AI Data Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Takahito Sasaki; hereinafter "AI Data") announces the recruitment of three PoC partners for its "Supply-Price Optimization Solution" powered by the optimization AI platform "AI SolarPower on IDX," based on its core AI system "AI Komei on IDX." This initiative aims to address a structural challenge in the energy industry: despite maintaining stable energy supply, companies struggle with unstable profits. This solution integrates and optimizes power generation, supply-demand balance, pricing, energy storage, and market trading to simultaneously achieve both revenue stabilization and maximization for energy businesses. ▼ AI Platform for Solar Power, Battery Systems, and VPP Industries: "AI SolarPower on IDX" ■ Background: Why "Supplying Energy Doesn't Mean Profitability" The energy industry today faces increasing demands for: Maintaining stable supply Expanding renewable energy adoption Advancing market trading sophistication Yet in practice, the following issues persist: Low market prices despite high power generation Unstable revenues despite balanced supply and demand Energy losses due to renewable output curtailment This reflects a situation where "supply is ensured, but revenue is not optimized." ■ Core Issue: "Insufficient Supply and Price Optimization" Energy profitability heavily depends on operational optimization, including: When to supply energy At what price to trade How to adjust supply and demand However, current operations are fragmented across departments: Power generation managed by generation teams Supply-demand adjustments handled by operations Pricing strategies led by market trading divisions This siloed structure leads to: Increased exposure to price volatility risks Missed revenue opportunities Losses from renewable output curtailment Inefficient battery operation The root problem is not supply volume, but "insufficient operational optimization." ■ Solution: Business Optimization AI