Utility-Scale Solar Diagnostics
Every asset, every second, every watt.
Predictive intelligence for utility-scale solar assets using learnt digital twins — developed at UNSW and validated on 350+ MW of Australian PV.
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Mission: uplift the performance and reliability of solar energy generation globally.
The problem of underperformance
Modern utility-scale PV plants are large, complex systems operating in a dynamic and hostile environment. Recent studies of real-world Australian assets show an average loss exceeding 20% due to faults, soiling, and underperformance.
For a typical 100 MW solar farm, that equates to a $5M loss of potential revenue each year. Our services enable you to recover as much as 20% ($1M) of this yearly loss, as well as reduce operations & maintenance costs by up to 20%.
The diagnostics challenge
A wealth of operational data is already collected, but rarely fully utilised to understand the true state of your PV assets. Accurate modelling and analysis of these complex dynamic systems has traditionally been expensive and time-consuming, requiring scarce domain expertise.
As a result, O&M teams lack sufficient oversight and remain stuck in a reactive mode — addressing underperformance only when severe. By then it is usually too late for effective mitigation or recovery, compounding high O&M costs with lost revenue.
We empower you with predictive tools to become proactive.
Our analytics solution
After years of research and development at UNSW's world-leading solar research institute, our technology is ready to solve the diagnostics challenge. We have developed advanced learnt digital twin models and analytical capabilities for your solar assets, leveraging recent advances in artificial intelligence and machine learning.
In the last year alone, we have deployed and validated our products on over 350 MW of Australian PV assets, building trust and providing financial value to our clients. Our digital analytics platform and diagnostics products are now simply waiting for your data.
How it works
Connect your data
Share your existing operational data — SCADA, weather, and asset registers. No new hardware or sensors required.
AI diagnostics
Our learnt digital twin models analyse your assets in real time, detecting faults, quantifying losses, and attributing causes.
Act on insight
Receive clear, prioritised recommendations so your O&M team can target the highest-value interventions and recover revenue.
The platform
Three complementary products covering soiling intelligence, real-time fault detection, and performance attribution — so you can act before losses compound.
PVMaps
Only clean when it makes sense.
Remotely monitor the impacts of soiling using satellite-based hybrid modelling to optimise cleaning schedules.
PVWatch
Catch faults before they hurt.
Real-time AI fault detection and ML fingerprinting for risk assessment and probabilistic prediction.
PVAssess
Know what you're losing and why.
Advanced performance assessment to accurately quantify and attribute separate underperformance losses.
Book a free consultation
Learn what our services can do for the financial performance of your utility-scale asset portfolio.
Book a consultation