The Intelligence Layer

for Solar Infrastructure

 Optimizing PV asset health and performance across commissioning, operations, and long-term resilience.

ABOUT US

Solarisᴬᴵ builds advanced data intelligence for the modern energy landscape. We look at large-scale solar assets through the lens of foundational power systems engineering, combining artificial intelligence with the laws of physics. By anchoring our technology in physical realities, we deliver highly transparent diagnostics across every layer of a solar farm, from panels, trackers, and inverters to weather stations, pyranometers, and complex sensor networks.

Operating as an intuitive diagnostic partner, Solarisᴬᴵ helps operations and maintenance teams pinpoint the exact root causes of underperformance, soiling, and hardware faults. Originally developed at the University of Queensland, our technology pairs rigorous engineering discipline with intelligent data automation. This gives asset owners and field technicians the clear, physics-backed insights they need to maximize energy output, safeguard investments, and ensure long-term grid reliability.

TRUSTED BY

SERVICES

  • Unified DC & AC Side Loss Identification

    Continuous diagnostic monitoring isolates and quantifies energy losses across both the DC and AC sides of the facility. By evaluating data straight from the arrays up to the primary substations, our system decouples complex efficiency drops by separating unavoidable environmental soiling from localized electrical anomalies, inverter degradation, and structural clipping. This ensures your field teams know exactly where energy is being lost and what is causing it.

  • High-Resolution Spatial Analytics

    Digital spatial mapping transforms thousands of disconnected sensor inputs into a single, intuitive layout of your asset’s physical performance. This macro-to-micro geographical interface allows asset managers to instantly visualize underperformance patterns across the entire farm. By anchoring real-time data to its exact physical location, you can pinpoint systemic issues across specific rows, blocks, and tracker arrays without stepping foot in the field.

  • Proactive Operations

    Proactive maintenance signaling shifts your field operations from reactive firefighting to strategic intervention. Rather than guessing exact failure timelines, our platform monitors subtle performance drifts and thermal variances that deviate from electro-physical baselines. By flagging these early indicators of structural or component wear, we provide your teams with the predictive lead time necessary to schedule inspections, optimize parts logistics, and prevent costly forced outages.

Key industry partners have contributed to the development of the Solarisᴬᴵ SaaS platform. The past and ongoing cooperation with these companies, along with the support from UQ, have been instrumental in the success of the technology roll-out. These businesses have included Edify Energy, Weidmuller, Gentari Solar Australia and Genex Power. There are several important projects worth mentioning.