Case study · Agritech
Agricare AI.
AI crop-health diagnostics for smallholder farmers via mobile image capture.
Client Service
Stack
FlutterFastAPITensorFlowGCP
Outcome
94% detection accuracy across 12 major crops.
Results
94% detection accuracy across 12 major crops.
The challenge
Agricare AI needed a platform that scaled from launch day through enterprise contracts — without a rewrite at every inflection point. Early bets on architecture and observability had to hold.
What we built
A production-grade stack designed around Flutter + FastAPI, wired with CI/CD, automated tests, and cloud-native infra. Domain-specific flows were co-designed with stakeholders each sprint.
Impact
94% detection accuracy across 12 major crops.
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