Uganda-Built. AI-Native. Market-Facing.
Kihani Coffee turns voice notes, field photos, plot context and harvest observations into farmer guidance, operating records and buyer-ready confidence.
Continental Impact Context
The International Coffee Organization estimates Africa has 10-12 million coffee farmers and about 7 million coffee-growing households. Kihani Coffee is building the AI-native field layer for that scale of opportunity.
Prototype Demo
One guided workflow captures farm activity, routes it through AI assistance and produces an approved origin view for buyers and supporters.
Farm profile, operator profile and production-block record are prepared before field capture starts.
Google AI Stack
Multilingual reasoning, image understanding, field-note summaries and operator workflows.
Lightweight field reasoning patterns for low-connectivity Android contexts.
Plot context, crop monitoring and environmental intelligence tied to farm records.
Data foundation for farm, harvest, quality and trusted origin records.
Training media and responsible origin storytelling from approved facts.
The Product
A quiet operating system for profiles, capture, guidance, records and approved market communication.
Harvest Observation From Block 01 Routed For Summarization.
Trust Layer
Kihani Coffee keeps the public layer simple: credibility, records and operating discipline without exposing proprietary market mechanics.
Business Model
Harvest-Linked Coffee Commerce When Coffee Is Available.
Buyer-Facing Provenance And Quality Documentation.
Platform Services And Operating Support As The Network Grows.
No Monthly SaaS Fee For Small Farmers.
Milestones
The Ask
Early access to Google AI tooling, technical mentorship, support on multimodal workflows and feedback from Google and VC partners.