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Agriculture startups are suddenly some of the hottest bets in climate tech, according to the results of our Insiders Survey.

Innovations in agriculture can seem like the neglected stepchild of the climate tech world. While food and agriculture account for about a quarter of global emissions, there’s not a lot of investment in the space — or splashy breakthroughs to make the industry seem that investible in the first place. In transportation and energy, “there is a Tesla, there is an EnPhase,” Cooper Rinzler, a partner at Breakthrough Energy Ventures, told me. “Whereas in ag tech, tell me when the last IPO that was exciting was?”
That may be changing, however. Multiple participants in Heatmap’s Insiders Survey cited ag tech companies Pivot Bio and Nitricity — both of which are pursuing alternate approaches to conventional ammonia-based fertilizers — as among the most exciting climate tech companies working today.
Studies estimate that fertilizer production and use alone account for roughly 5% of global emissions. That includes emissions from the energy-intensive Haber–Bosch process, which synthesizes ammonia by combining nitrogen from the air with hydrogen at extremely high temperatures, as well as nitrous oxide released from the soil after fertilizer is applied. N2O is about 265 times more potent than carbon dioxide over a 100-year timeframe and accounts for roughly 70% of fertilizer-related emissions, as soil microbes convert excess nitrogen that crops can’t immediately absorb into nitrous oxide.
“If we don’t solve nitrous oxide, it on its own is enough of a radiative force that we can’t meet all of our goals,” Rinzler said, referring to global climate targets at large.
Enter what some consider one of the most promising agricultural innovations, perhaps since the invention of the Haber–Bosch process itself over a century ago — Pivot Bio. This startup, founded 15 years ago, engineers soil microbes to convert about 400 times more atmospheric nitrogen into ammonia than non-engineered microbe strains naturally would. “They are mini Haber–Bosch facilities, for all intents and purposes,” Pivot Bio’s CEO Chris Abbott told me, referring to the engineered microbes themselves.
The startup has now raised over $600 million in total funding and is valued at over $2 billion. And after toiling in the ag tech trenches for a decade and a half, this will be the first full year the company’s biological fertilizers — which are applied to either the soil or seed itself — will undercut the price of traditional fertilizers.
“Farmers pay 20% to 25% less for nitrogen from our product than they do for synthetic nitrogen,” Abbott told me. “Prices [for traditional fertilizers] are going up again this spring, like they did last year. So that gap is actually widening, not shrinking.”
Peer reviewed studies also show that Pivot’s treatments boost yields for corn — its flagship crop — while preliminary data indicates that the same is true forcotton, which Pivot expanded into last year. The company also makes fertilizers for wheat, sorghum, and other small grains.
Pivot is now selling these products in stores where farmers already pick up seeds and crop treatments, rather than solely through its independent network of sales representatives, making the microbes more likely to become the default option for growers. But they won’t completely replace traditional fertilizer anytime soon, as Pivot’s treatments can still meet only about 20% to 25% of a large-scale crop’s nitrogen demand, especially during the early stages of plant growth, though it’s developing products that could push that number to 50% or higher, Abbott told me.
All this could have an astronomical environmental impact if deployed successfully at scale. “From a water perspective, we use about 1/1000th the water to produce the same amount of nitrogen,” Abbott said. From an emissions perspective, replacing a ton of synthetic nitrogen fertilizer with Pivot Bio’s product prevents the equivalent of around 11 tons of carbon dioxide from entering the atmosphere. Given the quantity of Pivot’s fertilizer that has been deployed since 2022, Abbott estimates that scales to approximately 1.5 million tons of cumulative avoided CO2 equivalent.
“It’s one of the very few cases that I’ve ever come across in climate tech where you have this giant existing commodity market that’s worth more than $100 billion and you’ve found a solution that offers a cheaper product that is also higher value,” Rinzler told me. BEV led the company’s Series B round back in 2018, and has participated in its two subsequent rounds as well.
