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Plus AI for powering AI, low-carbon concrete, and more of the week’s big money moves.

This week has already brought a plethora of funding announcements. As my colleague Alexander C. Kaufman highlighted in our AM newsletter, these include $421 million in debt financing for the geothermal unicorn Fervo and a deal between Uber and Rivian that could see the former investing over $1.2 billion in the electric vehicle automaker to support the deployment of up to 50,000 autonomous robotaxis through 2031.
But beyond these headline-grabbing numbers, this week also brings a major offtake agreement for the Massachusetts-based critical minerals startup Nth Cycle, coinciding with the Trump administration’s $500 million push for domestic refining and recycling. There’s also new money for an AI platform for energy data, lower-carbon concrete, and carbon sequestering textiles.
A wave of critical minerals startups has been gaining momentum in the U.S., buoyed by the Trump administration’s push to onshore production in the name of national security. One of those companies, Nth Cycle, recently signed a $1.1 billion, 10-year binding offtake agreement to supply nickel and lithium to global commodities trader Trafigura. The scale of this deal — Trafigura has committed to buying 2,000 metric tons of nickel and 1,500 metric tons of lithium carbonate — underscores the growing geopolitical attraction of breaking away from the Chinese-dominated battery minerals supply chain.
Nth Cycle recovers metals such as nickel, copper, and cobalt from “black mass” — a processed mixture of materials from spent lithium-ion batteries — by dissolving it in a liquid electrolyte and pumping it through an electrochemical cell. Individually-tuned voltages drive specific metal ions to gain electrons and deposit as solid metals onto the electrode’s surface. Unlike large-scale traditional metal refineries, the startup says its smaller, modular system can be deployed at existing partner sites like recycling facilities or scrap handling locations, reducing the cost of refining by up to 70%.
This deal will support the company’s expansion into South Carolina and the Netherlands, where operations are expected to start in 2028. Nth Cycle first started commercial operations a year and a half ago at a facility in Ohio capable of producing 900 metric tons annually of a mixed-metal material that contains nickel and cobalt.
“Speed to power” is the name of the game these days as companies — data centers in particular — need all the help they can get bringing new electricity sources online. Halcyon, which bills itself as “the AI platform for energy,” helps address this issue by helping energy professionals navigate and interpret vast volumes of information from regulatory findings to utility data, enabling more efficient and informed decisionmaking across energy markets and policy landscapes.
This week, the company announced a $21 million Series A round, led by the software-focused climate tech firm Energize Capital, to expand its platform’s capabilities, source even more data, and expand its team. The startup’s AI tool was built and trained on a deep catalogue of energy data from regulators including state public utility commissions, independent system operators, regional transmission organizations, and the Federal Energy Regulatory Commission, enabling users to query its sector-specific database as they would ChatGPT and track developments on particular questions.
“Despite representing as much as 10% of global GDP, multi-billion dollar energy investments are being made with opaque, incomplete, and fragmented information,” Bruce Falck, Halcyon’s co-founder and CEO, said in a company blog post about the new funding. “Halcyon makes complex and fragmented energy information discoverable, actionable, and valuable.” In addition to its main platform, the startup sells subscriptions to datasets such as its Gas Power Plant Tracker and New Substation Development Tracker, which can also inform data center citing decisions, for example.
The world produces roughly 30 billion metric tons of concrete annually, making it the most widely used man-made material on earth — and the source of about 8% of global CO2 emissions. That’s due to the energy-intensive production process of cement, the glue that holds the concrete mixture together. Now though, the London-based startup Cocoon Carbon promises to reduce the emissions intensity of concrete through the addition of industrial byproducts known as “supplementary cementitious materials,” raising a $15 million Series A to help scale production.
SCMs are nothing new — they’ve been a part of standard concrete mixes for decades due to their durability-enhancing properties. But today they’re largely sourced from the byproducts of coal plants and iron blast furnaces — technologies that are falling out of favor as natural gas and renewables scale and electric arc furnaces replace blast furnaces in the steel production process. That’s tightened the market for SCMs, causing prices to double since 2017, at the same time that construction is booming. To address this shortage, Cocoon has developed a rapid cooling system to convert steel slag residue from electric arc furnaces into a cement replacement that it says can reduce concrete emissions by up to 40%.
