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Multimodal data integration layer
Genomics, Phenomics, and Climate Data
TerraSage is built around the reality that land-biology discovery rarely lives in one clean dataset. The platform provides a structured layer for bringing together literature, omics, field observations, climate exposure, phenomics, soil variables, and remote-sensing data so scientific reasoning can happen across the full evidence base.
Unify heterogeneous scientific and environmental data without losing provenance.
Represent relationships between crops, trees, traits, stressors, genes, sites, and interventions.
Prepare datasets for modeling, ranking, simulation, and active-learning workflows.
Workflows
How the platform supports it
Knowledge graph
Domain model for traits, genes, environments, interventions, evidence, and assumptions.
Data harmonization
Structured ingest and normalization for partner datasets and public scientific sources.
Analysis-ready views
Reusable views for candidate ranking, uncertainty tracking, and downstream modeling.
