Tech
Sam Altman-backed fusion startup Helion in talks to sell power to OpenAI
OpenAI CEO Sam Altman is stepping down as board chair of the Helion — the fusion startup he backs — amid reported talks between the two companies.
The deal, which was reported by Axios, is in early stages, and it could guarantee OpenAI 12.5% of Helion’s production — five gigawatts by 2030 and 50 gigawatts by 2035. OpenAI partner Microsoft signed a similar deal with Helion in 2023 to buy power starting in 2028.
If the figures in Axios’ report prove to be accurate, it suggests that Helion expects to be able to rapidly scale production of its fusion power plant. The startup has said that each of its reactors will generate 50 megawatts of electricity, meaning it will need to build and install 800 reactors by 2030 and an additional 7,200 by 2035.
Helion wouldn’t confirm if talks with OpenAI were underway. A spokesman told TechCrunch the company has not announced any new customer agreements beyond those it already has with Microsoft and Nucor. However, the company did confirm to TechCrunch that Altman is leaving the board chair of Helion, suggesting that the two companies may eventually work together.
“Sam is stepping down from Helion’s Board of Directors after more than a decade. This decision enables Helion and OpenAI to partner on future opportunities to bring zero-carbon, safe electricity to the world,” David Kirtley, co-founder and CEO of the company, told TechCrunch in statement. “We look forward to continuing to work with him in this new capacity.”
Helion is racing to build its first commercial-scale reactor by that time. If the startup is successful, it would place it years ahead of the competition, which is mostly targeting early 2030s for commercial operations.
The startup raised $425 million last year from investors, including Altman as well as firms Mithril, Lightspeed, and SoftBank.
Most fusion startups are pursuing one of two approaches — harvesting heat from the fusion reactions and using a steam turbine to turn it into electricity. Helion is taking a different tack, developing a reactor design that would use magnets to convert fusion energy into electricity.
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Inside the hourglass-shaped reactor, fusion fuel is first turned into plasma at either end and then shot toward each other using magnetic fields. When they collide in the middle, another set of magnets compresses the merged plasma ball until fusion occurs. The reaction pushes back on the magnets, which can convert that energy directly into electricity.
Helion is currently operating its Polaris prototype in advance of its push to commercial power. In February, the company generated plasmas inside the reactor that hit 150 million degrees Celsius, almost to the 200 million degrees Celsius the company thinks will be required for commercial operations.
Though Altman has stepped down from his position as chair of Helion’s board and reportedly recused himself from the discussions, his fingerprints are all over the matchmaking.
Last year, Altman stepped down as board chair of Oklo, a small modular nuclear reactor startup that had merged with his acquisition company, AltC. The move was intended to allow Oklo to explore strategic partnerships with leading AI companies, including potentially with OpenAI,” Caroline Cochran, Oklo’s co-founder and chief operating officer, said in a statement given to CNBC at the time.
Update 1:30 pm ET: Added confirmation from Helion regarding Altman stepping down as board chair.
Tech
Glean’s top line crosses $300M as AI budget cutting becomes its major selling point
Glean, a company often described as the Google for enterprise, said it has reached $300 million in annual recurring revenue (ARR), a three-fold increase from the $100 million milestone it reached just 15 months ago.
While many AI startups are growing at a blistering pace, Glean’s progress is particularly remarkable. After years of essentially being the only player in the category, the seven-year-old startup is accelerating its growth as tech giants enter the enterprise AI search market with rival products.
“The first four or five years of our existence, we had no competition,” Glean CEO Arvind Jain told TechCrunch. “Given how important search is to make AI work in the enterprise, every single company in the world wants to be in this space.”
Tech heavyweights building Glean-like tools include Google, Microsoft, OpenAI, Anthropic, Salesforce, and Atlassian.
Jain maintains there’s value in being a first mover in the space, but that it’s also equally important to offer a better product.
What Glean does better than its competition, according to Jain, comes down to the deep understanding that its AI tools have of customers’ business needs. Glean’s AI achieves this knowledge — a concept captured by the new, popular term “context graph” — by connecting to and learning from enterprises’ internal software systems.
Jain claims that Glean’s context graph also helps enterprises cut AI computing costs.
“If you connect your AI to Glean, it gives you all the information that you need to do your work, and that results in AI consuming far fewer tokens compared to if you unleash AI onto your systems directly,” Jain said. That’s because with Glean, AI ends up performing fewer operations, he added.
At a time when many companies are blowing through their AI budgets, those token cost savings have become a major selling point for the company.
“One of the things you know our customers really like about Glean is the fact that we can reduce your AI bill significantly,” he said.
The company, which was last valued at $7.2 billion when it raised a $150 million Series F last June, offers various pricing structures to its customers, which include Databricks, Reddit, Pinterest, and Samsung.
According to Jain, Glean offers both a consumption-based model, where clients pay per use, and a hybrid model that combines a fixed monthly fee for active users with separate usage fees for model consumption.
Glean is definitely not the first company to do this, but it’s worth pointing out that the company’s $300 million milestone cannot be fully described as traditional ARR, because a consumption model by definition doesn’t have a strictly recurring component.
Pure consumption pricing models depend on fluctuating user activity rather than predictable subscription renewals, therefore a portion of Glean’s top line is more accurately described as an annualized revenue run rate.
Glean did not immediately respond to a request for comment; this post will be updated if the company replies.
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Tech
Final 24 hours to save up to $410 on your TechCrunch Disrupt 2026 ticket
This is it. The countdown is almost over. You now have until tonight at 11:59 p.m. PT to lock in Early Bird savings of up to $410 for TechCrunch Disrupt 2026 before prices increase.
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Register now and join 10,000+ founders, investors, operators, and innovators at Moscone West in San Francisco from October 13–15 for three days packed with networking, startup discovery, and conversations shaping the future of tech. Bring a plus-one at 50%, or bring a group to get an up to 30% discount.
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Today is the last day to apply to speak at TechCrunch Disrupt 2026
TechCrunch Disrupt 2026 returns October 13–15 to Moscone West in San Francisco — and applications to speak are open for just a few more hours.
We’re inviting founders, investors, operators, and technology experts to apply for a chance to take the stage at one of the most influential tech events of the year.
More than 10,000 startup and VC leaders will gather at Disrupt 2026 to explore what’s next in AI, scaling, fintech, infrastructure, robotics, and the future of innovation.
Applications close tonight at 11:59 p.m. PT. Apply now to share your expertise and help shape the conversations defining the tech industry.
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