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



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



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


Our IoT devices follow the certification standards of IEC (IEC 60950-1)

We have been certified by Bureau of Indian Standards