The Battery Revenue Problem

Grid-scale battery storage is one of the fastest-growing segments of the clean energy transition, but operators face a complex and often opaque challenge: how to maximize revenue by trading energy across wholesale electricity markets. These markets operate on real-time and day-ahead pricing that shifts constantly based on grid demand, renewable generation, and regulatory signals. Without sophisticated forecasting tools, battery operators leave significant revenue on the table — a costly gap as projects scale into the hundreds of megawatts.

What They're Building

Dartboard Energy builds an AI-powered analyst platform purpose-built for grid-scale battery storage operators. The system ingests electricity market data — wholesale prices, grid signals, weather patterns, and demand forecasts — and produces actionable dispatch strategies that help operators optimize when to charge and when to discharge their batteries for maximum market revenue. Rather than relying on manual analysis or generic energy trading tools, Dartboard gives battery operators a dedicated intelligence layer that understands the unique constraints and opportunities of energy storage assets.

The company graduated from Y Combinator's Winter 2025 batch and raised $500K in pre-seed funding, enabling the team to deepen their market integrations and expand coverage across U.S. wholesale electricity markets including CAISO, ERCOT, and PJM.

Why Now

The grid-scale battery storage market is undergoing rapid expansion driven by falling hardware costs and policy incentives from the Inflation Reduction Act. As installed capacity grows, so does the need for intelligent market participation tools. Dartboard Energy is positioned at the intersection of the energy transition and AI, building the analytical infrastructure that battery operators need to compete effectively in increasingly sophisticated electricity markets.