For human cell models to effectively validate drug discovery pipelines, they must yield reproducible data. To realise the full potential of AI in drug discovery, the industry requires LLMs to be trained on precisely controlled biology. Standardised human cell models serve as a critical mechanism for generating these inputs, producing data that accurately reflects human physiology and yields consistent experimental results. These comprise: enhancing clinical translation through relevant human models, eliminating experimental noise via strict data reproducibility, and generating high-quality human datasets to power next-generation, AI-driven drug discovery. The broader adoption of human cell models offers a scalable solution to each of these hurdles.