Metabolic and computational models in the cultivated meat industry. The cultivated meat industry uses knowledge from stem cell biology, tissue engineering, biomaterials, and other fields to grow structured and unstructured animal products. The production process starts by isolating cells from initial cell biopsies from selected animals and characterizing these cell lines and immortalizing them. The cells eventually undergo cell expansion in bioreactors of different scales and are sometimes differentiated into different cell types. Finally, the cells are used to make unstructured products, where the mass of cells can be used for food items like burgers, meatballs, and sausages, or structured products, in which case multiple cell types are seeded or 3D printed into biomaterial scaffolds. The cultivated meat media faces the challenge of high costs, which are mostly driven by cell culture media. Metabolic and computer models can be used to guide serum-free media development and cellular engineering approaches to make cells rely on less expensive media, grow faster, or produce their own growth factors. Broad use of metabolic and computer models will require the existence of publicly available databases with data sets on biomass composition of tissue and cell lines from the species of interest to the cultivated meat field, along with experimental uptake and excretion rates of metabolites like glucose, lactate, ammonia, among others. Additionally, transcriptomic, metabolomic, and proteomic data from different cell lines will help to constrain and develop cell line–specific models. These databases can also help accelerate the creation of machine learning and artificial intelligence models that leverage existing data and previous experimental results to accelerate research and development over time.