Recent Projects
Explore our latest success stories and the transformative solutions we've delivered for our clients.
GPS Logistics Tracking System
Client: International Logistics Corporation
The Challenge
An international logistics company needed a real-time fleet tracking solution that would work seamlessly even in areas with low connectivity. They required a mobile app that could operate efficiently in the background without draining the driver's device battery.
Our Solution
We developed a native mobile application (iOS and Android) with optimized energy management algorithms and offline/online data synchronization. We created a web dashboard for headquarters with geofencing, AI-based predictive maintenance alerts, and real-time route optimization.
Results
- 20% reduction in fuel costs
- 30% improvement in delivery punctuality
- 25% increase in customer satisfaction
AI-Assisted Medical Diagnostics Platform
Client: Healthcare Innovation Foundation
The Challenge
Improve access to specialized medical diagnostics in remote communities with limited resources.
Our Solution
We developed a secure cloud platform (HIPAA/GDPR compliant) that allows local medical personnel to upload medical images (X-rays, ultrasounds). An AI system analyzes these images, identifies potential abnormalities, and provides a preliminary report in minutes, helping prioritize cases and facilitating remote consultation with specialists. The solution includes a mobile app for easy field uploading and viewing.
Results
- 70% reduction in pre-diagnosis time
- 40% increase in early detection of critical conditions
- Optimization of specialist medical resources
Intelligent Energy Management System
Client: Commercial Real Estate Developer
The Challenge
A large office complex sought to drastically reduce energy consumption and carbon footprint while maintaining occupant comfort.
Our Solution
We implemented an IoT sensor network to monitor real-time consumption of HVAC, lighting, and other systems. We developed a centralized AI system that learns occupancy patterns and environmental conditions to automatically adjust energy settings, predict demand, and optimize the use of integrated renewable sources. The system includes a web interface for administrators and an app for employee feedback on comfort levels.
Results
- 35% savings in annual energy costs
- 25% reduction in CO2 emissions
- Improved building sustainability rating
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