At 20n, we are developing techniques to understand cellular behavior at the molecular level. Our metabolic models allow us to observe, predict, and compare cellular functions. Our metabolomics pipeline is the most detailed view into the biochemistry of a cell. Instead of identifying metabolites through brute force, we are using machine learning to understand organisms' metabolomes. By solving the observability problem we are enabling applications in synthetic biology, therapeutic discovery, diagnostics, and treatment.