Advancing AI, Edge Computing & IoT for Real-World Impact
Our research initiatives focus on building next-generation AI and IoT systems that solve complex industrial, environmental, and societal challenges — combining applied research with scalable engineering.
3+
Research Focus Areas
20-25%
Energy Reduction
30-40%
Downtime Reduction
Real-Time
Edge AI Processing
Where We Push The Boundaries
Three interconnected pillars of research designed to transform how industries operate, measure, and sustain.
Edge AI for Real-Time Decision Intelligence
We develop lightweight AI models optimized for edge devices to enable real-time analytics without relying solely on cloud infrastructure. Our research improves latency, reliability, and operational autonomy across industrial and remote environments.
Faster processing, reduced bandwidth costs, and enhanced operational resilience.
Sustainable Energy Optimization Algorithms
Our research explores AI-driven energy modeling and smart grid optimization techniques. By combining IoT sensor networks with predictive analytics, we help industries reduce carbon emissions and energy waste at scale.
Improved energy efficiency, lower operational costs, and measurable ESG compliance.
Predictive Maintenance & Autonomous Systems
We design AI models capable of predicting system failures using IoT telemetry data, anomaly detection, and machine learning algorithms. This research supports self-monitoring infrastructure and automated corrective systems.
Reduced downtime, extended asset lifespan, and improved operational continuity.
Research in Action
Real-world scenarios where our applied research delivers measurable, transformative outcomes.
AI-Powered Smart Energy Monitoring
An industrial facility experiences fluctuating energy loads and rising electricity costs.
Technologies Applied
Outcomes
20–25% reduction in energy consumption
Optimized peak load management
Improved sustainability reporting accuracy
Ready to Transform Your Operations?
Partner with GMIndia's research team to leverage next-generation AI, Edge Computing, and IoT for real-world industrial impact.