Energy AI startup chooses Houston for first U.S. office after $20M raise

welcome to houston

The company is known for its Orbital AI platform, which is tailored for the energy sector. Photo via solutions.kbr.com

London-based AI firm Applied Computing has announced a $20 million Series A round and a new office in Houston.

The new Bayou City office is Applied Computing’s first in the United States and part of its North American expansion. The company is known for its Orbital AI platform, which is tailored for energy operations.

The funding round was led by Houston-based KBR Inc., with participation from San Francisco-based Databricks Ventures. KBR’s investment was first announced in March.

KBR and Applied Computing have also entered into a multi-year agreement to deliver exclusive AI products for the energy sector. KBR already has integrated Orbital into its INSITE 3.0 platform for energy projects, and is also using the product for ammonia production.

Applied Computing’s Orbital platform combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language, according to the company. The system analyzes sensor readings and can recognize a facility’s equipment constraints and operator activity. The platform can also allow technicians to run simulations of how a change to a facility could affect the rest of its operations.

According to TechCrunch, Applied Computing will use the $20 million to further explore projects and deployments with the energy sector, hire engineering and research positions, and continue to expand internationally, potentially into the Middle East.

The company is also working on deals with a major U.S. stream operator, TechCrunch reports. And Applied Computing shared on LinkedIn that it plans to announce its first partnership with a major European oil company in the coming weeks.

“Yesterday we showed Orbital live in deployments at our demo day at the Energy Institute in London,” Callum Adamson, CEO and co-founder of Applied Computing, posted on LinkedIn on July 16. “Today, we're announcing the capital to scale it globally as well as the launch of our new offices in Houston and Bangalore. In the weeks following, there will be more announcements on our progress, partnerships and deployments.”

The company opened its Bangalore offices in December.

----

This article originally appeared on our sister site, InnovationMap.com.

From Your Site Articles

Scotty Nyquist discuss the growth in AI data centers and the strain on the system. Photo via HARC report

Houston energy expert asks: Who pays when AI outruns the power grid?

Guets Column

For most of the past 20 years, U.S. electricity policy relied on predictable trends in demand. Electricity use, in most regions, increased gradually, forecasts were stable, and utilities adjusted the system in small steps. Power plants, transmission lines, and substations were generally added to reflect shifts in load, rather than growth, and costs were recovered through modest adjustments to customer bills.

Growth in AI data centers has disrupted this model. A single facility can add as much electricity demand as a small town. That demand comes all at once, runs continuously, and has little tolerance for outages. If electricity service drops even briefly, computation stops, and services shut down. Ironically, data centers need reliable service, a point that their emergence is driving concern around for the rest of the grid.

What the numbers say

The International Energy Agency projects global electricity consumption from data centers to double by 2030, reaching roughly 945 TWh, nearly 3 percent of global electricity demand, with consumption growing about 15 percent per year this decade. McKinsey projects that U.S. data center demand alone could grow 20–25 percent per year, with global capacity demand more than tripling by 2030.

After years of roughly 0.5 percent annual demand growth, many forecasts now place total U.S. electricity demand growth closer to 2–3 percent per year through the mid-2030s, with much higher growth in specific regions. In Texas, some forecasters are saying electricity demand could double over the next five years, a staggering 10 percent per year growth rate. What sounds incremental on paper translates into a major challenge on the ground. Meeting this pace of growth is estimated to require $250–$300 billion per year in grid investment, about double what the system has been absorbing.

Where the system starts to strain

The strain appears first in the interconnection queue. It shows up as long waits, backlogs, and delays for connecting new loads and new generation.

Before new generators or large load customers can be connected, a study is required to assess their impact on the grid, whether it can physically handle the added load, and whether upgrades are required. With AI-driven data centers, utilities face far more connection requests than they can realistically support. In ERCOT, large-load interconnection requests exceed 200 gigawatts, most tied to data centers. That amount exceeds historical norms, and it is several times larger than what can be practically studied or built in the near term.

To be clear, public utility commissions are required to study these requests because they must manage system capabilities to ensure minimal disruption. This means engineers spend time evaluating projects that may never be built, while other more commercially viable projects may wait longer for approvals. This extends timelines and makes infrastructure planning less reliable.

