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The startup told Heatmap exclusively that the funding will help it reach new markets in the U.S. and abroad.

By 2035, BloombergNEF projects that the U.S. will build an additional 221 gigawatts of battery storage, a more than 10-tenfold increase from July of last year. But as intermittent renewables, rising electricity demand, and extreme weather make grid operations increasingly complex, it can be a struggle for energy producers to manage their battery assets as efficiently and profitably as they could be — discharging when prices are highest and energy is needed most and charging when prices are lowest.
Tyba helps a range of companies — from oil major TotalEnergies to smaller, independent energy producers — optimize their battery storage systems. The startup’s AI-enabled platform provides timely, accurate price forecasts and automates energy dispatch decisions and bidding strategies to sell electricity into the market. The company just raised a $13.9 million Series A round, led by the climate tech investor Energize Capital, bringing its total funding to $18.5 million. Tyba currently supports over 1 gigawatt of batteries in California and Texas, but Baker told me this latest funding round will allow the company to expand into new markets domestically, and eventually internationally.
“When there’s a winter storm, or when there’s a plant that trips offline, prices can go up from, on average, $50 to $5,000, and so that massive spike drives a tremendous amount of revenue. In a single five-minute interval, we might earn up to 20% of the revenue for a year,” Tyba’s CEO and co-founder Michael Baker told me. “Our forecast strategies and also our bidding strategies are especially tuned to forecasting those events and making sure we’re in the market to sell power and capture that.”
Referring to data from Texas energy regulator ERCOT, Baker told me that top-performing battery assets there generated about 50% more revenue than average-performing assets, and that the batteries Tyba managed were consistently in the top tier. (California doesn’t release as much data, so he can’t be as precise, but Baker said “the uplift is comparable“ there.) Energy producers today generally work with less sophisticated, bespoke software solutions that are difficult to replicate, as they’re usually tailor-made to solve specific problems in specific markets. Especially in a political environment that’s unfriendly to renewables development in general, though, making battery storage systems the most profitable option for power producers is an obvious way to ensure they’re more widely deployed.
“These developers, they’re infrastructure companies. They’re not technology companies,” Tyler Lancaster, a partner at Energize Capital, explained. And they’ve had a hard time building software that can keep up with the ever-changing needs of the grid. “As a result, they’ve seen those assets and those batteries that they’ve deployed generate a lot less revenue than they thought.”
The Northeast and Mid-Atlantic regions are likely areas for growth due to their acute grid capacity needs, he said. Many of Tyba’s customers are working closely with data center developers as tech companies desperately seek out clean, reliable power to support their AI-driven load growth.
As for the impact of President Trump’s increased tariffs on Chinese imports or the potential elimination of Inflation Reduction Act incentives such as the investment and production tax credits, neither would be good news for the battery storage sector at large. “If we do have substantial tariffs and there is any impact on the tax credits, that will certainly slow down the pace of deployment and the growth of these technologies,” Baker told me. Tyba’s customers are gearing up. “They’re definitely preparing for the worst, including things like pre-purchasing equipment years in advance.”
The economics of battery storage have to be an undeniable winner to weather these headwinds, and Baker is confident that Tyba can help the sector continue its momentum over the next four years and beyond. As he told me, “The overall fundamentals of renewable energy are pretty undeniable.”
Editor’s note: This story has been updated to clarify the description of Tyba’s model.
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The spinoff of Lawrence Livermore National Lab has a new 10-point plan to get onto the grid by the 2030s.
One of fusion energy’s newest startups, Inertia Enterprises, is betting that the fastest route to commercial fusion runs through one of the field’s oldest ideas. The company, which raised a $450 million Series A earlier this year, plans to build a power plant based on the laser-driven fusion system pioneered at Lawrence Livermore National Laboratory’s — the only tech yet to have produced more energy from a fusion reaction than it took to initiate it. Now, Inertia has shared its commercialization roadmap exclusively with Heatmap, detailing the 10 near-term capabilities it must demonstrate before this landmark experiment can become a grid-scale power plant by the mid-2030s.
The roadmap offers a route from the national lab’s impressive but commercially impractical fusion demonstrations to an economical power plant capable of producing electricity for the grid. At its core are a set of milestones — mostly aimed at developing cheap, mass-manufacturable components — that Inertia says it must clear before those individual systems can be integrated into a working plant. This road is not necessarily linear, however, as various teams will likely be working on many of these goals simultaneously.
At least the physics of Inertia’s approach are already proven, the startup’s CEO Jeff Lawson told me, pointing to the fusion experiments at Lawrence Livermore’s National Ignition Facility as a proof-of-concept. The lab’s demonstration of net energy gain caps more than six decades and $30 billion (in 2026 dollars) of U.S. fusion research. The remaining challenges, he argued, are all engineering-related, requiring “elbow grease, hard work, and smart people” rather than breakthroughs in fusion science.
