Indigo Ag uses machine learning and data analytics to identify and nominate beneficial microbial strains from its library of 36,000+ microbes as candidates for biological seed treatment product development. This AI-assisted screening is part of the company's internal research and development process for its biotrinsic product line.

Indigo's official biologicals science page states that the company's biological science practice leverages microbiology, machine learning, and digital innovation. A separate company blog post describes that Indigo uses data from its microbial library to predict or nominate which strains might be the best candidates for testing in its R&D pipeline to build new biological products. A third-party case study further notes that the company invests heavily in understanding plant-microbe interactions, using machine learning and data analytics to identify beneficial microbes that enhance crop performance under various environmental conditions.