SUNLYTIX
Predict•Prevent•Power the Sun
Sunlytix helps solar plant operators detect inverter risks early and take preventive action before power generation is affected.
0.82
86%
72°C
Risk Trend — Last 7 Days
AI Insight: INV-21 shows sustained temperature rise and declining efficiency. Recommend scheduling inspection within 48 hours.
Traditional monitoring approaches leave operators reacting to problems instead of preventing them.
Most plants detect inverter problems only after alarms trigger.
Unexpected inverter failures reduce power generation and plant efficiency.
Operators spend hours analyzing telemetry data to identify problems.
Sunlytix analyzes inverter telemetry data and identifies early warning signs so operators can take action before failures occur.
Identify performance degradation days before a shutdown.
Understand why an inverter is behaving abnormally.
Receive clear maintenance guidance for high-risk inverters.
Upload inverter telemetry data or connect monitoring systems.
Sunlytix processes telemetry signals to detect abnormal patterns.
Each inverter receives a risk score indicating the likelihood of failure.
The platform generates clear explanations and recommended actions.
A clean, intuitive dashboard designed for operators who need actionable data at a glance.
| Inverter ID | Temperature | Efficiency | Risk Score | Status |
|---|---|---|---|---|
| INV-21 | 72°C | 86% | 0.82 | Critical |
| INV-15 | 65°C | 90% | 0.61 | Warning |
| INV-09 | 48°C | 96% | 0.12 | Normal |
Predict inverter failures using patterns learned from historical telemetry data.
Identify the key factors contributing to inverter risk scores.
Generate operational summaries and answer plant health questions using retrieval-based AI insights.
An intelligent AI assistant that understands your plant data and provides actionable answers.
Sunlytix AI Assistant
Online
Which inverters have the highest risk today?
Why is inverter INV-21 showing abnormal behavior?
What maintenance action should be taken?
Based on today's telemetry data, INV-21 has the highest risk score of 0.82. The primary contributing factors are elevated module temperature (72°C) and declining conversion efficiency (86%). I recommend scheduling a thermal inspection and checking the cooling system within the next 24–48 hours.
Join operators who prevent failures before they happen.