Meanwhile, Nitricity — a startup spun out of Stanford University in 2018 — is also aiming to circumvent the Haber–Bosch process and replace ammonia-based and organic animal-based fertilizers such as manure with a plant-based mixture made from air, water, almond shells, and renewable energy. The company said that its proprietary process converts nitrogen and other essential nutrients derived from combusted almond shells into nitrate — the form of nitrogen that plants can absorb. It then “brews” that into an organic liquid fertilizer that Nitricity’s CEO, Nico Pinkowski, describes as looking like a “rich rooibos tea,” capable of being applied to crops through standard irrigation systems.
For confidentiality reasons, the company was unable to provide more precise technical details regarding how it sources and converts sufficient nitrogen into a usable form via only air, water, and almond shells, given that shells don’t contain much nitrogen, and turning atmospheric nitrogen into a plant-ready form typically involves the dreaded Haber–Bosch process.
But investors have bought in, and the company is currently in the midst of construction on its first commercial-scale fertilizer factory in Central California, which is expected to begin production this year. Funding for the first-of-a-kind plant came from Trellis Climate and Elemental Impact, both of which direct philanthropic capital toward early-stage, capital-intensive climate projects. The facility will operate on 100% renewable power through a utility-run program that allows customers to opt into renewable-only electricity by purchasing renewable energy certificates,
Pinkowski told me the new plant will represent a 100‑fold increase in Nitricity’s production capacity, which currently sits at 80 tons per year from its pilot plant. “In comparison to premium conventional fertilizers, we see about a 10x reduction in emissions,” Pinkowski told me, factoring in greenhouse gases from both production and on-field use. “In comparison to the most standard organic fertilizers, we see about a 5x reduction in emissions.”
The company says trial data indicates that its fertilizer allows for more efficient nitrogen uptake, thus lowering nitrous oxide emissions and allowing farmers to cut costs by simply applying less product. According to Pinkowski, Nitricity’s current prices are at parity or slightly lower than most liquid organic fertilizers on the market. And that has farmers really excited — the new plant’s entire output is already sold through 2028.
“Being able to mitigate emissions certainly helps, but it’s not what closes the deal,” he told me. “It’s kind of like the icing on the cake.”
Initially, the startup is targeting the premium organic and sustainable agriculture market, setting it apart from Pivot Bio’s focus on large commodity staple crops. “You saw with the electrification of vehicles, there was a high value beachhead product, which was a sports car,” Pinkowski told me. “In the ag space, that opportunity is organics.”
But while big-name backers have lined up behind Pivot and Nitricity, the broader ag tech sector hasn’t been as fortunate in its friends, with funding and successful scale-up slowing for many companies working in areas such as automation, indoor farming, agricultural methane mitigation, and lab-grown meat.
Everyone’s got their theories for why this could be, with Lara Pierpoint of Trellis telling me that part of the issue is “the way the federal government is structured around this work.” The Department of Agriculture allocates relatively few resources to technological innovation compared to the Department of Energy, which in turn does little to support agricultural work outside of its energy-specific mandate. That ends up meaning that, as Pierpoint put it, ”this set of activities sort of falls through the cracks” of the government funding options, leaving agricultural communities and companies alike struggling to find federal programs and grant opportunities.
“There’s also a mismatch between farmers and the culture of farming and agriculture in the United States, and just even geographically where the innovation ecosystems are,” Emily Lewis O’Brien, a principal at Trellis who led the team’s investment in Nitricity, told me of the social and regional divides between entrepreneurs, tech investors and rural growers. “Bridging that gap has been a little bit tricky.”
Still, investors remain optimistic that one big win will help kick the money machines into motion, and with Pivot Bio and Nitricity, there are finally some real contenders poised to transform the sector. “We’re going to wake up one day and someone’s going to go, holy shit, that was fast,” Abbott told me. “And it’s like, well you should have been here for the decade of hard work before. It’s always fast at the end.”
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The data center boom is everywhere you look in U.S. economic and emissions data.
This is an edition of Heatmap Daily, an evening review of the day’s news written by our executive editor. Sign up for it here.
