Computer Vision for Agriculture & Agritech

The retraining pipeline is the deliverable people forget. Conditions drift, new defect types appear, and a model nobody can retrain quietly rots over a year.

In agriculture & agritech, users are offline, on low-end devices, and rarely reading English. That single fact reshapes how computer vision has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is procurement automation, usually integrated against farm management platforms. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. You own the code, the models where they are open-weight, and the documentation to run it without us.