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This fusion startup is ahead of schedule.

Thea Energy, one of the newer entrants into the red-hot fusion energy space, raised $20 million last year as investors took a bet on the physics behind the company’s novel approach to creating magnetic fields. Today, in a paper being submitted for peer review, Thea announced that its theoretical science actually works in the real world. The company’s CEO, Brian Berzin, told me that Thea achieved this milestone “quicker and for less capital than we thought,” something that’s rare in an industry long-mocked for perpetually being 30 years away.
Thea is building a stellarator fusion reactor, which typically looks like a twisted version of the more common donut-shaped tokamak. But as Berzin explained to me, Thea’s stellarator is designed to be simpler to manufacture than the industry standard. “We don’t like high tech stuff,” Berzin told me — a statement that sounds equally anathema to industry norms as the idea of a fusion project running ahead of schedule. “We like stuff that can be stamped and forged and have simple manufacturing processes.”
The company thinks it can achieve simplicity via its artificial intelligence software, which controls the reactor’s magnetic field keeping the unruly plasma at the heart of the fusion reaction confined and stabilized. Unlike typical stellarators, which rely on the ultra-precise manufacturing and installment of dozens of huge, twisted magnets, Thea’s design uses exactly 450 smaller, simpler planar magnets, arranged in the more familiar donut-shaped configuration. These magnets are still able to generate a helical magnetic field — thought to keep the plasma better stabilized than a tokamak — because each magnet is individually controlled via the company’s software, just like “the array of pixels in your computer screen,” Berzin told me.
“We’re able to utilize the control system that we built and very specifically modulate and control each magnet slightly differently,” Berzin explained, allowing Thea to “make those really complicated, really precise magnetic fields that you need for a stellarator, but with simple hardware.”
This should make manufacturing a whole lot easier and cheaper, Berzin told me. If one of Thea’s magnets is mounted somewhat imperfectly, or wear and tear of the power plant slightly shifts its location or degrades its performance over time, Thea’s AI system can automatically compensate. “It then can just tune that magnet slightly differently — it turns that magnet down, it turns the one next to it up, and the magnetic field stays perfect,” Berzin explained. As he told me, a system that relies on hardware precision is generally much more expensive than a system that depends on well-designed software. The idea is that Thea’s magnets can thus be mass manufactured in a way that’s conducive to “a business versus a science project.”
In 2023, Thea published a technical report proving out the physics behind its so-called “planar coil stellarator,” which allowed the company to raise its $20 million Series A last year, led by the climate tech firm Prelude Ventures. To validate the hardware behind its initial concept, Thea built a 3x3 array of magnets, representative of one section of its overall “donut” shaped reactor. This array was then integrated with Thea’s software and brought online towards the end of last year.
The results that Thea announced today were obtained during testing last month, and prove that the company can create and precisely control the complex magnetic field shapes necessary for fusion power. These results will allow the company to raise a Series B in the “next couple of years,” Berzin said. During this time, Thea will be working to scale up manufacturing such that it can progress from making one or two magnets per week to making multiple per day at its New Jersey-based facility.
The company’s engineers are also planning to stress test their AI software, such that it can adapt to a range of issues that could arise after decades of fusion power plant operation. “So we’re going to start breaking hardware in this device over the next month or two,” Berzin told me. “We’re purposely going to mismount a magnet by a centimeter, put it back in and not tell the control system what we did. And then we’re going to purposely short out some of the magnetic coils.” If the system can create a strong, stable magnetic field anyway, this will serve as further proof of concept for Thea’s software-oriented approach to a simplified reactor design.
The company is still years away from producing actual fusion power though. Like many others in the space, Thea hopes to bring fusion electrons to the grid sometime in the 2030s. Maybe this simple hardware, advanced software approach is what will finally do the trick.
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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.”