The startup says its ability to retrofit its system directly onto electric arc furnaces is crucial for cost-competitiveness, drawing a contrast with “other emerging alternatives to cement” — startups Brimstone and Sublime Systems come to mind — which it claims will carry the dreaded “green premium.” Cocoon is planning to use the new capital to build out its first commercial demonstration facility in the U.S., ultimately targeting deployment at 50 steel mills by 2035.
The fashion industry is slyly one of the world’s largest emitters, with textile production alone accounting for about 1.2 billion tons of annual carbon dioxide emissions — roughly equivalent to Germany, the U.K., and France’s annual emissions combined. But the materials company Rubi thinks it’s found a more sustainable approach to fashion, raising a $7.5 million seed round to support the production of textile fibers such as viscose and lyocell from captured carbon dioxide. The company has already piloted its process with partners such as Walmart, Reformation, and H&M, the latter of which also participated in this latest funding round.
To produce raw material for textiles, the company sources captured carbon from industrial flue gas and feeds it into its enzyme reactor, where a cascade of chemical reactions converts the CO2 into cellulose polymers. The resulting cellulose pulp is then recovered and supplied to Rubi’s partners, who spin it into fibers and yarns using existing textile manufacturing infrastructure. The startup’s approach differs from traditional fermentation and chemical methods, which rely on either microbes like yeast or fossil-derived feedstocks such as natural gas to produce polymers, systems the startup says are less efficient, more emissions intensive, and costlier than its own.
Rubi plans to use this latest funding to develop an industrial demonstration system capable of producing commercial quantities of its materials for its growing customer base, from which it’s already secured $60 million in non-binding offtake agreements. While clothing brands are Rubi’s first customers, the company plans to expand into other industries such as consumer packaged goods, aerospace, and chemicals.
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Plus three big announcements from the annual hullabaloo.
Now in its fourth year, San Francisco Climate Week is noticeably bigger and buzzier each time I go. When I first attended in 2024, everyone was trying to shoehorn generative artificial intelligence into climate solutions. Last year, founders and funders were struggling to figure out how to deploy capital and stay afloat after Trump took a hammer to Biden-era climate incentives.
This year — which reportedly saw double 2025’s attendance, with roughly 60,000 people choosing from more than 700 events — everyone was banking on the data center buildout, the speed-to-power race, and the broader effort to squeeze more capacity out of the existing grid to save climate tech. Given that the AI race is essentially keeping the U.S. economy afloat during a tumultuous year of tariffs, war, and ongoing energy price shocks, that doesn’t look like such a bad bet, at least for now.
But it wasn’t the only issue at play. Critical minerals were another hot topic, while conversations around adaptation and resilience are finally becoming a bigger part of the picture. I also moderated a surprisingly technical panel on distributed energy resources and virtual power plants, though that inevitably managed to touch on data centers and strategies for managing AI-driven load growth, too.
At Heatmap House, our day of conversations and roundtables with leading climate thinkers, one investor mentioned he had recently backed a lab-grown meat startup – a true contrarian investment if I’ve ever seen one. And my colleague Robinson Meyer hosted a fascinating pair of back-to-back conversations on a controversial geoengineering approach known as solar radiation management, which proposes using aerosolized chemicals to reflect sunlight away from Earth. He first spoke with the CEO of Stardust Solutions, a private company actively building this tech, followed by an advocate for research into solar engineering but certainly not near-term commercial deployment.
It’s impossible to capture the exact essence of a conference with hundreds of individual events — at some level, it’s always going to be what you make of it. But as I bopped around the city shaking hands, I picked up a range of interesting perspectives, along with three pieces of news that I thought were worth unpacking here — one related to funding for critical minerals, and two focused on bringing data centers online as quickly and cleanly as possible.
At a Climate Week event, Atana Elements CEO Thomas Wilson disclosed that the critical minerals exploration startup has quietly closed its seed round, which totals $27.5 million, according to an SEC filing. The round includes participation from Earthshot Ventures, as well as Lowercarbon Capital, and Hitachi Ventures. Last year Atana officially — but stealthily — spun out of Lilac Solutions, a startup developing a cleaner method of extracting lithium from saltwater brines.
But while Lilac is focused on commercializing its novel lithium extraction technology, Atana is tackling the broader upstream mineral discovery process. Its scope includes lithium, but extends to other so-called “flowing” critical minerals dissolved in brines, such as helium, hydrogen, and copper. In the years before the spinout, Atana compiled reams of historical geological datasets — think “Soviet-era oil and gas reports,” Wilson said. It used these to train predictive artificial intelligence models designed to identify previously overlooked mineral deposits.