It isn’t exactly a new thought, but I’ve been struck recently by how many trends in America’s economic and environmental data are fundamentally about the data center boom and the return of electricity demand:
First, the Energy Information Administration reported this week that U.S. emissions grew by more than 2% last year, driven by surging electricity demand and an increase in coal-fired generation.What caused that higher power demand? New factories and data centers — as well as record summertime cooling demand.
Second, many of the new factories driving that higher power demand are themselves producing goods that are … let’s say … data center-adjacent. There are the enormous new semiconductor fabs, of course. But Ford and General Motors have also set up new production lines (or repurposed old ones) to manufacture grid-scale batteries to meet power demand.
Third, take a look at the recent U.S. spending on private non-residential construction — in other words, everything American companies are building that is not houses, condos, or apartments.
The construction industry’s spent almost $60 billion on data centers over the past year, which is more than it spent on all other office buildings combined (and more than it spent building warehouses, too). Just a handful of categories — data centers, power plants, electricity infrastructure, and certain kinds of electronics manufacturing — now make up a third of all U.S. private non-residential construction investment. They’ve never made up such a large share of construction spending since data collection began in 2014.
As The New York Times recently noted, the American economy is unusually dependent on the American stock market right now — and the stock market is unusually dependent on artificial intelligence. This week, investors started to balk at the enormous spending hyperscalers are planning to keep building out the AI boom; Alphabet’s shares dropped 8% this week after it boosted its planned 2026 capital expenditure and signaled 2027 will be even bigger. If the data center boom started to slow down in earnest, then more than just that budget will change.
Speaking of which, my colleague Emily Pontecorvo wrote earlier this week about how many businesses are struggling to even estimate their carbon emissions from artificial intelligence. The carbon accounting startup Watershed recently unveiled a new formula to help companies get a sense of their AI-related emissions.
But even that formula is still limited by the amount of data hyperscalers publish — and they don’t publish that much. Google, for instance, is the only AI company that has (laudably) provided estimates of its emissions on a per-prompt basis. Yet no company has published its per-token emissions, or how emissions sync up with particular models or regions.
So Emily asked Google: Why aren’t you — or any other model provider — disclosing this kind of data yet?
The tech company didn’t get back to us until after we’d published Emily’s story. But its response was interesting enough that I wanted to quote some of it here.
The problem is “industry consensus,” Cooper Elsworth, a Google spokesperson, told us. “There is currently very little consensus on how to comprehensively and fairly measure the serving environmental impact of generative AI (such as text generation),” he wrote. “Without standardized, ‘apples-to-apples’ frameworks, it is difficult to compare different providers accurately.”
That’s partly because energy use — and emissions data — can vary from site to site and depend on “custom-built hardware, software compilers, and advanced inference techniques.” And he claimed Google doesn’t always have the measurement hardware in place to provide such specific estimates: “Providing precise, repeatable data requires highly advanced measurement infrastructure,” he said. “For example, software-based energy monitoring tools often suffer from sampling biases. For our study, we had to step away from top-down averages and directly measure actual energy at the physical power supply unit (PSU) level across our deployed fleet. Not all providers have the telemetry or data sets required to benchmark their operations at this level of granularity.”
Read Emily’s story to understand the other reasons why estimating — or even “guesstimating” — AI-related carbon emissions is so challenging.
A conversation with Emma Uridge of the Kansas Health Institute.
This week’s conversation is with Emma Uridge, analyst with the Kansas Health Institute. Uridge spent copious hours analyzing state and local laws on data center development to best understand how policymakers are responding to the potential environmental public health impacts of large AI infrastructure, including power and water. The report, which came out this week, also goes in depth into those health impacts. I reached out to her to discuss what she sees as must-watch territory for our readers on this emerging policy arena.
Our conversation was lightly edited for clarity.
What is actually being done on policy when it comes to data centers — beyond moratoria of course?
