Predictive Maintenance. Physics-informed AI. Solar Plant. Machine Learning.
Detection & Prescription
Boost Your Plant's Performance
Plug in Autopilot into existing SCADA or CMS platform, fetch data and process it with physics informed AI algorithms to get real-time faults results pushed back to your platform.

Onboarding & Integration
Leverage Your Existing Data
Our seamless integration process involves connecting to your current infrastructure, including SCADA or other monitoring platforms. With just a few clicks, our AI-powered onboarding process begins, allowing us to quickly optimize your plant’s performance by analyzing its data.


Physics-informed AI models
Boost Your Data Quality
Our cutting-edge algorithms rely on AI technology that incorporates physics and pattern recognition. This enables us to analyze data with minimal datasets and just two parameters, Voltage and Current, ensuring accurate and efficient results.
Smart Reinforcement
Learning From Your Feedback
Autopilot provides you access to the identified fault patterns for your review, full transparency. This empowers you to confidently assign faults and provide additional solution recommendations for your O&M teams. The ground teams can easily share their feedback, ensuring efficient and effective decision-making

smarthelio solutions - Explore Use Cases
Inverter Failures Prediction
Problem:
Inverter began to fail frequently, and the root cause was unidentified.
The SmartHelio Solution:
The supervised ML models detected early patterns of inverter failure. Overheating issues were prompted as the probable cause. Our predictive intervention avoided one week time which it would have taken to find the root cause and fix the failure.
smarthelio solutions - Explore Use Cases
String Disconnect in Central Inverter
Problem:
Some inverters, intermittently, were observed to produce less energy than the others.
The SmartHelio Solution:
Patterns of late inverter wakeup was detected due to RISO fault, due to moisture, which would turn off that string. Our predictive intervention avoided string disconnection and hence string shutdown time of ~3-4 days were saved.
smarthelio solutions - Explore Use Cases
Cleaning Optimisation
Problem:
Sandstorm covered the panels, production reduced by 62%. Client scheduled the site for cleaning 1 day after the sandstorm. This would cost EUR 20,000.
The SmartHelio Solution:
Our Dynamic Cleaning Schedule forecasted the rain (150mm) within 2 days would be enough to reach cleanliness effectiveness. The 3rd day from sandstorm, there were heavy rains at the site which was sufficient to get back to the PR level prior to the sandstorm.
smarthelio solutions - Explore Use Cases
Vegetation Growth
Problem:
Production loss of up to 18% for inverters, increasing over the months.
The SmartHelio Solution:
Our system utilised advanced pattern recognition algorithms to detect evolution of horizons profile. Our supervised ML models then identified pattern of vegetation and optimised trimming interventions based on projected vegetation growth trends.
smarthelio solutions - Explore Use Cases
Enhance Forecasting Accuracy with SmartHelio
Problem:
Heavy penalty levied due to deviation in forecasted production values.
The SmartHelio Solution:
Advanced integrated approach combining models on plant’s health prediction and long-term climate change scenarios deployed to forecast resources and production with 99% accuracy.
Our Impact
The Difference We Create
We have surpassed our competition, empowering you to triumph over yours.
5GW
Asset Under Management
10%
Average Output Increase