Why policymakers are rethinking the rules

Utilities and their regulators must decide how much generation, transmission, and substation capacity to build years before it comes online. Those decisions are based on expected demand at the time projects are approved. When it comes to data centers, by the time infrastructure is completed, they may end up deploying newer, more efficient chips that use less power than originally assumed. This can result in grid infrastructure built for a higher load than what actually materializes, leaving excess capacity that still must be paid for through system-wide rates.

That’s the central dilemma. If utilities build too little capacity, the system operates with less reserve margin. During periods of grid stress, operators have fewer options, increasing the likelihood of curtailments or outages. However, if utilities build too much, customers may be asked to pay for infrastructure that is not fully used.

In response, policymakers are adjusting the rules. In some regions, regulators are moving toward bring-your-own-power approaches that require large data centers to supply or fund part of the capacity needed to serve them or reduce demand during system stress. At the federal level, permitting reforms tied to datacenter infrastructure increasingly treat electricity as a strategic economic input.

As Ken Medlock, senior director at the Baker Institute Center for Energy Studies (CES), explains:

“Many of the planned data centers are now also adding behind-the-meter options to their development plans because they do not anticipate being able to manage their needs solely from the grid, and they certainly cannot do so with only intermittent power sources.”

Behind-the-meter (BTM) refers to power that a consumer controls on its side of the utility meter, such as on-site gas generation or a dedicated power plant. These resources allow data centers to keep operating during grid-related service. Most facilities remain connected to the grid, but the backup BTM generation serves as insurance for operating their core business.

This shifts responsibility. Utilities traditionally manage reliability across all customers by maintaining an operating reserve margin, or spare capacity. Increasingly, large-load customers manage part of their own electricity reliability needs, which changes how infrastructure is planned and how risk is distributed.

Bottom line

AI-driven load growth is arriving faster and in more concentrated places than the power system was built to accommodate. Utilities and regulators are being forced to make decisions sooner than planned about where to build, how fast to build, and which customers get priority when capacity is limited. The effects extend beyond data centers, showing up in system costs, reliability margins, competition for grid access, and pressure on communities and industries that depend on affordable and dependable power. The issue is not whether electricity can be generated, but how the costs and risks of rapid demand growth are distributed as the system tries to keep up. How regulators balance these decisions will determine who pays as AI demand outruns the power grid.

-----------

Scott Nyquist is a senior advisor at McKinsey & Company and vice chairman, Houston Energy Transition Initiative of the Greater Houston Partnership. The views expressed herein are Nyquist's own and not those of McKinsey & Company or of the Greater Houston Partnership. This article originally appeared on LinkedIn.

Collide has rolled out RIGGS, a large language model for energy professionals. Photo via Getty Images

Houston AI startup rolls out platform to reshape oil and gas workflows

AI for energy

Houston-based Collide is looking to solve AI issues in the energy industry from within.

Co-founded by former oil roughneck Collin McLelland, the company has developed AI software for operators and field teams, shaped by firsthand oilfield experience. Its AI-native platform “retrieves and synthesizes data from authoritative sources to deliver accurate, cited, and energy-focused insights to oil and gas professionals,” according to the company.

“Oil and gas has a graveyard full of technology that was technically impressive and operationally useless,” McLelland tells Energy Capital. “The reason is almost always the same: the people who built it didn't understand what they were actually solving for. When you're an outsider, you see workflows and try to automate them. When you're an insider, you understand why those workflows exist—the regulatory constraints, the physical realities, the liability concerns, the trust dynamics between operators and service companies.”

Collide’s large language model, known as RIGGS, performed well in recent benchmarking results when taking a standardized petroleum engineering (SPE) exam, the company reports. The exam assesses understanding from conceptual terminology to complex mathematical problem-solving.

According to Collide, RIGGS achieved a score of 67.5 percent on a 40-question subset of the SPE petroleum engineering exam, outperforming other large language models like Grok 4 (62.5 percent), Claude Sonnet 4.5 (52.5 percent) and GPT 5.1 (4 percent).

RIGGS completed the test in 15 minutes, while Grok took two hours. Collide hopes over the next few months, RIGGS will receive a score between 75 percent to 80 percent accuracy.

The software could potentially help oil and gas companies produce accurate outputs and automate trivial workflows, which can open up valuable time for engineers and teams to work on other pressing matters, according to McLelland.

