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Biology for resilient production systems
Agri-Biotech and Microbial Systems
TerraSage AI supports agri-biotech discovery by combining biological knowledge graphs, omics data, soil and climate context, product constraints, and experimental feedback. The goal is to help teams generate and prioritize hypotheses for microbial agriculture, bioinputs, soil-crop systems, and other biology-led interventions for resilient food production.
Reason across microbial function, host response, soil context, and climate stress.
Prioritize bioinput or consortium hypotheses before expensive validation cycles.
Connect lab evidence with field constraints and product-development decisions.
Workflows
How the platform supports it
Mechanism graph
Structured view of organisms, pathways, host traits, environmental context, and evidence strength.
Experiment design
Active-learning recommendations for assays, field tests, and follow-up measurements.
Product rationale
Scientific evidence packages for partner discussions, grants, and validation planning.
