Tem just closed a $75 million funding round to bring AI-powered automation to electricity markets, a sector still running on decades-old infrastructure. Lightspeed Venture Partners led the Series B, with participation from Atomico, AlbionVC, Revent, Hitachi Ventures, Voyager Ventures, and Schroders Capital. The London-based startup plans to use the capital to expand into the U.S. and Australian markets, where aging grid infrastructure and renewable energy integration are creating massive opportunities for software-driven optimization.
Tem is betting that electricity markets are ripe for an AI revolution. The startup just secured $75 million to prove it, with Lightspeed Venture Partners leading a Series B that values the company's vision of replacing manual grid operations with intelligent automation.
The London-based company has built what it calls a transaction engine - software that uses AI to handle the complex, high-frequency trading decisions that keep power grids balanced. Right now, much of this work still relies on human traders and legacy systems that can't keep pace with the rapid changes happening across energy markets. As renewable sources like solar and wind create more volatility, and as distributed energy resources multiply, the old ways of managing electricity flows are breaking down.
"Electricity markets are some of the most complex financial systems in the world, but they're still operating on infrastructure built for a different era," the company explained in materials shared with investors. Tem's platform aims to change that by automating the bidding, forecasting, and transaction execution that currently requires teams of specialized traders.
The $75 million round attracted a diverse group of backers. Alongside lead investor Lightspeed, the round included Atomico, AlbionVC, Revent, Hitachi Ventures, Voyager Ventures, and Schroders Capital. That mix of traditional venture firms and corporate investors signals both the startup potential and the enterprise-grade credibility Tem has built.
The timing couldn't be better. U.S. electricity markets are undergoing their biggest transformation in decades, driven by aging infrastructure, climate goals, and the explosive growth of data centers and AI computing facilities. Grid operators are scrambling to balance supply and demand in real-time as renewable energy makes up a growing share of the mix. That complexity creates both challenges and opportunities for software that can optimize trading strategies faster than humans can.
Tem's expansion into the U.S. market puts it on a collision course with entrenched energy trading platforms and legacy grid management software. But the startup is betting that its AI-native approach will win over utilities, independent power producers, and renewable energy developers who need better tools to navigate increasingly dynamic markets.
Australia represents another strategic target. The country has one of the highest rates of rooftop solar adoption in the world, creating a distributed energy landscape that's particularly difficult to manage with traditional systems. Australian grid operators have been vocal about needing better software to handle the coordination challenges that come with millions of small-scale energy producers.
The funding follows a broader trend of climate tech investors pouring money into software-driven solutions for energy infrastructure. Unlike hardware-heavy climate startups that require massive capital to scale, companies like Tem can grow quickly by selling software subscriptions to existing market participants. That business model appeals to VCs looking for venture-scale returns in the climate space.
For Lightspeed, the investment represents a bet that AI will transform not just consumer applications but also the critical infrastructure that powers the economy. The firm has been actively investing in enterprise AI companies that tackle complex operational challenges in traditional industries.
Tem isn't disclosing specific revenue figures or customer counts, but the size of the round suggests the company has demonstrated meaningful traction in its home market. Electricity trading platforms typically charge either transaction fees or subscription fees based on the volume of energy traded through their systems, creating a business model that scales with market participation.
The competitive landscape includes both established energy trading software vendors and newer AI-focused startups targeting different parts of the grid optimization stack. But Tem's focus on the transaction layer - the actual execution of trades in wholesale electricity markets - gives it a specific niche within the broader energy software ecosystem.
As grid operators worldwide grapple with the dual challenges of decarbonization and reliability, AI-powered tools for managing electricity markets are becoming infrastructure rather than nice-to-haves. The question isn't whether these markets will modernize, but which software platforms will end up running them.
Tem's $75 million raise signals that investors see electricity markets as the next frontier for AI transformation. As grids worldwide struggle to balance renewable energy, aging infrastructure, and surging demand from data centers, software that can automate complex trading decisions becomes critical infrastructure. The company's expansion into the U.S. and Australia will test whether its AI-powered transaction engine can displace entrenched systems and win over utilities that have been slow to embrace new technology. For an industry still running on decades-old processes, the answer could reshape how electricity flows across continents.