“Collide exists because we sat in those seats — we were the engineers, the operators, the field guys,” he says. ”RIGGS scoring higher on the PE exam versus the frontier labs isn't a party trick. It's evidence that the model understands petroleum engineering the way a petroleum engineer does, because it was built by people who do.”

RIGGS was trained on Collide’s Spindletop hardware and is supported by a vast library of information, as well as a reasoning engine and validation layer that uses logic to solve problems.

“Longer term, we see RIGGS as the intelligence layer that sits underneath every operator's workflow — not a chatbot you open in a browser, but something embedded in the tools engineers already use,” McLelland says. “The goal is to give every engineer the knowledge and pattern recognition of a 30-year veteran, on demand."

According to McLelland, Collide is already building toward reservoir analysis and production optimization, automated regulatory compliance (Railroad Commission filings, W-10s, G-10s), workover report generation, and engineering decision support in the field for near-term use cases. In March, Collide and Texas-based oil and gas operator Winn Resources announced a collaboration to automate the time-intensive process of filing monthly W-10 and G-10 forms with the Texas Railroad Commission, completing what’s normally a multi-hour task in under 30 minutes. Collide reports that Winn’s infrastructure now automates regulatory filings and provides real-time visibility into data gaps, which has reduced processing time by over 95 percent.

“Before Collide, I'd spend hours manually keying in filings,” Buck Crum, director of operations, said in a news release. “(In March), we had 50 wells to file and I was done in 20 minutes. It does the majority of the heavy lifting while keeping me in control. That human-in-the-loop approach saves meaningful time and gives us greater confidence in our compliance and reporting.”

Collide was originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing.” After raising $5 million in seed funding led by Houston’s Mercury Fund last year, the company said it would shift its focus to rolling out its enterprise-level, AI-enabled solution.

Hadi Ghasemi, a University of Houston professor, has uncovered a method to release heat from data centers and electronics at record performance. Photo courtesy UH.

Houston researcher develops efficient method to cool AI data centers

cool findings

A University of Houston professor has developed a new cooling method that can remove heat at least three times more effectively from AI data centers than current technologies.

Hadi Ghasemi, a distinguished professor of Mechanical & Aerospace Engineering at UH, published his findings in two articles in the International Journal of Heat and Mass Transfer. The findings solve a critical issue in the growing AI sector, according to UH.

High-powered AI data centers generate huge amounts of heat due to the GPU and operating systems they use with extreme power densities, which introduce complex thermal challenges. Traditionally, cooling methods, like microchannels, which use flow and spray cooling, have had limitations when exposed to extreme heat flux, according to UH.

Ghasemi’s research, however, found a more effective way to design thin-film evaporation structures to release heat from data centers and electronics at record performance.

Ghasem’s solution coupled topology optimization and AI modeling to determine the best shapes for thin film efficiency, ultimately landing on a branch-like structure—resembling a tree.

The model found that the “branches” needed to be about 50 percent solid and 50 percent empty space for optimum efficiency, and that they could sustain high heat fluxes with minimal thermal resistance.

“These structures could achieve high critical heat flux at much lower superheat compared to traditionally studied structures,” Ghasemi said in a news release. “The new structures can remove heat without having to get as hot as previous removal systems.

Ghasemi’s doctoral candidates, Amirmohammad Jahanbakhsh and Saber Badkoobeh Hezave, also worked on the project. The team believes their results show the impact of a physics-aware, AI design and can help ensure reliability, longevity and stability of AI data centers.

“Beyond achieving record performance, these new findings provide fundamental insight into the governing heat-transfer physics and establishes a rational pathway toward even higher thermal dissipation capacities,” Ghasemi added in the release

Merab Momen, founder of AI CTO Services. Courtesy Photo

How this Houston expert helps startups turn AI hype into real impact

now streaming

Artificial intelligence is now everywhere. It is mentioned in every startup pitch deck, and every corporate roadmap claims to use it. However, many early-stage businesses struggle with the simple question, “What does AI actually mean for my business?”

In a recent podcast episode of EnergyTech Startups, Merab Momen, founder of AI CTO Services and a long time AI practitioner, explains why most founders misunderstand AI, how startups can practically apply it and why Houston is quietly becoming a serious hub for AI-driven innovation.

