About ForgeOS
The power grid is undergoing its largest transformation since electrification. Hyperscalers are adding tens of gigawatts of AI training and inference load. Utilities are scrambling with 30-year-old SCADA systems, spreadsheets, and tribal knowledge. The gap is exponential and widening.
ForgeOS exists to close that gap. Not with another point solution — with a complete AI-native operating system through which every watt, every contract, every maintenance decision, and every regulatory obligation flows.
What We're Building
ForgeOS is a closed-loop, queryable AI operating system for utilities, independent power producers, and hyperscalers. We target mid-sized progressive operators with 800MW–3GW of data center exposure across the Iowa, Texas, Northern Virginia, and Arizona corridors.
Our system orchestrates economic dispatch, hyperscaler SLA compliance, predictive maintenance, PPA lifecycle management, ancillary service bidding, carbon accounting, and regulatory reporting — all through a central intelligence layer with narrow AI agents and mandatory human oversight on critical actions.
How We Operate
Less than 40 people at scale. A $600K–$1.2M/month API bill replaces 300+ traditional utility roles. Builder-Operator ICs, DRIs, and AI Founders who still write code every day.
Dashboards show you what happened. Closed loops fix it before you notice. Every ForgeOS workflow feeds back into itself — demand forecasts retrain hourly, asset health models update from every work order, SLA compliance triggers proactive capacity moves.
95%+ of decisions run autonomously. But safety-critical actions — generator dispatch changes, contract executions, regulatory filings — always require human approval. AI recommends, humans judge.
NERC CIP, IEC 62443, FedRAMP High, SOC 2 Type II — these aren't checkboxes we'll get to later. They're baked into every design decision from day one. Zero-trust, immutable audit logs, FIPS 140-3 encryption, signed artifacts.
We're onboarding design partners and looking for Builder-Operator ICs who want to define how the AI power grid runs. If that's you, get in touch.