Industry · Agriculture

Precision for smallholders
and commercial estates alike.

From the Kericho highlands to the horticulture corridors of Naivasha, we build AI that respects local cropping realities, market structure, and who actually holds the data.

Where the leverage is
Three realities that make off-the-shelf agri-AI break the moment it meets this region's ground truth.
01

Yield volatility

Weather, input quality, and pest pressure swing outputs by thirty percent year-on-year. Planning, financing, and procurement never catch up.

02

Market opacity

Farmers sell into prices they can't verify; aggregators trade on information asymmetry. The value chain leaks margin at every hand-off.

03

Extension-service scarcity

One agronomist per fifteen hundred farmers is not extension — it is lottery. Advice doesn't reach the plot that actually needs it.

What AI actually does here
Ground-truth AI for estates, aggregators, agri-lenders, and the extension services that hold this sector together.

Satellite crop monitoring

NDVI and thermal imagery fused with weather data to surface stress zones — by block, by week — before they become yield losses.

Pest & disease classification

Image-based diagnosis in Swahili, Kikuyu, and Luo; offline-first so it works where connectivity doesn't, and honest about what it doesn't know.

Market-price prediction

Wholesale and auction forecasts for tea, coffee, maize, and horticulture tuned to local exchanges and export corridors, with confidence bounds not vibes.

Input-optimisation advisory

Per-plot fertiliser, water, and seed recommendations that factor soil tests, rainfall trajectory, and what the farmer can actually afford.

Supply-chain traceability

From farm GPS to export container, with automated evidence packages for EU Deforestation Regulation, GlobalG.A.P., and Rainforest Alliance compliance.

Credit & insurance underwriting

Satellite-informed risk scoring for agri-lenders and index-insurance providers — widening access without widening default.

Three ways in
Right-sized engagements — from a 2-week audit to a multi-quarter programme. Pick the one that matches where you are.
Audit

AI Audit

From $2,500 · 2 weeks

Portfolio scan across your current workflows. Bottleneck mapping, ROI model, and a prioritised roadmap your team can actually execute.

Start here
Build · Most popular

AI Integration

From $7,500 · 6–10 weeks

One high-leverage use case taken to production. Guardrails, observability, and handover documentation your team can own after we leave.

Start here
Scale

AI Transformation

From $15,000 · multi-quarter

Cross-functional programme with embedded model ops, monitoring, and change management. Built to live past our engagement.

Start here

Talk to us about agriculture

Sixty minutes. Bring a problem. Leave with a map.