Platforms, systems, and methods for scale-up systems with artificial intelligence guided operation modifications

A system comprising:

• one or more computers;
• and
• one or more storage devices communicatively coupled to the one or more computers, wherein the one or more storage devices store instructions that, when executed by the one or more computers, cause the one or more computers to perform operations for implementing:
• a prototype system configured to evaluate strains that produce outputs;
• an optimization system configured to improve performance of the strains in producing the outputs;
• a scale-up system configured to adapt laboratory-scale processes associated with the strains to commercial-scale production of the outputs using at least one of the strains;
• and
• a set of artificial intelligence models trained on data from each of the prototype system, the optimization system, and the scale-up system, wherein the data comprises at least one of genetic modification data, metabolic pathway data, or process environment data;
• and
• a subsystem configured to perform operations comprising:
• receive performance data from one or more of the prototype system, the optimization system, or the scale-up system;
• update the set of artificial intelligence models based on the performance data;
• and
• adjust operational parameters for at least one of the prototype system, the optimization system, or the scale-up system using the updated set of artificial intelligence models.