"It seems to us like a startup or a commercial company of any variety should be focused on commercializing a proven scientific result, as opposed to actually trying to demonstrate the basic science to begin with," Lawson told me. Basic science, he argues, is better left to national labs and universities, where researchers can pursue "unbounded problems" that don’t align with the expectations and timelines of venture-backed startups.
Indeed, no fusion startup has yet achieved scientific breakeven, the milestone Lawrence Livermore first hit in 2022, and has since repeated numerous times. But leading players such as Commonwealth Fusion Systems and Helion Energy maintain that it’s only a matter of time before they validate the physics behind their own reactor designs, which they claim will be highly cost-competitive.
Lawson, on the other hand, readily acknowledged that Lawrence Livermore’s tech is uneconomical in its current form. His bet is simply that the more predictable path to a commercial reactor is to drive down the cost of the lab’s validated fusion approach, known as inertial confinement. This system relies on high-powered lasers firing at a millimeter-scale pellet of fusion fuel, compressing it to extreme temperatures and pressures until the atoms fuse. Today, the National Ignition Facility makes each individual fusion target by hand, a workable solution given that it only uses about a dozen per year.
That production model, however, isn’t remotely plausible for a grid-scale power plant. Because each fusion reaction lasts just a fraction of a billionth of a second, a commercial facility must fire its lasers at a fresh target about 10 times per second to generate continuous electricity — requiring the production of hundreds of millions of targets each year.
Scaling production to roughly a million pellets per day and making them inexpensive enough for commercial operation without compromising the strength or precision required for fusion ignition is central to Inertia’s roadmap. That includes goals five, seven, eight and nine — industrializing the manufacturing of the carbon shells that hold the fusion fuel, making the thin films that hold those carbon shells both durable and cheap, scaling up and automating fusion target assembly, and speeding up how fast targets are filled with the requisite deuterium-tritium fuel.
The other central focus of the roadmap is the laser system, which will ultimately consist of 1,000 individual units operating in concert to compress and heat the fusion fuel. Key priorities include reducing the system’s cost (goal two), dramatically increasing its firing cadence (goal three), and bolstering its durability to withstand high-intensity operations (goal four). Goal six also complements these efforts, calling for the development of a control system capable of tracking moving fusion targets to precisely align each laser shot.
Goals one and 10 bookend the journey with some broader milestones. The first focuses on increasing the fusion target’s energy gain — the ratio of fusion energy produced to laser energy delivered — to more than 25 times ignition. Today, the National Ignition Facility’s best-performing laser shot has yielded a gain of just over four times what it took to start the reaction. Goal 10 then zooms out to the ultimate objective: integrating all these technologies into a commercially viable power plant that can deliver either electricity or industrial heat to end customers.
To reach that point, Inertia has embarked on an industrial engineering hiring spree, recruiting folks with experience taking complex hardware systems from prototype to mass production, “not unlike the processes that are used in the semiconductor or consumer electronics world,” Lawson explained. The company has been making progress on its component development goals since the beginning of the year, he told me, and expects to announce the successful demonstration of a few of these milestones in the coming months. Lawson ultimately expects Inertia to complete the core components of its laser and target manufacturing systems by the middle of next year.
The team will spend the next two to three years integrating these individual pieces into two fully operational subsystems, a prototype laser system and a target manufacturing line. Around 2030, the company will begin combining those subsystems into a first-of-a-kind fusion power plant, which will also serve as the proving ground for the target chamber, tritium fuel breeding system, and power conversion system that turns fusion heat into electricity. By the middle of the next decade, Inertia aims to be generating power from this first plant, setting the stage for the company to build and connect additional grid-scale commercial power plants.
There are plenty of engineering trade-offs that the company will have to solve for. Take the decision around how to size the target chamber, for example. “If you make it bigger, your walls have an easier time and survive longer, but it’s more expensive. If you make it smaller, your walls have a tougher time because they’re closer to all the heat and energy that the fusion reaction is creating, but now your power plant costs less to build.”
But to Lawson, this represents exactly the type of problem Inertia was built to solve: complex engineering issues that come to the fore once scientists have demonstrated the fundamental physics are sound. He thinks other fusion companies may someday reach this stage, as well — though he’s unwilling to hazard a guess on exactly what approach or startup is best positioned to do so.
“There have been generations of scientists who’ve made their predictions about fusion energy and gotten it wrong,” he told me. “I’m not going to pretend to be smarter than them. All I’m here to say is, just knowing that one did work, we can commercialize it.”