Diagno Energy offers a machine learning platform that continuously analyzes solar installation data to detect underperformance and safety anomalies. It quantifies financial losses and provides natural language diagnostics to help asset owners prioritize maintenance and improve energy generation.
Funding
Funding not disclosed
Founders
Product
Problem
Solar installations can suffer from underperformance and safety issues that are difficult to detect and quantify without specialized tools. This lack of insight leads to financial losses due to suboptimal energy generation and potential safety hazards.
Solution
Diagno Energy provides a machine learning-driven platform for continuous performance and safety analysis of solar installations. The system integrates with existing hardware, such as inverters and power meters, to ingest operational data and local weather information. Proprietary algorithms analyze this data to identify underperformance and safety anomalies, filtering for persistent and significant issues. Diagno quantifies the financial impact of these issues, enabling asset owners to prioritize maintenance and expedite solutions. The platform also offers natural language diagnostics to simplify understanding for non-technical users and facilitates efficient resolution by providing detailed information to technicians.
Target Audience
The primary customers are owners and operators of solar installations, including commercial and industrial asset managers, solar farm operators, and O&M providers seeking to optimize asset performance and mitigate risks.
Features
- Integration with existing inverters, power meters, and third-party monitoring systems.
- Machine learning models for accurate, unbiased performance and safety analysis.
- Continuous cloud monitoring of system data without requiring remote control.
- Intelligent fault filtering and prioritization to flag only persistent and meaningful issues.
- Financial impact assessment to quantify the cost of inaction and guide repair prioritization.
- Natural language diagnostics for clear communication of technical issues.
- Portfolio management capabilities for centralized monitoring across multiple brands.
- Secure data handling with no data sent back from the monitored system.