Artificial Intelligence
The intelligence behind connected systems
Our IoT devices measure the world. Our AI decides what to do about it, on the edge when the network is gone and in the cloud when scale matters.
Capability
Focusing on Applied AI
Our AI research is measured against real-world targets: accuracy in the field, operational efficiency, and cost reduction.
Agricultural AI
Crop stress detection, irrigation advisory and yield insight research.
Computer Vision
Detection and counting from camera and drone imagery.
Machine Learning
Models trained on locally collected, domain specific data.
Predictive Analytics
Forecasting water need, failure risk and crop performance.
AI Automation
Closed loop control driven by model output rather than manual checks.
AI Assistants
Voice and chat advisory in English, Hausa and French.
Decision Support
Ranked recommendations with the evidence behind them.
Agricultural Data
Clean, structured farm records that models and people can both use.
Method
From raw telemetry to deployed intelligence
01
Data
Collect and label agricultural datasets from our own field work and research.
02
Train
Build and benchmark models against measurable operational targets.
03
Deploy
Ship to edge devices and cloud services with monitoring built in.
04
Improve
Retrain continuously as new field data arrives.
Edge AI
Intelligence that works offline
Our models run on low cost edge hardware so a factory, clinic or farm keeps making decisions when connectivity fails, then syncs when it returns.
Target Spec
94% Field Accuracy
Target Spec
<3s Inference
Target Spec
40k+ Labelled Images
SYLUTION
Let's build the next deployment together
Investors, banks, governments, NGOs, universities and enterprises, talk to our team.