“You can think of Atana as somewhat analogous to Kobald, but for flowing minerals such as lithium brines rather than hard rock resources,” said Matt Logan of Earthshot Ventures at the event, hosted by the nonprofit climate tech investor Elemental Impact. Kobald similarly uses AI for minerals discovery, and following a $537 million Series C round last year, is reportedly valued at nearly $3 billion.
Atana formed as a team within Lilac back in 2019, benefiting from the more mature startup’s relatively long and well-funded runway — Lilac has raised about $315 million to date. “We have found some of the biggest deposits in the world, and we’ve drilled 19 exploration wells across three continents,” Wilson said. “Around 2% to 3%of the world’s new minerals have been found by this particular team.” That’s a huge number for a startup that’s yet to even formally launch.
To date, Atana has identified a high-grade lithium brine resource in an Argentinean salt flat and secured 1.5 million acres across Germany and Poland, where it’s conducting exploration for lithium brine deposits. While lithium is likely to remain a core market, Wilson said he’s looking forward to broadening Atana’s ambition, asking “now that we’ve been released from the Lilac lithium play, what can we do in copper, helium, hydrogen, and where can we do that in other parts of the world?”
Data center-driven load growth, speed-to-power, and grid flexibility dominated the conversation at SF Climate Week, and the much-hyped data center management platform Emerald AI came prepared with a fitting announcement: It’s partnering with Silicon Valley Power, Santa Clara’s municipally owned utility, not only to demonstrate the benefits of flexible data centers for the grid, but to actually attempt to implement a program that expedites grid interconnection for data centers with flexible loads.
The latter objective differentiates this from Emerald AI’s earlier utility pilots, which were primarily technical demonstrations of its software — proving it can slow, pause, or reroute AI workloads during periods of peak demand without disrupting critical operations, which research shows could unlock nearly 100 gigawatts of grid capacity. This new pilot appears to go a step further by explicitly linking that flexibility to interconnection outcomes. As Emerald AI’s business development lead Daniel Padilla confirmed at a panel, data centers operating flexibly in Silicon Valley Power’s territory “will get material acceleration in time-to-power.”
Santa Clara, which sits about 45 miles south of San Francisco, is a major West Coast data center hub, with roughly 58 facilities packed into 19 square miles, according to Chris Karwick, Silicon Valley Power’s assistant director of utility operations, who spoke later at the same event. Karwick confirmed that the pilot with Emerald includes a “flexible load interconnection program,” and noted that while utilities broadly recognize the need for solutions to rising data center load growth, few are eager to be first movers. “We’re the electric utility for a city. We’re not known for being innovative — we’re usually followers. So this is big for us,” he explained.
Since emerging from stealth last summer, Emerald AI has already raised $67.5 million, and is now working with Nvidia to develop a 96-megawatt flexible data center facility in Virginia called Aurora, which Padilla said is expected to come online in October.
As Heatmap’s end-of-year survey revealed, experts widely consider Meta to be among of the worst hyperscalers when it comes to its climate impact and sustainability efforts. But the company nevertheless maintains a net-zero by 2030 target, even as it continues to bring plenty of new natural gas capacity online to power its AI expansion. Now, however, the company is throwing its weight behind a markedly greener — and less proven — technology, the ultra-long duration energy storage startup Noon Energy.
Meta announced this week that it has reserved 100 gigawatt-hours of storage capacity from Noon, which completed a successful demonstration of its 100-plus-hour carbon-oxygen battery earlier this year. Noon’s system charges by breaking down CO2 and discharges by recombining it using a technology known as a reversible solid-oxide fuel cell, and is certainly one of the earliest-stage data center power technologies that Meta has supported.
“There’s an urgency now that I don’t think existed before,” Carolyn Campbell, head of clean technology innovation at Meta said at a Climate Week panel, referring to the need to deploy emerging energy tech to meet the surge in data-center driven electricity demand. She added that Meta is evaluating how its procurement strategy can help commercialize early-stage climate tech — an area it so far hasn’t backed as extensively as its peers Google and Microsoft.
“When we sign a partnership agreement with a new company, does that help them with their next financing round because their investors see a different level of interest in the technology than they would have otherwise?” Campbell speculated. “Can we provide some upfront development capital to support a pilot that was maybe conceptual — going from concept to reality? So I think that’s one of the things that I’m really excited about with the Noon partnership.”