So first I’d like to just talk about the point of moratoria. It’s helpful to talk about how these policies emerge in the first place. One area where moratoria are helpful is when a data center is proposed but the county has no approach for how they’d like to potentially regulate them. That’s temporary, most of the time. It lets local governments conduct research on the various impacts and also negotiate community benefits, ones that can mitigate any potential negative impacts — like Lancaster Pennsylvania, which instituted a community benefit agreement that maximized the potential benefits of development while mitigating what large data centers can do. That agreement looked at capping municipal water use at 20,000 gallons per day and requiring 100% clean energy. It had financial penalties for non-compliance. The company also committed $20 million to their local economic development and clean energy fund. There are ways to negotiate with developers.
We also see amendments to existing zoning. Data center proposals are increasingly popping up in rural areas, many of which are unzoned, so there’s no way a county can negotiate unless there’s a moratorium in place.
Other policy solutions include different performance standards or requiring on-site renewable energy, like what Jefferson County, Missouri, looked at. Also setback requirements, mandatory noise buffers, ending by-right zoning.
Where are local governments getting ideas for regulating data centers?
A lot of the technical information comes from developers. That can in cases be seen as a biased source of information. I wouldn’t say there’s a dedicated group providing assistance to local governments when a project is proposed — which is a similar story to wind industry development, where we have only a handful of consultants who provide technical advice. It can be really helpful to get a multi-disciplinary approach to hearing information. It can be helpful to have the utility commission, public health folks, those in academia, as well as the developer.
As of right now, especially in rural areas, local governments have a hard task of balancing pushback while getting the most accurate, evidence-based, neutral information to make decisions. That balance can be contentious.
What is the federal government doing on data center policy? How is the Trump administration approaching it?
A few things there. In the early days, the drive was for AI expansion and to be competitive with foreign adversaries. Now due to the amount of public pushback in red and blue localities and a more cautious approach.
I’m not seeing a lot of actual policy movement at this time.
I know the EPA is looking at the chemicals used in cooling data centers because when that water is cycled through the system, some of it is discharged into the water system, so they’re looking at the Toxic Substances and Control Act for monitoring that.
How much of an impact does this minimal federal role have on industry behavior?
Y’know, this isn’t specific to data centers. This is true for all kinds of large-scale development: there’s a need to require some sort of federal monitoring and regulation.
That’s where I see an emerging role for public health. At the federal level, there could be policy movement towards requiring some sort of environmental monitoring at data centers to make sure they’re operating responsibility. Looking at specific water use relative to water availability and what happens when there’s a time of severe, persistent drought. With air quality too — we’ve seen areas where the grid isn’t as reliable so their diesel generators are kicking on more and affecting air quality for residents.
We’re just not seeing all of that right now. We need corporate disclosure.
What do you see as the most important public health impacts from data center development?
It varies by localities. The most discussed obviously is water usage. One thing I’d note about my conversations with folks enthusiastic around emerging tech is, there are still questions that need to be asked about the capacity of localities to support a data center. Like a small town in Kansas may only be using 40% of their water for their utility needs. If a data center came online, how much of that water goes to the data center?
One area underexplored within the public health discipline is energy poverty and energy security. The ability of a household to meet the needs of everything energy provides in our lives. It’s known we have an aging electric grid but we’re not talking enough about large-scale blackouts when the grid is not sufficient to support some of these new data centers.
Plus more of the week’s big development fights.
1. Laramie County, Wyoming — Meta is fighting the fine it received in the Cheyenne data center water pollution controversy, and the conflict between the tech giant and the city’s small board of public utilities is continuing to spill out into the public.
2. Niagara County, New York — This county just rejected a solar project’s highway work permits in a show of retaliation against the state’s Office of Renewable Energy Siting.
3. Barron County, Wisconsin — The anti-solar protest is the new campaign stop in deep red Wisconsin.
4. Chesapeake, Virginia — A large battery storage project on the Virginia coastline is on the rocks amidst rampant local opposition.
5. Lewis County, West Virginia — West Virginia is now a key battleground in the fight over transmission, as a line spanning all of West Virginia and Maryland — and cutting through Data Center Alley in Virginia — causes compounding consternation.