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Solar AI continuously detects hidden underperformance and predicts equipment failure before revenue is lost — delivering real-time, component-level insight directly into your existing workflow.
Most solar operations still discover problems after revenue is already gone. Detection delays, generic alerts, and dashboard overload force O&M teams into constant triage — driving unnecessary downtime, safety risk, and lost yield.
Solar AI changes that by delivering predictive intelligence, not monitoring. It tells operators what’s going wrong, why it’s happening, and what to fix first so teams can act early and at scale.
Continuously surfaces hidden underperformance that traditional monitoring misses, enabling earlier, more precise intervention before lost energy becomes lost revenue.
Detects early anomaly patterns that signal impending inverter and component failures, allowing teams to intervene before downtime, safety risk, and replacement costs compound.
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Built to operate at utility scale, Solar AI delivers component-level precision and portfolio-wide prioritization across hundreds of MW to multi-GW fleets.
Delivers predictive insights inside the systems operators already use. No new dashboards, no workflow disruption, and minimal training required.
Built on defense-grade AI and trained on minute-level operational data, Solar AI uses specialized agents to monitor performance and health at the component level — continuously, accurately, and in real time.
Analyzes minute-level operational data to detect issues as they emerge instead of days or weeks later.
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Assigns intelligent AI agents to individual inverters, modules, combiners, and trackers for localized, high-fidelity insight.
Detect and pinpoint hidden underperformance, before it becomes lost revenue.
Predict component-level failure before it becomes catastrophic loss.
Onward Energy’s operations team was stuck in reactive mode. Major underperformance events took weeks to detect, inverter thermal failures were frequent, and preventable losses exceeded $6M annually.
Onward partnered with Accelint to deploy Solar AI across its portfolio, integrating predictive intelligence directly into existing operational workflows.
Solar AI enabled Onward to move from reactive maintenance to proactive, prioritized operations — without adding tools or operational burden.
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