Price forecasting for the grid.

Long-term price forecasts are the single biggest variable in deciding whether a new battery, solar farm, or wind project will pencil out and earn back the hundreds of millions it costs to build. Today, developers, traders, and financiers making those multi-decade decisions on storage tolling agreements, renewable PPAs, and asset siting rely on single-point forecasts from legacy incumbents—black boxes that take months to update and ignore tail risk. Distill is the first probabilistic price forecasting platform built for long-term planning across power markets. It runs a full year of hourly nodal simulations in roughly five minutes, producing probability distributions across customer-defined scenarios for load growth, data center buildout, and resource mix. Distill is live in ERCOT today with active pilots across trading desks, PE firms, and developers, and is expanding to additional RTOs alongside its first paid customers.

By making uncertainty itself measurable, Distill lets investors and developers price risk into their decisions instead of guessing around it. With risk priced accurately, lower-cost capital can flow to the projects most likely to earn it back, and renewables and storage get built faster — in the right places and at the right scale. A more legible grid means a faster, cheaper energy transition. The founding team pairs deep power-forecasting expertise with decades of energy-software operating experience.