Our mission
Make the invisible visible before it costs you.
Large agricultural operations do not fail for lack of effort. They lose time and money in the gaps between a field visit, a report, a decision, and the next intervention.
We are building the intelligence infrastructure that closes those gaps — giving Agri businesses and agro NGOs, operations directors, and leadership a reliable view of what is happening at field level.
Our market is Africa. Our product is built for the realities of its fields, teams, roads, weather, and operating conditions.
How we work
Principles that shape every product decision.
Evidence over assumption
Every feature we build starts with what farm operators actually observe, not what we think they observe. Field evidence drives the product.
Precision over coverage
A tool that is right 94% of the time on the things that matter is more useful than one that covers everything poorly.
Operator-first design
If a feature adds friction for a field team, it will not survive into production. Adoption depends on the product fitting the work, not the other way around.
Data sovereignty
Your operational data is yours. Primewy processes it to serve you, not to monetise it elsewhere.
Built for imperfect conditions
Low connectivity, varied lighting, inconsistent photo quality — the models and workflows are engineered for the field, not the lab.
Transparency in AI
Every AI output is accompanied by a confidence score and a reasoning path. Your teams make the decisions; Primewy provides the evidence.
The story
We saw the same problem at every Agri business and agro NGO we visited.
Agri businesses and agro NGOs were making critical decisions — about interventions, harvests, resource allocation — based on reports written days after a field visit. By the time a problem appeared in a spreadsheet, the cost of acting on it had already doubled.
Computer vision had advanced to the point where it could read crop conditions from a mobile phone photo. But no one had built the operational layer that turned that computer vision capability into something Agri businesses and agro NGOs could actually use on Monday morning.
Primewy is that layer. Today, our AI is live and in active use by thousands of Agri businesses and agro NGOs. Subscribers use it daily to process over 47,000 field images, automatically extracting crop health data, identifying disease indicators, and routing priority actions to field teams within seconds. It is a live intelligence engine turning real-world agricultural conditions into instant operational decisions.
94%
AI detection accuracy across validated crop conditions
3×
Faster issue identification versus manual inspection cycles
60+
Field condition types recognised by vision models
48 hrs
Average time to first live field intelligence after onboarding
Founders
Agriculture experience meets computer vision depth.
Ezigbo Jonathan
Co-founder & CTO
Computer vision and ML architect designing the inference pipelines that turn imperfect field photos into actionable operational intelligence at scale.
Infrastructure built for AgriTech workloads
Enterprise technology, built to scale with your operation.
Hybrid Cloud & Heavy GPU Compute
Our architecture runs a hybrid stack across Azure and AWS to guarantee 99.9% uptime. Azure Kubernetes Service (AKS) manages the frontend and orchestration, while AWS EC2 instances powered by NVIDIA GPUs handle the massive inference load of processing over 300,000 high-resolution crop images monthly.
AI Image Processing & Machine Learning
AI is the heavy-lifting engine of Primewy. Azure OpenAI Service and Azure AI Document Intelligence actively ingest 600,000+ pages and raw field photos, instantly extracting disease indicators and maturity scores. The models run continuously, scoring 600+ images per hour during harvest spikes.
Storage & Secrets
Azure Blob Storage provides per-tenant isolated containers for terabytes of field evidence, encrypted at rest and in transit. Azure Key Vault ensures all API keys, connection strings, and certificates are securely managed away from the application code.
Identity & Security Operations
We use Microsoft Entra ID with Role-Based Access Control (RBAC) to ensure strict data separation. Microsoft Defender for Cloud and Azure Private Link maintain a secure, immutable audit trail for every operational decision made on the platform.
