Our Projects
Converting technical work into tangible solutions with real-world impact. Each project is designed to solve a specific challenge with practical, scalable technology.

Predictive Maintenance Platform
A real-time monitoring system for heavy machinery, elevators (FDK), and cooling systems that predicts failures before they occur, reducing downtime and maintenance costs.
Technologies Used
Key Challenges
- •Processing sensor data in real-time at the edge
- •Creating accurate predictive models with limited historical data
- •Designing for harsh industrial environments
Outcomes
- •45% reduction in unexpected downtime
- •30% decrease in maintenance costs
- •Extended equipment lifespan by up to 3 years

Secure IoT Gateway
A physical access controller used in smart estates and logistics hubs, providing secure device connectivity, data privacy, and remote management capabilities.
Technologies Used
Key Challenges
- •Implementing robust security without sacrificing performance
- •Supporting multiple protocols and legacy devices
- •Ensuring reliability in areas with unstable power
Outcomes
- •Zero security breaches since implementation
- •Supports 500+ concurrent device connections
- •Reduced deployment time by 60%

Quantum Sandbox Tool
An internal educational platform that enables experimentation with quantum circuits, making quantum computing concepts accessible to engineers and researchers across Africa.
Technologies Used
Key Challenges
- •Simplifying complex quantum concepts for broader audiences
- •Creating intuitive visualizations of quantum states
- •Balancing educational value with practical applications
Outcomes
- •Training provided to 200+ engineers across 5 countries
- •Development of 3 experimental quantum algorithms
- •Foundation for future quantum application research

Docstant Integration
An AI-powered doctor assistant for diagnosis and record-keeping in African clinics, improving healthcare delivery in resource-constrained environments.
Technologies Used
Key Challenges
- •Adapting AI models to work with limited connectivity
- •Ensuring privacy of sensitive medical data
- •Training models with regionally relevant medical information
Outcomes
- •Reduced diagnostic time by 35% in pilot clinics
- •Improved treatment accuracy by 28%
- •Digitized over 50,000 patient records