Machine-learning classification
Models that assign what is present in your sample and predict what those organisms are able to do for the crop.
Our technology
Powered by AI, grounded in genomics
DNA sequencing paired with machine-learning models trained on soil ecosystems, built to turn a very large amount of data into a small number of decisions.
Curated soil databases
Reference databases for soil organisms, updated as the science moves, spanning biomes and climate zones.
Predictive modelling
Microbial profiles correlated with soil-health indicators to estimate nutrient capacity and disease risk.
Paddock benchmarking
Every paddock scored on the same scale, so your paddocks can be compared against each other and against your own earlier results.
Season-by-season tracking
Re-sample and compare against your own baseline to see whether the change you made actually worked.
Custom workflows
Bespoke sampling designs and analysis for research teams and larger programs.
Ready to find out what your poor paddock is missing?
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