PRF Technologies Expands DeepSolar Predict™ Platform with Battery-to-Revenue Intelligence, Extending AI-Driven Revenue Optimization Across Solar and Energy Storage Assets

PRF Technologies Ltd. (Nasdaq: PRFX) (“PRF” or the “Company”) today announced the expansion of DeepSolar Predict™, the Company’s AI-driven renewable energy revenue optimization platform, with Battery-to-Revenue Intelligence, a new capability designed to extend the platform’s optimization workflows to battery energy storage assets. The announcement follows the Company’s recently completed validation of DeepSolar Predict using real-world European market data, as PRF continues to advance the solution toward planned commercial launch.

Battery-to-Revenue Intelligence is designed to help renewable energy operators move beyond battery monitoring by connecting storage availability, operational constraints and market conditions into decision-support workflows for revenue optimization. The capability is intended to support operators as they evaluate when to store, dispatch or preserve battery capacity based on market opportunities, production forecasts and changing grid conditions.

As renewable penetration increases, operators are no longer managing only production — they are managing financial exposure, imbalance risk, curtailment risk and storage flexibility in increasingly dynamic power markets. PRF believes battery energy storage systems will play a growing role in this transition, particularly as asset owners seek to improve market participation and maximize the value of renewable generation and storage assets.