Research

Crowe Logic develops the CroweLM model family for cultivation intelligence. The work is grounded in one thing most model builders do not have: a working farm, and the records it produced over two decades of commercial growing.

The corpus

The training corpus comes from real operations: species records, environment telemetry, grow logs, harvest outcomes, and documented procedures collected across twenty years of commercial cultivation. The species library currently documents 36 cultivated species, each with the parameters and procedures that produced real harvests.

The models

The CroweLM family is fine-tuned and evaluated for cultivation tasks: diagnosis of what is going wrong in a grow, planning of what to do next, and prediction of what a given set of conditions will yield. Evaluation is task-driven; a model ships when it performs on the work operators actually bring to it.

Where it ships

CroweLM models ship in CroweLM Chat, through the platform gateway, and inside Crowe Logic Cortex. One model family, three surfaces, the same grounding underneath.