AI in agriculture has to work with patchy connectivity and local languages. The path starts with advice and grading that growers can use from a basic phone.
Guidance on pests, disease and inputs from photos and local conditions, in local languages.
Image-based grading that makes pricing faster and more consistent.
Forecasts that help growers, buyers and lenders plan.
Four stages, each ending with a decision. The first line of every stage is specific to your industry.
Use case scoring
12 assessedOwner: Lead agronomist
Measure: grading agreement
Pilot: quality grading
Week 4One crop, one region
Grades matching the agronomist
Decision: continue
Reviewed with the owner
Connected systems
AI use cases
This quarter3x faster grading
At three warehouses
Agriculture happens far from the office and often offline. We build field apps, marketplaces and analytics that capture what happens on the farm and connect growers to buyers, inputs and finance.
Tell us about your business and where the time goes. We will come back with the use cases we would assess first and how we would test them.