As I reported earlier this year, Noon CEO Chris Graves expects initial commercial deployments to begin as soon as next year, with early systems installed onsite to allow data centers or other large loads to draw power directly from Noon’s batteries rather than interconnecting to the grid itself. The startup’s collaboration with Meta will kick off with a 2.5-gigawatt-hour project, scheduled for completion by 2028.
Climate tech investors talk investing in moonshots at SF Climate Week.
Three climate investors walked onto a boat.
That’s not the start of a joke — it’s a description of a panel at Heatmap House, a day of conversations and roundtables with leading policymakers, executives, and investors at San Francisco Climate Week (at the Klamath, a venue made out of an old ship).
Heatmap’s Katie Brigham moderated the roundtable conversation with Prelude Ventures Managing Director Gabriel Kra, Azolla Ventures co-founder Matthew Nordan, and Toba Capital Partner Susan Su. Many of their investments are in moonshot climate technologies that other financial players might avoid.
“Things that look contrarian is kind of what we do,” said Kra. “Occasionally, there’s an idea that looks bad that’s actually a good idea.”
Prelude Ventures funds early-stage climate companies that are “weird, or non-consensus, or counter cyclical, or just ahead of the curve,” according to Kra.
Nordan, for instance, said he backs cultivated meat despite some doubts that the category will achieve widespread popularity.
“I’m presently leading an investment in a company called Pythag Technologies,” said Nordan, talking about the generative AI company focused on lab-grown meat. “It’s actually a really interesting time to invest counter-cyclically in a field like that.”
Like Nordan, Su described her firm as one that is open to unconventional choices.
“We are very weird in that we invest across lots of different categories and lots of different stages,” said Su.
One of her personal investments is in Xeno. “This company does electric motorbikes for commercial drivers, as well as swapping and energy networks in emerging markets, starting in East Africa,” she explained.
The panelists told Katie that opting for less popular investments can be rewarding because they may help fund a major breakthrough.
“We placed a couple of bets on fusion before this current melée occurred that sort of had everybody thinking that, you know, fusion was the next hot thing,” said Kra (who claimed that he intended the pun).
Nordan emphasized the gap that venture can fill, left by larger institutional investors who may shy away from high-risk technologies.
“If there are true breakthroughs out there that just may not be investable by mainstream finance at the earliest stages,” Nordan said, “not because people don’t think they’re really good ideas, but they may be crazy early-stage or kind of weird, or non-consensus, or counter-cyclical, or just ahead of the curve, it would be a real shame.”
Noise ordinances won’t necessarily stop a multi-resonant whine from permeating the area.
What did you do for Earth Day this year? I spent mine visiting a notoriously loud artificial intelligence campus in Virginia’s Data Center Alley. The experience brought home to me just how big a problem noise can be for the communities adjacent to these tech campuses – and how much further local officials have to go in learning how to deal with them.
The morning of April 22, I jumped into a Toyota Highlander and drove it out to the Vantage VA2 data center campus in Sterling, Virginia, smack dab in the middle of a large residential community. The sensation when I got out of the car was unignorable – imagine an all-encompassing, monotonous whoosh accompanied by a low rumble you can feel in your body. It sounds like a jet engine that never stops running or a household vacuum amplified to 11 running at all hours. It was rainy the day I visited and planes from nearby Dulles International Airport were soaring overhead, but neither sound could remotely eclipse the thudding, multi-resonant hum.
If you want to hear the sound for yourself, this video accurately sums it up.
After parking nearby I walked to one of the residential enclaves adjacent to VA2. One resident of a home across the street, who declined to give me her name, said she moved there before the project was completed. When asked how she felt about the noise, she told me, “It’s not as bad as it could be on the other side [of the data center], where all the equipment is.” (While the sound does get louder on the other side, I could clearly hear VA2 from her driveway.)
VA2’s noise has been causing problems for months, as documented by numerous social media posts, local news clips, and a feature published in Politico. It’s doubtful many of those living near the data center wanted it there. The project was built quite quickly – so quickly that Google Earth still shows undeveloped woodlands on the site. Per public filings, Vantage first proposed the facility in 2022 under the county’s fast-track commercial incentive program, an expedited permitting process for specific preferred industries. It was under construction as recently as October 2024, according to images captured by Google Street View.
