AI-Kit™
AI Platform for Solar Pump Optimization
AI-Kit™ combines edge devices, cloud analytics and machine learning to monitor solar-powered water pumping systems, improve operating efficiency and support predictive maintenance.
Problem
Solar pumps often operate below optimal efficiency due to changing irradiation, borewell conditions, controller settings and limited field visibility.
Solution
AI-Kit™ captures live operating data, analyzes performance trends and generates actionable recommendations for improved pump operation.
Impact
The platform supports improved water delivery, reduced manual intervention, better asset utilization and scalable remote monitoring.
Platform Architecture
Field Devices
Solar pump controller, sensors, RMS and edge hardware.
Edge AI
Local data collection, preprocessing and device-level intelligence.
Cloud Analytics
Dashboards, telemetry storage, historical analysis and APIs.
AI Recommendations
Operating guidance for frequency, efficiency and performance improvement.
Field Validation
AI-Kit™ is being validated through real-world solar pump deployments covering community water supply and agricultural pumping use cases.
Pilot-1: CSV Solar Pump
Community solar pump deployment at Concorde Silicon Valley, Electronic City, Bangalore.
- Live telemetry collection
- Cloud dashboard integration
- AI recommendation engine validation
- Remote monitoring capability
Pilot-2: Farm Pump
Agricultural deployment focused on solar pump optimization, telemetry analytics and scalable rural implementation.
- Farm-based deployment
- AI training using field telemetry
- Remote cloud monitoring
- Expansion potential identified
Development Roadmap
Monitoring
Reliable telemetry acquisition, cloud dashboards and field performance visibility.
AI Analysis
Machine-learning based recommendations for operating efficiency and predictive maintenance.
Controlled VFD Access
Safe, controlled interface development for future optimization and automated control use cases.
Affordable Rural Deployment
AI-Kit™ is moving from pilot deployment toward cost-optimized hardware integration using PCB-based modules, controlled VFD interface development and scalable deployment for rural and agricultural users.