Solargik announced the launch of SOMA Pro, the next generation of its intelligent monitoring and control platform. SOMA Pro is one of the first tracker-native software systems that fully integrates monitoring, diagnostics, and performance control.
SOMA Pro, Solargik’s AI-powered platform, is built into the core of the company’s tracker hardware, drawing on live data from motion control, site-wide sensors, power meters, and inverter systems. Its integrated design breaks down silos common to third-party SCADA systems or bolt-on controls and provides operators with real-time visibility and full remote control over tracker positioning, energy flow, and site-wide performance. Optimized for complex terrains and light conditions, SOMA Pro allows precise management of energy production—whether remotely stowing the site or fine-tuning behavior at the
single tracker level.
“With SOMA Pro, we have redefined how solar installations can be managed, especially in environments where traditional systems fall short,” said Gil Kroyzer, Solargik’s CEO. “By combining our lightweight tracker technology with an intelligent control system designed in house, we offer a level of adaptability, insight, and flexibility that helps operators extract more value from every site.”
SOMA Pro is Solargik’s own proprietary SCADA platform that seamlessly integrates production monitoring, tracker configuration, and component diagnostics. This unified architecture reduces operational complexity, improves site stability, and eliminates the data blind spots that plague third-party monitoring tools.
At the heart of SOMA Pro is Solargik’s in-house AI performance model, capable of identifying and quantifying energy loss down to specific rows or components. Leveraging advanced machine learning algorithms, the platform achieves detection accuracy exceeding 95%, enabling operators to recover up to 6% in lost energy. Its predictive analytics support targeted maintenance and strengthen EPC contractor collaboration.
Learning from real site conditions, SOMA Pro continuously optimizes tracker positioning based on dynamic elements of the solar plant, such as irradiance, cloudiness, wind speed, and topography. Through a cloud-based interface, operators gain full command of tracker tilt, stow modes (manual or automatic), and production status—from the entire site down to an individual tracker or inverter—enabling faster response to changing conditions and improved energy yield.