Noise is one of the most common issues associated with data centers. At least a third of all conflicts over data centers are over noise complaints, and noise is the number one reason for opposition in cases where projects were ultimately canceled, according to Heatmap Pro data.
This issue goes back almost a decade. In 2019, residents of the Phoenix ex-urb Chandler, Arizona, became irate after a loud monotonous hmmmm began emanating from a CyrusOne data center. In that case, CyrusOne traced the noise back to chilling fans, and the company reduced the sound with muffling devices.
Chandler wound up adopting a new ordinance in 2023 requiring sound mitigation measures to prevent companies from exceeding certain ambient noise levels in the surrounding areas. That did nothing to improve the mood of the people who live there, however. Now Chandler, once known as a potential data center development hub, is now firmly in the anti- camp. The city council unanimously rejected a proposed $2.5 billion data center campus in December over noise concerns, despite an expensive lobbying push backed by former Arizona Senator Kyrsten Sinema.
As data centers spread across the U.S., noise is becoming an ever-more-common complaint. You can hear the familiar hum at a DataOne data center project in Vineland, New Jersey. DataOne told us they “understand concerns about ambient noise in the area” and are operating within the limits of local noise ordinances.
The hum is also in Dowegiac, Michigan, where people living nearby are calling their new Hyperscale Data facility a “noise trap,” with little explanation to date for the issue. Hyperscale Data did not respond to a request for comment.
And the hum is in Mount Pleasant, Wisconsin, where the sound from a new Microsoft data center campus rises above any din from rain. The hyperscaling giant is doing more to mitigate the issue than I’m used to seeing from data center developers, however.
On April 15, the company published an update on its own internal investigations into noise complaints. “Although the facility noise levels meet the requirements set by local ordinance, we take this feedback seriously and understand the impact this has had on our neighbors,” the update read. “We anticipated that our systems would need adjustments and create some noise as part of the datacenter startup, but we did not expect the tonal quality of the sound to travel as far as it has.”
To address the noise, Microsoft said it was “manually adjusting the cooling fans” to reduce noise, and that “we expect this change to address community concerns about the tonal humming.” On top of that, the company said it will install “additional sound reduction components” to “provide even further reductions in measured sound levels.” A Microsoft spokesperson told me in an email: “We’ve identified the source of the noise concerns and have implemented changes to significantly reduce sound from our facility.”
It isn’t cooling fans causing the noise at Vantage’s VA2 in Virginia, however. The sound, according to media reports, is coming from gas turbines powering the data center.
VA2 is one of the first in Virginia to function entirely off-grid, a design companies are adopting in order to avoid lengthy grid connection processes. Company spokesman Mark Freeman told me the facility is “fully compliant with all local noise ordinances, and this has been verified by third-party sound studies.”
“Additionally, in line with our commitment, we are actively working with third-party engineers to explore additional sound mitigation options,” Freeman continued. Freeman said “Our goal is to further reduce noise levels where possible and continue to foster a positive environment for everyone.”
Here’s the thing, though: I visited the Vantage campus after initially hearing from the company, and it was loud. Very loud.
I did not bring a decibel meter with me, so I cannot know whether they were operating within legal limits that day. What I do know is that noise ordinances struggle to properly capture sounds in multiple frequency ranges, making high and low frequencies challenging to regulate, according to the Environmental and Energy Study Institute, a bipartisan non-profit think tank. Officials representing Loudon County, where VA2 is located, have acknowledged that the local ordinance may need to change in order to address the most distressing frequencies from the data center campus.
“We can change the zoning ordinance and noise ordinance,” Loudon County supervisor Mike Turner told local TV station WUSA9 last week. “Noise can be mitigated. I just don’t believe that the noise problem cannot be solved.”
I wrote Freeman, the Vantage spokesman, to tell him I had visited the VA2 campus and found the noise to be “quite foul.” He replied soon after, telling me that Vantage is going “above and beyond what is required in order to address concerns from nearby residents.” The company is using “targeted enhancements to turbine-related equipment such as dampening equipment, enclosure inlets and enclosure exhausts.” These measures “represent meaningful progress and will help us better evaluate the effectiveness of the broader solutions under consideration.” Freeman also said the company is “actively assessing additional options” focused on “targeted frequency ranges.”
As we continue to track local regulation of data centers, I’m we’ll see many more cases like VA2, in which obtrusive sound prompts forms of regulation we may have never seen before.
Or, people will just hear these noises and say no to more data centers.