Our technology
Our unique physics-based pattern recognition powered by AI and ML is Swiss technology developed in collaboration with best PV research institutes
Deep-data analytics and decision-making tools for smart solar assets management, financials & business insights for maximized outputs.
Algorithms successfully tested and validated on real solar PV data sets. Research-backed deep-data analytics and decision-making tools for smart solar asset management.
Physics-based fault detection algorithms
Decades of R&D and field experience in solar energy systems
Identifies patterns of each fault on V, I & T
Uses AI/ML for more precise and faster fault diagnosis
OUR TECHNOLOGY
HelioCloud
Real-time deep-data analytics to automate fault diagnosis, prediction, and prescription of actions
Algorithms easily integrate with any data stream; SCADA or Any monitoring portal (3rd party or in-house developed)
Empowers your monitoring platform with advanced level analytics
Decouples and localizes faults & prescribe actions in real-time to ensure optimal plant performance
Predicts faults and forecasts the impact of existing problems on plant production
OUR TECHNOLOGY
HelioHealth
World’s first sensor providing panel-level analytics.
5 sensors per MW is all you need.
Dynamic switching between SMS and internet-based communications, ensuring >99% data availability
Edge computing at a panel-level helps understand panel-level behavior faster
Works in a mesh network with other HelioHealth sensors to gather intelligence at a local level.
Labeled by the prestigious Solar Impulse Foundation
Plug & play to any solar panel using MC4 connectors
Our Research Partners
They Help Us Grow
Certifications
Our IoT devices follow the certification standards of IEC (IEC 60950-1)
