Sunnybotics offers an AI‑powered platform that combines edge‑deployed sensors with autonomous drones and ground robots to continuously monitor, clean, and inspect utility‑scale solar PV installations. The system predicts equipment degradation, automates maintenance tasks, and provides real‑time performance analytics through a secure cloud dashboard and open APIs, helping operators lower O&M costs and improve energy yield.
Funding
Funding not disclosed
Founders
Product
Problem
Solar photovoltaic (PV) operators often rely on manual inspections and reactive maintenance, which drives high O&M expenses, limits real‑time performance visibility, and leaves generation capacity under‑utilized.
Solution
Sunnybotics delivers an end‑to‑end platform that fuses AI analytics, edge‑deployed sensors, and autonomous robotics to continuously monitor and service PV installations. The system ingests high‑frequency inverter, weather, and sensor data, runs predictive‑maintenance models, and dispatches robotic units for tasks such as panel cleaning and fault inspection without human intervention. Optimized set‑point control and automated defect remediation raise energy yield while trimming labor‑intensive O&M costs. All insights and control commands are exposed through a secure cloud dashboard and standard APIs, enabling operators to act on actionable intelligence from any device.
Target Audience
Primary customers are utility‑scale solar asset owners, independent power producers, and EPC firms that manage large‑capacity PV portfolios and require automated O&M solutions.
Features
- AI‑powered predictive‑maintenance engine that forecasts degradation and schedules interventions before performance loss occurs
- Autonomous drone/ground‑robot fleet equipped with LiDAR and computer‑vision for panel inspection, cleaning, and hotspot detection
- Edge computing nodes installed on‑site to preprocess sensor streams, reducing latency and bandwidth usage
- Real‑time performance analytics dashboard with KPI visualizations, alarm thresholds, and exportable reports (CSV, PDF)
- Open REST/OPC‑UA APIs for seamless integration with existing SCADA, EMS, and asset‑management systems
- Cloud‑native analytics pipeline leveraging deep‑learning models to correlate weather, irradiance, and equipment health for yield optimization
- Remote firmware and software update capability for both hardware units and AI models, ensuring continuous improvement
- End‑to‑end encryption and role‑based access control compliant with ISO 27001 and IEC 62443 standards