Metris Energy Raises $5M Seed to Scale AI-Powered Solar Asset Management

By Nazish Shah • Wed Sep 23 2026

London-based energy technology company Metris Energy has raised $5 million in seed funding to expand its AI-native platform for managing renewable energy assets.

The round was led by Berlin-based PT1, with participation from returning investors Octopus Ventures and AENU, alongside Blackfinch Ventures, Plug and Play and Love Ventures. The latest funding brings Metris Energy’s total capital raised to $7.5 million since its founding in 2023.

Metris plans to use the new funding to further develop Metria, its AI operations agent, while expanding beyond solar into wind and combined heat and power (CHP). The company also plans to accelerate its European expansion, with Germany identified as its first new market.

“The winners of the energy transition won’t be the owners of the most kW of capacity, but those who can view, control and monetise them best,” said Natasha Jones, Founder and CEO of Metris Energy.

The company’s platform brings together data from inverters, meters, SCADA systems, CRM and billing tools into a unified view of renewable energy assets. Its AI-powered Metria platform can identify faults, flag underperformance and draft work orders, with human approval remaining part of the process.

According to Metris Energy, its technology now manages more than 10,000 solar plants representing 500MW of capacity, while revenue has grown eightfold year-on-year. The company currently has a team of around 15 people.

Founded by Natasha Jones and William Whatley, Metris is targeting one of the increasingly important challenges in the renewable energy sector: managing and optimising the growing number of distributed energy assets already in operation.

As Europe continues to expand its renewable generation capacity, technologies that can improve asset performance, maintenance, data visibility and revenue optimisation are becoming increasingly important to the energy transition.

With its new funding, Metris Energy is positioning AI not simply as an analytical tool, but as an operational layer for the renewable energy infrastructure of the future.