Five layers that describe what the platform can do, independent of any one product. Three are foundational — required by almost every direction. Two are differentiation axes — high-risk but high-leverage.
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The shared engineering foundation that sits beneath every product direction. Sample handling, lineage, the geo/remote-sensing substrate, the internal R&D notebook, and the benchmark server.
Everything that gets data and insight from our platform out to the customer — exports, APIs, generated reports, and the interactive explorer where customers click around their results.
An ingestion engine that takes whatever-shape customer data comes in — different field schemas, units, sample identifiers — and normalises it to a standard the rest of the platform can use.
The capability to customise scientific reasoning for each customer's specific question as a productised capability — rather than running it as bespoke R&D per engagement.
Algorithms that move from describing what's happening in soil and crops to recommending what to do — placement, agronomic decisions, automated agronomist-style judgement.