The grid crisis is real, and companies are facing strict mandates to optimize power. The problem is that old industrial assets (HVAC, heavy machinery, batteries) use outdated protocols and don't talk to the modern internet. You can't easily automate them to save power or trade energy. ​We build the invisible software and API layer to fix this. By plugging low-cost gateways into these assets, we translate old industrial code into modern web code. ​Once connected, our AI automatically orchestrates the machinery based on weather and occupancy to cut bills by 20–30%. Even better, during a grid crisis, our software automatically drops the factory's power draw, earning them premium payouts from utility companies for stabilizing the grid. ​We don't buy heavy hardware or real estate. We are an asset-light software utility taking a transaction fee on every unit of power optimized. ​Are hardware integration nightmares going to kill our scalability, or is a software-only VPP (Virtual Power Plant) the right move? Tell us why this will fail.

Automate the delivery of gigawatts. Every process that takes AI infrastructure from land to live compute becomes software: schedules, decisions, and todos generated from a live knowledge graph instead of chased by hand. Forward-deploy beside the experts. Product teams sit with quality managers, sourcing leads, and deployment engineers on factory floors and sites, and turn their judgment into systems that reach every unit.

We're building a software-native power plant and an automated trading desk. The power plant dispatches thousands of batteries across commercial buildings in real time. We tap into renewable supply and controllable battery capacity to lower what customers pay, while unlocking grid revenue streams that aren't available through their utility. The trading desk will buy wholesale electricity, manage hedges, and execute capacity and energy trades automatically. These two systems are the core of David Energy's business.