A pond is a cohort.
Our batch model follows a cohort from propagation to dispatch, retaining every treatment, movement and regulatory touch on the batch. A stocking of smolt or fry maps directly: a cohort that enters the system at a date, grows through stages, and exits as a harvest or transfer.
Movement records, treatment logs, mortality events, and the audit retention your national regulator asks for - all of that already has a home in the ledger.
Water is a continuous signal.
We would need to treat water-quality telemetry - dissolved oxygen, pH, ammonia, temperature - as first-class signals. Stage transitions (fry to parr to smolt, for example) and disease-response workflows would need native modelling too.
If you run a freshwater or marine operation and the shape is roughly right, start the conversation. We are asking whether the fit is close enough to build on.
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