At its core, Gridmatic uses machine learning algorithms to predict supply, demand, and pricing in electricity markets, enabling better optimisation of energy assets. For storage systems, the company offers services that aim to boost revenue by accurately timing participation in markets and reducing risk. Back‑testing in the Texas Electric Reliability Council of Texas (ERCOT) market showed that Gridmatic’s AI‑driven management could increase battery revenue by up to 46%.
In addition to engineering asset performance, Gridmatic provides retail energy solutions for commercial and industrial users. Through its retail arm, the company offers tailored contracts designed to reduce energy costs, source carbon‑free energy, and manage variable loads. A recent expansion into the PJM Interconnection market in Ohio illustrates its growth into major U.S. regional transmission organisations.
One of Gridmatic’s distinguishing features is its creation of an energy storage fund aimed at managing battery capacity on behalf of investors. The fund is intended to de‑risk the operational phase of projects by offering multi‑year offtake contracts along with AI‑enabled asset optimisation. This structure allows storage developers to unlock capital and focus on development while Gridmatic handles market operations.
In summary, Gridmatic combines artificial intelligence, market expertise, and innovative financing to optimise energy storage, support renewable adoption, and deliver value to both investors and energy consumers.
