The idea behind Soltracker AI was born from hands-on experience with real PV farms — their performance limits, operational risks, and long-term cost structures. While solar tracking has become an industry standard, many fundamental problems remain unresolved: energy losses under diffuse light, single points of mechanical failure, limited adaptability to grid conditions, and insufficient predictive diagnostics.

Our response is a new generation of solar tracker built around two pillars:
intelligent local control and fundamentally redesigned mechanics.

Soltracker AI uses locally operating AI models that allow each tracker row to adapt to its specific environment. At the same time, the mechanical architecture eliminates the central gearbox, improving reliability, precision, and serviceability.

We are building Soltracker AI as a scalable, globally applicable solution designed for long-term performance, operational resilience, and real economic value for PV developers, operators, and investors.

The project is currently preparing for market entry.