What we do
At SymbioMatch, we move beyond the traditional “one-size-fits-all” approach to biostimulants.
Using machine learning, our platform analyses crop and soil data to recommend the optimal soil-bacteria-crop combination for tailored biostimulant formulations.
These biostimulants are coated directly onto seeds, allowing farmers to use their existing sowing equipment—no additional steps required.
Our initial formulations consists of biofertilisers for legumes, which have already been tested in field trials.
We’ve discovered that the effectiveness of biofertilisers relies on complex tripartite interactions between bacteria, plants, and soil.
To tailor our natural biofertiliser formulations, we:
-Track beneficial soil bacteria using specialised molecular tools
-Assess plant growth to evaluate bacterial effectiveness
-Collect and standardise complex data
-Apply deep learning techniques to interpret this data
This integrated approach enables us to deliver precisely targeted, high-performance biofertilisers optimised for specific crops and soil conditions.