Custom IoT devices, firmware development, and wireless connectivity solutions.
Real-time AI inference at the edge with optimized models and low-latency processing.
Manufacturing automation, predictive maintenance, and industrial monitoring solutions.
Large-scale sensor deployments with real-time data collection and analytics.
End-to-end security for IoT devices, data encryption, and secure communication protocols.
Stream processing, event-driven architectures, and real-time decision systems.
Manufacturing plant needed predictive maintenance system for 500+ machines to reduce downtime and maintenance costs.
Deployed IoT sensors with edge computing nodes running TensorFlow Lite models for real-time anomaly detection.
60% reduction in unplanned downtime, $2M annual savings, 90% accuracy in failure prediction.
City government needed intelligent traffic management system for 200+ intersections to reduce congestion.
Implemented computer vision at edge with traffic cameras, real-time optimization algorithms, and cloud analytics.
25% reduction in traffic congestion, 15% improvement in emergency response times.
Large farm operation required soil monitoring, irrigation automation, and crop health analysis across 10,000 acres.
Built LoRaWAN sensor network with satellite connectivity, edge processing, and mobile farmer dashboard.
30% water savings, 20% crop yield improvement, real-time monitoring of 1000+ sensors.
Hospital needed continuous monitoring system for 500+ patients with real-time alerts and HIPAA compliance.
Developed wearable devices with edge AI for vital sign analysis, secure data transmission, and alert system.
40% reduction in emergency incidents, 24/7 monitoring, full HIPAA compliance achieved.
Utility company required smart grid monitoring and optimization for renewable energy integration.
Implemented edge computing at substations with real-time load balancing and predictive analytics.
15% improvement in grid efficiency, seamless renewable integration, 99.9% uptime.
IoT architecture design, device selection, and connectivity planning.
Hardware prototyping, firmware development, and proof-of-concept validation.
Edge computing setup, cloud integration, and end-to-end testing.
Production deployment, device management, and continuous monitoring.