Reduce post-harvest losses by up to 40%.
GrainGuard uses AI and IoT to help cooperatives, NGOs, agri-businesses, and AgriTech firms detect moisture, heat, and deterioration risks before they become costly losses.
Post-harvest losses cost Africa over $4 billion annually.
Up to 30% of grain harvested in Sub-Saharan Africa is lost after harvest due to poor storage conditions — moisture build-up, heat pockets, pest infestation, and contamination that goes undetected.
Storage teams at cooperatives and warehouses cannot continuously monitor every zone across every facility. By the time a visible problem appears, the grain has already lost significant commercial value.
For NGOs distributing food aid, spoiled grain means wasted resources and communities going without. For agri-businesses, it means lost revenue and broken supply chains.
Left: Unmonitored storage leads to devastating grain losses. Right: IoT-monitored facility with real-time data.
AI that protects your grain from the moment it enters storage.
GrainGuard combines computer vision, IoT sensor data, and machine learning to give cooperatives, NGOs, and agri-businesses full visibility into their storage conditions — so they can act before losses occur.
Real-Time Monitoring
24/7 AI-powered monitoring of moisture, temperature, and visual anomalies across all your storage zones.
Early Warning Alerts
Detect deterioration risks up to 48 hours before visible damage occurs. Receive instant alerts via SMS, email, or in-app.
Actionable Intelligence
AI-generated risk assessments with prioritized inspection recommendations for your storage teams.
Enterprise-Grade Security
Built on Microsoft Azure with end-to-end encryption, role-based access, and full audit trails for compliance.
From storage floor to early warning in three steps.
Connect
Deploy IoT sensors across your storage zones or use smartphone-based capture. GrainGuard integrates with existing infrastructure.
Analyse
Azure-powered AI analyses visual patterns, moisture readings, and temperature data in real-time using machine learning models.
Act
Receive prioritized alerts and AI-generated inspection recommendations. Your team knows exactly where to focus first.
A live view of your storage risk, zone by zone.
Our platform gives your team a real-time dashboard to monitor every storage zone, view AI assessments, and take action on inspection recommendations — all from one interface.
Select a zone to open its detail view.
AI that watches the storage conditions teams can't continuously monitor.
GrainGuard combines computer vision with environmental sensor data to prioritise which storage zones deserve attention first. Built on Microsoft Azure, our platform delivers enterprise-grade reliability at scale.
- Storage-area images via IoT cameras
- Real-time moisture sensor readings
- Temperature & humidity data
- Historical storage observations
- Automated inspection records
- Abnormal visual patterns & discolouration
- Moisture-related risk zones
- Temperature anomalies & hot spots
- Early-stage deterioration signals
- Priority areas requiring immediate inspection
Real results, measured impact.
Live metricsMonitoring efficiency across active storage zones.
Storage zones actively monitored across partner facilities.
Average reduction in post-harvest losses for our partners.
Agricultural organizations using GrainGuard.
Platform uptime powered by Microsoft Azure.
Post-harvest intelligence is becoming as critical as farm intelligence.
Agricultural technology has focused heavily on production — planting, inputs, yield. But storage remains a massive blind spot where quality and value are lost after the field work is already done.
With food security becoming a global priority, organizations need reliable tools to protect harvested grain at scale. GrainGuard fills this critical gap.
Built on Microsoft Azure.
GrainGuard is built on Microsoft Azure's enterprise cloud platform, providing the scalability, security, and reliability that agricultural organizations demand. Our architecture leverages best-in-class Azure services for IoT, AI/ML, and data processing.
Built for the organizations responsible for what happens after harvest.
GrainGuard is built at the intersection of agriculture, software, and applied AI.
Our focus is helping cooperatives, NGOs, agri-businesses, and AgriTech firms protect the value of harvested grain through intelligent, automated monitoring.
Ibrahim Yusuf
Leads the computer-vision and machine-learning systems behind GrainGuard's storage-risk detection, built on Microsoft Azure's AI platform.
See how GrainGuard can protect your grain storage operations.
Whether you manage a single warehouse or hundreds of storage facilities across a region, GrainGuard scales to fit. Schedule a demo to see how AI-powered monitoring can reduce your post-harvest losses.
Or email us at ebubepaul@grainguard.site