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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

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

Edge AIIoT SensorsCloud AnalyticsDigital Twin

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

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

Secure BootTLS/SSLMQTTOTA Updates

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

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

QiskitPythonWeb SimulatorQuantum Visualization

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

Docstant Integration

An AI-powered doctor assistant for diagnosis and record-keeping in African clinics, improving healthcare delivery in resource-constrained environments.

Technologies Used

Large Language ModelsHealthcare APIsOffline ProcessingLow-resource ML

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