The customer
Customer: Gridmatic
Industry: AI-enabled power company: battery energy storage, trading, retail
Portfolio: 300 MW / 800 MWh of battery energy storage under management across ERCOT and CAISO
Use cases: Performance benchmarking, competitive analysis, market research, new market entry
Gridmatic is a new kind of power company. Founded by former Google engineer Matt Wytock and powered by a foundational AI model for the grid, Gridmatic enables automated forecasting and risk management — predicting weather, renewable generation, electricity prices, and demand to optimize how energy is procured, stored, and delivered.
The company operates grid-scale batteries in Texas and California, with over 300 MW and 800 MWh of storage under management. It trades in every major US wholesale market and serves commercial and industrial retail customers in ERCOT and PJM.
The solution
The scoreboard
When Gridmatic discovered Modo Energy's benchmarking platform, the value was immediate. Instead of producing internal reports, Gridmatic could point to an independent leaderboard showing exactly where Gridmatic's batteries ranked against the fleet.
"We share the Modo Energy leaderboard with asset owners to show that the batteries we operate are in the top five out of a hundred," Alvarez says. "That's a much more powerful visual than sending someone a 40-page report we put together ourselves."
The independence is the point. Modo Energy pulls data directly from the ISOs and applies standardized revenue metrics. Every operator is measured the same way. For a company that stakes its reputation on operational results, having a neutral third party publish the numbers changed the dynamic in commercial conversations.
Modo Energy's coverage also raised the bar across the market. Rather than each optimizer defining its own version of "perfect," the industry now has a shared reference point. For Gridmatic, that is a competitive advantage, not a threat.
The playbook
For Austin Park, Modo Energy's value came from a different direction entirely. As lead developer of the CAISO storage bidder, Park needed more than raw market data. He needed clear, expert explanations of how CAISO actually works.
"Modo Energy gave the clearest and most concise interpretation of any particular policy topic," Park says. "It gave us orientation, a base of knowledge that helped us figure out what questions to ask next."
The specifics mattered. A Modo Energy article on CAISO's flex ramp product resolved a question that had hung over Park's work for months. The resource adequacy series explained how slice-of-day changes would affect battery economics. Both fed directly into the design of Gridmatic's automated scheduler.
One insight came through Modo Energy's competitive data in ERCOT. Park observed a shift in how some operators were bidding certain ancillary services, and used that signal to investigate further. He traced the behavior to a specific market rule and incorporated it into Gridmatic’s models. The added visibility helped validate and refine Gridmatic’s strategy in a rapidly evolving market.
"It would easily take three to four times as long to understand a particular topic without Modo Energy," Park says. "Sometimes there are things you don't even know to look for. Modo Energy takes you from an unknown unknown to something you can actually work with."
Going further
Gridmatic is expanding. The company has signed offtake agreements for additional battery capacity in both ERCOT and CAISO, and its retail business is growing rapidly across Texas and PJM. As it enters new storage markets, Modo Energy is the first resource the team reaches for.
"We read everything Modo Energy publishes on the markets we're looking at," Alvarez says. "Battery energy storage is a new and fast-moving space. A huge number of the assets being built are owned by first-time operators. Having high-quality, independent research is essential, and Modo Energy is doing that better than anyone."