Every product we build started as a problem on our own farm. We don’t theorise about African agriculture — we operate in it. The tools we sell are the tools we depend on to make our own harvest decisions.
Four products. One integrated pipeline. Built for a continent that the rest of precision agriculture forgot to design for.
AI-powered early warning for farm-level yield failure — delivered to farmers, agencies, and insurers before the season is lost.
CropSentinel fuses daily Sentinel-2 and MODIS satellite imagery with readings from our IoT soil sensor network. An LSTM ensemble model processes the combined stream against historical African crop stress patterns to output farm-level yield loss probabilities — with a confidence score — up to two months ahead of harvest.
Farmers receive an SMS alert in their local language. District risk maps update in real time for humanitarian agencies. Agri-insurers receive a parametric trigger via API — no loss adjuster in the field required. Everyone gets the signal they need in the channel they actually use.
Per-farm, per-season risk scores rather than district averages — granular enough for parametric insurance triggers and precision aid pre-positioning.
Smallholders receive plain-language warnings via SMS — no smartphone, no internet connection, no app required.
Machine-readable risk triggers delivered to insurer APIs — enabling automatic policy activation without field loss adjusters.
Solar-powered IoT probes that measure NPK, pH, moisture, and compaction — feeding a prescription engine that tells extension officers exactly what each field needs.
SoilPulse deploys a network of low-power soil probes that transmit continuous readings via LoRaWAN — no cellular coverage required. Each node measures nitrogen, phosphorus, potassium, pH, volumetric water content, and bulk density at multiple depths.
A prescription engine ingests the sensor data alongside historical yield records and agronomic rules to generate field-specific fertiliser recommendations — by crop, by season, by block. Extension officers see an actionable recommendation, not a raw number. Agri-dealers can plug in to understand demand before the season opens.
Transmits data over 10+ km in open terrain with a single charge lasting 6–12 months — designed for off-grid farms with no GSM coverage.
Converts raw NPK readings into field-specific recommendations that extension officers can act on immediately — no agronomist interpretation required.
A shared web dashboard gives extension officers, cooperative managers, and agri-dealers a unified view of soil health across their cluster of farms.
Real-time price aggregation from commodity markets, wholesale hubs, and rural networks — giving cooperatives and offtakers a data edge on timing and destination.
In Nigerian agriculture, the difference between a good season and a bad one is often not the harvest — it’s the sell decision. Prices at the nearest market and the regional hub can differ by 30–45%. Smallholders sell urgently because they can’t afford to wait. HarvestIQ gives them a reason — and a window — to hold.
The platform aggregates price signals from commodity exchanges, wholesale market reporters, and a field-agent network. A cooperative manager sees a real-time price spread map and a sell-timing recommendation. SMS price alerts go directly to farmers. Offtakers and processors connect to a price feed API to plan procurement before they send trucks.
Tracks real-time prices across commodity exchanges, wholesale markets, and rural broker networks — updated hourly from a field-agent reporting network.
Rather than raw prices, cooperative managers receive a plain-language recommendation: hold, sell now, or target a specific market — with the spread math shown.
Weekly price digests and threshold alerts go directly to smallholder phones — no app, no data connection, works on any handset in any coverage area.
Daily irrigation schedules generated by AI — combining satellite evapotranspiration, weather forecasts, and SoilPulse soil moisture readings.
Most irrigation in Nigeria runs on calendar schedules or farmer intuition — leading to chronic over-watering in wet spells and under-watering during dry ones. IrrigateAI calculates actual crop water demand daily by combining Landsat-derived evapotranspiration, 7-day weather forecasts, and SoilPulse volumetric moisture readings.
The output is a simple daily schedule: how much water, in which zone, via which valve. Drip and centre-pivot controllers receive the schedule via API — no manual intervention. For large irrigation scheme operators, a water allocation dashboard shows demand forecasts across the entire command area, enabling equitable and efficient distribution.
Combines Landsat satellite ET products with 7-day weather forecasts to calculate actual crop water demand — not a generic lookup table.
Delivers schedules directly to drip controller APIs and centre-pivot automation systems — no manual programming, no agronomist visit required.
Generates volume-by-volume water use logs for river basin authority reporting and climate-smart agriculture compliance documentation.
Each product works independently — but they are designed to share data with each other. SoilPulse feeds CropSentinel and IrrigateAI. HarvestIQ closes the loop with the market.
| Capability | CropSentinel | SoilPulse | HarvestIQ | IrrigateAI |
|---|---|---|---|---|
| Satellite data integration | ✓ | — | — | ✓ |
| IoT sensor network | ✓ | ✓ | — | ✓ |
| AI / ML model | ✓ | ✓ | ✓ | ✓ |
| SMS farmer alerts | ✓ | — | ✓ | — |
| Web dashboard | ✓ | ✓ | ✓ | Soon |
| API / data output | ✓ | ✓ | ✓ | Soon |
| Insurance trigger | ✓ | — | — | — |
| Works offline / no GSM | ✓ | ✓ | — | Soon |
| SON / NAQS compliance output | ✓ | ✓ | — | Soon |
| Current status | Active pilot | Beta | Beta | Coming soon |
You can deploy any single product in isolation. But the four tools are designed around a shared data model — SoilPulse sensor readings flow into CropSentinel’s risk model and IrrigateAI’s scheduling engine. CropSentinel yield forecasts inform HarvestIQ’s timing recommendations.
The more products you run, the more each one knows. A full deployment means one integrated pipeline: sense the soil, predict the season, schedule the water, time the sale.
All products share a single API key and data namespace. Integration with your existing ERP, MIS, or government data system is supported via our REST API and webhook infrastructure.
Whether you need one product or the full pipeline — we start with a conversation. Tell us the problem. We’ll tell you what we can do about it.