Analytics & Tracking Implementation for Agriculture & Agritech

Consent is now a design input rather than a banner. Under DPDP expectations, how you collect and store behavioural data matters, and retrofitting it is harder than building it in.

In agriculture & agritech, users are offline, on low-end devices, and rarely reading English. That single fact reshapes how analytics & tracking implementation 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 yield estimation, 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.

Built by engineers who ship production systems, not by a practice that subcontracts the build. Six weeks to something running in production, not six quarters to a strategy document.