Agriculture
AI-powered seed segmentation and classification
60%+ reduction in grading time
Read the case studyMobile app development
Most of our mobile work runs where connectivity is unreliable and the person holding the phone is not a technical user. That shapes everything: offline-first data, guided flows instead of blank forms, and interfaces that survive a bright afternoon at a procurement centre.
Scope
Full functionality without a connection, syncing cleanly when signal returns. Our seed grading model runs entirely on-device for exactly this reason.
Vision and classification models compressed to run on mid-range Android hardware, so the intelligence travels with the worker.
Guided checks that produce consistent, comparable records from staff with varied training — plus a dashboard that makes those records useful centrally.
One codebase across Android and iOS where that fits, native where performance demands it. We will tell you which you need.
Process
We look at where the app will actually be used — the signal, the hardware, the lighting, the training level.
Guided screens designed for speed and consistency, not feature completeness.
A real pilot at one location before rollout, because field conditions always surprise.
Staged release with monitoring, and training material written for the people using it.
Proof
Agriculture
60%+ reduction in grading time
Read the case studyAgriculture
Fewer quality disputes at the point of purchase
Read the case studyMore
A short call about one real process, and a clear answer on what it would take.