Build 'GridSync AI'—a $10K/year SaaS platform for mid-market energy users that dynamically blends renewables, battery storage, and gas backup while ensuring EPA compliance. The platform would: 1) Deploy edge AI at substations to predict gas/renewable supply-demand gaps (e.g., 'Solar will drop 30% in 15 minutes—activate Chevron’s turbine'); 2) Integrate with PJM’s demand response APIs to auto-shed non-critical loads (e.g., 'EV charging stations: reduce power by 20%'); 3) Provide a 'Carbon Compliance Dashboard' with real-time Scope 1-3 emissions tracking (e.g., 'EPA violation risk: 3/10'); 4) Offer a 'Green Uptime SLA' for manufacturers (e.g., '99.9% uptime with <5% gas reliance').

Mid-market manufacturers (e.g., food processors, EV charging networks) and local governments cannot afford Tesla’s $500K/year 'Autobidder' platform to optimize energy blending (renewables + batteries + gas backup). Current solutions require manual Excel-based scheduling or rely on outdated SCADA systems, leading to 30% energy waste and $2B/year in fines for non-compliance with EPA’s 'Dynamic Blending Mandate' (effective 2027). Smaller players lack real-time carbon tracking, automated demand response, or grid integration tools.