Filling the AI Leadership Gap

Merab’s career has spanned decades of technology transitions. He worked on neutral networks in the 1990s, constructed computer vision systems long before they were common, and helped install AI solutions inside huge industrial companies. However, he noticed a huge problem when generative AI started to explode into the mainstream-The requirement of a real partner by the founders for AI integration but inability to rely on a full-time CTO and project-based consultants.

“I really needed something which is much more engaging where I can give that partner-level advice to the founders,” he said. By giving firms on-demand access to high-level AI knowledge and expertise, his methodology enables them to analyse tools, steer clear of cost blunders and eventually transition to a permanent technology leader when the time is right.

AI is Older than Most People Think

Despite its recent rise in popularity, AI is nothing new. AI actually began in the 1950s. Merab in his conversation explained how he worked on his first AI project back in the year 1996 that worked perfectly, but the processing power wasn’t just there to make it practical. He continued how he utilized the swarm intelligence models to optimize supply chains, now referred to as MLPOs and data engineering.

From Language Models to Physical World

Much of the public conversation about AI revolves around chatbots and text generation. But Merab sees far greater potential in AI’s interaction with the physical world, especially in industrial settings. He emphasized edge computing and vision language models (VLMs) as significant advances in manufacturing and energy. This physical shift is opening doors for new opportunities for robotics, automated inspections, and industrial safety applications. Merab added that Houston is uniquely positioned for this transition.

Why Houston has an AI Advantage

Silicon Valley may dominate the AI headlines, but Merab believes Houston’s advantage lies beneath the surface. The city doesn’t lag in AI utilization; it just operates in industries where results show differently.

Machine learning isn’t new to Houston’s core industries. Energy companies, manufacturers, logistics providers, and healthcare systems have been using advanced analytics for decades. The difference lies in them innovating in industrial sectors rather than consumer technology.

What’s Next

With the AI CTO Services growing, Merab is working with startups across industries to deploy AI in practical, business-first ways.

He is more interested in assisting founders in finding answers to critical issues than following new trends.

For Houston’s energy and climate tech community, it needs to transform AI enthusiasm into real-world impact.

Listen to the full conversation with Mehrab Momin on the Energy Tech Startups Podcast to learn more.

---

Energy Tech Startups Podcast is hosted by Jason Ethier and Nada Ahmed. It delves into Houston's pivotal role in the energy transition, spotlighting entrepreneurs and industry leaders shaping a low-carbon future.

A new report shows the role Texas could play as the data-center sector enters "hyperdrive." Photo via JLL.com.

Texas could topple Virginia as biggest data-center market by 2030, JLL report says

data analysis

Everything’s bigger in Texas, they say—and that phrase now applies to the state’s growing data-center presence.

A new report from commercial real estate services provider JLL says Texas could overtake Northern Virginia as the world’s largest data-center market by 2030. Northern Virginia is a longtime holder of that title.

What’s driving Texas’ increasingly larger role in the data-center market? The key factor is artificial intelligence.

Companies like Google and Microsoft need more energy-hungry data centers to power AI innovations. In a 2023 article, Forbes explained that AI models consume a lot of energy because of the massive amount of data used to train them, as well as the complexity of those models and the rising volume of tasks assigned to AI.

“The data-center sector has officially entered hyperdrive,” Andy Cvengros, executive managing director at JLL and co-leader of its U.S. data-center business, said in the report. “Record-low vacancy sustained over two consecutive years provides compelling evidence against bubble concerns, especially when nearly all our massive construction pipeline is already pre-committed by investment-grade tenants.”

Dallas-Fort Worth has long dominated the Texas data-center market. But in recent years, West Texas has emerged as a popular territory for building data-center campuses, thanks in large part to an abundance of land and energy. Nearly two-thirds of data-center construction underway now is happening in “frontier markets” like West Texas, Ohio, Tennessee and Wisconsin, the JLL report says.

Northern Virginia, the current data-center champ in the U.S., boasted a data-center market with 6,315 megawatts of capacity at the end of 2025, the report says. That compares with 2,423 megawatts in Dallas-Fort Worth, 1,700 megawatts in the Austin-San Antonio corridor, 200 megawatts in West Texas, and 164 megawatts in Houston.

Ad Placement 300x100

Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

8 must-attend Houston energy events happening in November 2026

Mark your calendars

Editor's note: The November calendar is front-loaded with events for those in Houston's energy sector. From annual summits to an expo exploring AI and energy, these are the events you'll want to register for this month.

