodal training datasets through partnerships with academic biobanks and aims to convert those biobank resources into AI-ready inputs for model development. Asad Ahmad and other leaders said the platform will integrate cfRNA, tissue, blood, molecular, and longitudinal outcome data to support disease detection, biomarker discovery, and drug development. The partnership includes use of Nvidia’s Parabricks nucleic acid analysis software and open-source BioNeMo Recipes tools for modular AI building. A key deliverable is a population-scale cfRNA foundation model developed using Nexus self-supervised transformers, with additional bioinformatics methods to streamline the path from biobank access to model-ready datasets. The launch signals continued investor and compute-backed momentum in foundation-model strategies for biomedical research.