An analytics platform fusing IoT telemetry, agronomic data and weather patterns into farm-level yield forecasts with actionable irrigation and input-timing recommendations.
Representative engagement — anonymised and illustrative. It describes the kind of problem we solve and the platform we build, not client-confidential performance data.
An agritech company lacked an integrated view of farm sensor data, weather forecasts, and field operations, limiting the reliability of yield predictions and input planning.
We built an analytics platform that fuses IoT telemetry, agronomic data, and weather patterns into farm-level yield forecasts with actionable recommendations for irrigation and input timing.
Sensor, weather and operations data fused into one analytical view
Yield forecasts support weekly planning instead of gut-feel decisions
Irrigation and input-timing recommendations are grounded in field data
Decision lead time improves because forecasts arrive before critical windows
Design and build of an AI-assisted claims processing platform that replaces a decade-old manual workflow with digital intake, automated data extraction and rule-based routing.
Product strategy, architecture and delivery of a multi-tenant property-management SaaS — taking a founding team from vision to a production platform with secure rent payments.