Nov. 2 — Energy Leadership Speaker Series

Join UH Energy for a conversation with Jason Wells, Chair, President, and Chief Executive Officer of CenterPoint Energy. The Energy Leadership Speaker Series is a year-long program featuring 12 expert-led sessions covering topics from energy leadership to AI and data science in energy operations. The November topic is "Grid Modernization & The Electricity Revolution."

This event begins at 4:15 pm on November 2 at the University of Houston. Find details here.

Nov. 3-4 — Next-Gen AI for Energy Summit 2026

The summit brings together over 600 senior executives from energy, technology, policy, and investment communities worldwide to explore six strategic areas: operational optimization, digital infrastructure, finance, digital twins, risk management, cybersecurity, and AI-driven market and regulatory strategies. The summit is co-located with EnergyTech X, an invite-only forum connecting energy innovators, AI founders, startups, and investors to scale next-generation energy technologies.

This event begins Nov. 3 at the Intercontinental Houston. Register here.

Nov. 3-5: 17th Annual Operational Excellence in Oil & Gas Summit

The 17th Annual Operational Excellence in Oil & Gas Summit will focus on aligning technology, process, and workforce to balance reliability, resilience, and operational cost. It will feature case studies on AI adoption, asset management, and workforce modernization.

This event begins Nov. 3 at Norris Conference Center. Register here.

Nov. 4-5 — 2026 OPIS Global LPG Conference: Powering Global Connectivity

This November, industry leaders, traders, producers, and infrastructure stakeholders will once again converge in Houston—the world’s LPG hub—for the 2026 OPIS Global LPG Conference. The conference will cover the global LPG market, which is entering a new phase of structural evolution, and how the industry is moving from managing volume to mastering the connectivity between expanding supply hubs and global energy and petrochemical demand.

This event begins Nov. 4 at the Royal Sonesta Houston Galleria. Register here.

Nov. 4-6: SAF North America Congress 2026

The aviation and energy value chains will gather in Houston once again to help shape the future of Sustainable Aviation Fuel (SAF) in North America. The focus will be on safeguarding progress made to date and ensuring SAF remains central to energy and climate strategies.

This event begins Nov. 4 at Marriott Marquis Houston. Register here.

Nov. 11: BNEF Summit Houston 2026

The BNEF Summit Houston 2026 will explore how AI-driven demand, geopolitical tensions, and electrification are reshaping energy systems at unprecedented speed. Bringing together 600 leaders across energy, tech, digital infrastructure and finance, the summit will address the race to build power, infrastructure, and supply chains — and who will fund, deliver, and benefit from the next phase of growth.

This event takes place Nov. 11 at Post Oak Houston. Register here.

Nov. 11-12: Energy Supply Chain & Procurement Summit

For 12 years, the Energy Supply Chain and Procurement Summit has brought senior procurement, supply chain, and logistics leaders to Houston — from operators, EPCs, utilities, service and equipment providers, and the suppliers they depend on. At the 2026 summit, leaders will discuss what production growth is doing to sourcing, supplier risk, and assurance of supply, and what’s working.

This event begins Nov. 11 at Houston Marriott Uptown. Register here.

Nov. 18-19: American Data Centers & AI Conference and Exhibition 2026

Set to redefine the intersection of energy and digital infrastructure, the American Data Centers & AI Conference and Exhibition convenes in Houston for its second annual event. The event will address the increasing demand for high-performance computing and the sustainable development of AI infrastructure, which requires significant power. Participants can expect to learn about practical solutions in energy integration, modern data center design, and scalable approaches. The agenda includes presentations from leading experts, demonstrations of new technologies for thermal management and grid optimization, and detailed discussions on AI's environmental impact and how to reuse generated heat.

This event begins Nov. 18 at the Double Tree Hotel at Greenway Plaza. Register here.

Utah solar company acquires Houston projects, expands to Texas

solar deals

Utah-based solar technology and battery storage company SunPower has announced its expansion into Texas by acquiring “prime project assets” from Houston installer Green Light Solar.

As part of the deal, Green Light Solar CEO James Garrett will lead SunPower’s U.S. installation group. Garrett is based in the Houston area, according to LinkedIn.

