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Industries We Transform
ICU and Ventilator Monitoring
The ICU forecasting system uses AI-driven predictive maintenance to ensure uninterrupted performance of critical medical equipment. By estimating Remaining Useful Life (RUL) and forecasting degradation trends, it enables hospitals to act before failures occur. This approach reduces downtime, supports regulatory compliance with audit logs and explainable AI, and lowers costs through automation-transforming ICUs into intelligent, resilient care environments.
Cold Storage
Cold storage forecasting uses AI to protect sensitive assets like vaccines and perishables by predicting temperature and humidity trends in real time. It estimates Remaining Useful Life (RUL) to prevent threshold breaches, enabling predictive maintenance and timely intervention. This minimizes manual oversight, reduces downtime and costs, and ensures regulatory compliance—making cold storage smarter, safer, and more reliable.
Food & Grain Godown Surveillance
The Food & Grain Godown Surveillance system ensures the protection of essential food commodities like grains and pulses by continuously monitoring environmental factors such as temperature, humidity, and moisture. By using sensor-based alerts and predictive analytics, it helps prevent spoilage, infestation, and structural risks before they escalate. This intelligent, automated approach reduces manual oversight, supports regulatory compliance, and transforms traditional storage into a secure and efficient operation.
Smart Agriculture Monitoring
Smart Agriculture Monitoring enhances crop yield, resource use, and sustainability by continuously monitoring soil, climate, and crop conditions. Using smart sensors and AI, it forecasts irrigation needs, growth stages, and risks like drought or disease, enabling timely actions. This data-driven approach improves productivity, reduces input costs, and supports eco-friendly practices. Automation reduces manual checks and ensures compliance, making farming more intelligent, efficient, and resilient.
Disaster Prediction & Early Warning Systems
Disaster Prediction & Early Warning Systems aim to protect lives and infrastructure by forecasting natural hazards like floods, earthquakes, and cyclones. Using AI models and environmental sensors, the system analyzes patterns to issue timely alerts, enabling proactive evacuation and resource deployment. Automation ensures rapid, accurate communication and reduces manual delays. Overall, it shifts disaster management from reactive to preventive, improving safety, preparedness, and resilience.
Environmental & Pollution Tracking
Environmental & Pollution Tracking helps ensure cleaner and safer surroundings by continuously monitoring air, water, and soil conditions. Powered by sensors and AI, it detects pollution levels, forecasts risks, and enables quick, preventive action. The system automates data collection, supports regulatory measures, and provides insights for sustainable development-turning environmental oversight into a smart, proactive process.
Smart Cities & Building Energy Compliance
Smart Cities & Building Energy Compliance focuses on making urban infrastructure more energy-efficient, sustainable, and compliant with regulations. By leveraging IoT sensors and AI, it tracks real-time energy usage, predicts consumption trends, and identifies inefficiencies. This proactive approach helps reduce energy waste, automate compliance, and support greener, smarter cities and buildings.