A hardware + software + AI-powered platform for real-time structural health monitoring and safety management of critical infrastructure.
Infrastructure in India suffers from aging, maintenance neglect, and safety risks.
Bridges, water tanks, industrial plants, and multi-story buildings across India face critical challenges. Aging infrastructure combined with limited real-time monitoring creates significant safety risks and leads to expensive reactive repairs.
Maintenance teams often lack visibility into structural health, relying on periodic manual inspections that can miss early warning signs of failure. By the time issues are detected, the damage is often severe, costly to repair, and poses serious safety threats.
InfraGuardAI provides continuous, intelligent monitoring of critical infrastructure.
Continuous data collection from IoT sensors tracking vibration, stress, load, corrosion, and environmental factors.
Machine learning models detect anomalies, predict potential failures, and generate proactive maintenance alerts.
Automated risk assessment with instant alerts for critical conditions, enabling rapid response to potential issues.
Track trends over time, understand degradation patterns, and make data-driven maintenance decisions.
Automated reporting for regulatory compliance with exportable data and audit trails.
Web and mobile interfaces for facility managers and engineers to monitor status from anywhere.
Deep-tech integration across hardware, software, and AI.
Modular sensor nodes measuring vibration, stress/strain, load, corrosion, environmental conditions, and tilt. Custom sensor modules designed for harsh environments with data acquisition and transmission capabilities.
Distributed architecture with edge processing for real-time analysis and cloud storage for historical data. Secure data transmission with offline buffering and failover mechanisms.
Anomaly detection algorithms trained on infrastructure behavior patterns. Predictive models for failure prediction and risk scoring. Continuous learning from new data.
Time-series data processing with real-time dashboards showing infrastructure health. Trend analysis, pattern recognition, and exportable reports.
Drone-based periodic image inspection with computer vision for hard-to-access structures. Sensor fusion combining image data with physical measurements.
Designed for diverse infrastructure monitoring needs across industries.
Structural health monitoring for aging urban infrastructure
Safety monitoring for manufacturing and processing facilities
Load monitoring and structural integrity for storage facilities
Monitoring for water infrastructure and storage systems
Continuous monitoring for commercial and residential structures
Preventive maintenance for operational reliability
Our path from prototype to scaled deployment.
Building and testing sensor modules, edge computing units, and core analytics platform. Developing AI models for anomaly detection and predictive maintenance.
Deploying at select sites (municipal bridge, factory, or water infrastructure) to validate technology in real-world conditions and gather operational data.
Expanding to multiple clients and geographies. Refining based on pilot learnings. Building operational infrastructure for deployment and support.
Adding drone-vision integration, water/environmental sensors, automated compliance reporting, and expanded analytics capabilities.
Learn more about pilot programs, deployment options, or partnership opportunities.
Get in Touch