Green Light Solar focuses on residential and commercial solar installations, battery backups and whole-home generators throughout Texas, Louisiana, Oklahoma and Colorado. As of press time, SunPower had not disclosed which specific projects or assets were included in the acquisition.

In addition to the Green Light acquisition, SunPower also announced its second strategic partnership with Fort Worth-based SOLRITE Energy, which provides solar and battery project financing and virtual power plant capabilities.

Through the partnership, SunPower plans to expand its residential solar and battery storage business and grow its virtual power plant (VPP) network in Texas.

A virtual power plant is a network of connected energy sources that can supply electricity to the grid when demand is high. The network draws on energy stored in individual residential and commercial battery systems. VPPs can also help participating homeowners generate additional revenue by selling their stored power.

“SOLRITE not only sources projects to us but also provides project funding for innovative systems with large batteries connected to a VPP, enabling power sales into the open market,” T. J. Rodgers, SunPower CEO, said in a news release. “That VPP capability provides an extra source of income that SOLRITE shares with homeowners and EPCs, making SOLRITE an attractive partner.”

SunPower will bring its sales, installation and lifetime warranty support to the partnership, while SOLRITE will provide its virtual power plant platform and solar financing capabilities, according to the release.

"Building our VPP business is a key part of SunPower’s growth strategy going forward,” Kapil Rai, EVP of Direct at SunPower, added in the release. “Our partnership with SOLRITE gives us a path to bring together customer acquisition, solar, storage deployment, and financing to develop this business in Texas and beyond.”

Solid-state generator company secures $9M in financing, names CTO

fresh financing

ATS Energy has secured a $9 million investment to help commercialize its solid-state generator technology, a representative from the company tells Energy Capital.

The Colorado-based company is a member of Houston's Greentown Labs climatech community and was named the second most-promising startup in the Innovations for Traditional Energy, Electricity, & the Grid track during CERA Week's Energy Venture Day and Pitch Competition in March.

ATS's technology converts industrial waste heat into electricity via its proprietary thermoelectric cartridges, according to a news release. The cartridges convert the otherwise wasted thermal energy directly into usable electricity with no turbine, no moving parts and no emissions.

"We have spent years building a proven track record of breakthrough technology," Doug Hudson, CEO of ATS Energy, said in the release. "What has developed over the past year is that markets are moving toward ATS Energy, said in the release. We've moved well beyond early interest to commercial commitments, active proposals and a pipeline that continues to expand across multiple industrial sectors. That puts us in a tremendous position to meet the moment in delivering energy to industry. This investment responds to real commercial opportunity, and it positions ATS Energy to scale production, meet customer demand faster, and drive commercial deployments."

According to the release, ATS plans to complete and deploy its first commercial generator using the thermoelectric cartridges by mid-2027. The company shared that it plans to begin revenue-generating operations next year, as well.

ATS has also named Edward Ganja as its new CTO. Ganja previously served as a technology advisor for ATS and spent more than 30 years at Shell, most recently as vice president of catalyst and analytical technology in Houston, according to LinkedIn.

"Having worked closely with the team as a Technology Adviser, I am thrilled to step into the Chief Technology Officer role to lead our technology strategy and advanced materials scale-up," Ganja shared in a LinkedIn post. "ATS is tackling crucial energy challenges, and I look forward to working with our talented team, partners, and industry colleagues to accelerate our commercial development and technological footprint."

A representative from the company shares that ATS has three employees in Texas, including two in Houston. The company is targeting industrial facilities, including Gulf Coast refineries and petrochemical plants, for its production model, which will leverage established manufacturing capabilities to help quickly scale its commercial pipeline.

"We are scaling manufacturing with the discipline required for commercial-grade industrial deployment, moving beyond proof-of-concept to deliver mission-critical equipment," Terry Hill, COO of ATS, added in the release. "We've been building the supply chain, identifying the right manufacturing partners and putting the processes in place to move toward repeatable production. By leveraging contract manufacturing, we can focus our capital on the technology, the product and our customers rather than building factories. Just as importantly, we're working to reduce the time between installations so we can respond to the demand we're seeing in the market."

ATS won the prestigious Earthshot Prize in the Fix Our Climate category in 2024. The Earthshot Prize, founded by Prince William, awards £1 million to five energy startups each year over a decade.

View All Listings

ENERGYCAPITALHTX EMAILS ARE AWESOME