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

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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.

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

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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.

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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.
This are heating up for Fervo. Photo via Fervo Energy

Fervo taps new geothermal site and more energy transition news to know

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Editor's note: We're looking back at the biggest energy transition headlines from the second half of February, including Fervo's hottest well to date and the future of data centers in Texas. Below are the five most-read EnergyCapital stories from February 16-28, 2026.

1. Fervo taps into its hottest-ever geothermal reservoir

Fervo Energy has unlocked multigigawatt potential from a new geothermal energy site. Photo courtesy Fervo Energy.

Things are heating up at Houston-based geothermal power company Fervo Energy. Fervo recently drilled its hottest well so far at a new geothermal site in western Utah. Fewer than 11 days of drilling more than 11,000 feet deep at Project Blanford showed temperatures above 555 degrees Fahrenheit, which exceeds requirements for commercial viability. Fervo used proprietary AI-driven analytics for the test. Continue reading.

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

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

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. Continue reading.

3. Texas claims No. 1 spot on new energy resilience report

Texas outpaced the rest of the country in a new energy resilience report, despite grid challenges and rising AI demand. Photo courtesy of ERCOT

A new report by mineral group Texas Royalty Brokers ranks Texas as the No. 1 most energy-resilient state. The study focused on four main sources of electricity in hydroelectric dams, natural gas plants, nuclear reactors and petroleum facilities. Each state was given an Energy Resilience Score based on size and diversity of its power infrastructure, energy production and affordability for residents. Continue reading.

4. Texas' oil and gas foundation could boost its geothermal future, UH says

A new UH white paper says that Texas is poised to lead advanced geothermal due to its oil and gas skills and capacity. Photo via UH.edu.

Equipped with the proper policies and investments, Texas could capitalize on its oil and gas infrastructure and expertise to lead the U.S. in development of advanced geothermal power, a new University of Houston white paper says. Continue reading.

5. HETI leader reflects on four years focused on the energy transition

Jane Stricker reflects on four years at HETI. Courtesy photo

It’s hard to believe only four years have passed since I joined the Greater Houston Partnership to lead the Houston Energy Transition Initiative. We talk about COVID years feeling simultaneously like just yesterday and a lifetime ago, and my time at HETI feels quite similar. The energy and climate landscape has evolved dramatically over the last few years, but one constant has endured…Houston remains at the heart of the energy industry. Continue reading.

Merab Momen, founder of AI CTO Services. Courtesy Photo

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

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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.

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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.

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Houston researchers develop heating method to recover critical minerals from e-waste

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Researchers at Rice University have developed a new technique to efficiently recycle electronic waste and harvest critical minerals using rapid heating.

Most electronic devices use flame-retardant plastic. The plastic is formulated from a critical metal called antimony.

However, recapturing antimony is typically a challenging task since it first has to be released from the plastic. As it is released, other compounds can form, such as organic bromides, which are toxic and difficult to capture. However, the organic bromides can also be reused and have applications in industrial chemicals when safely captured.

“Conventionally heating the plastic releases the antimony in a volatile and difficult-to-collect form as well as creating and releasing hazardous organic bromide compounds,” Leo Haoxin Ye, first author of the paper and a graduate student at Rice, said in a news release. “Other options are risky or more impractical, such as using strong acids, organic solvents or multistep treatment options.”

To address this issue, leading Rice chemistry professor James Tour, Ye and their team adapted Tour’s flash Joule heating technique, which heats materials to hundreds of degrees Celsius in milliseconds, according to Rice.

The team ground up flame-retardant plastic waste and placed it between two sheets of electrically heated carbon paper before using what’s known as isothermal-clamped flash Joule heating to release and collect the antimony.

The team found that limiting the time the plastic spent in the high temperature range dramatically reduced the production of the hazardous organic bromide compounds. The plastic remained between 200 degrees and 500 degrees Celsius for only 9.4 milliseconds, according to Rice.

Through the process, the team recovered 90 percent of antimony from tested materials and converted 83 percent of the bromide into hydrogen bromide. Their findings were published this month in the journal Nature Chemical Engineering.

“Isothermal-clamped flash Joule heating could improve the speed, safety and practicality of antimony recovery from discarded flame-retardant plastics,” Tour added in the release. “This represents an important step forward to conserving and reusing our critical antimony supply while also regenerating bromide salts for reuse.”

The study noted that the world is currently trending toward producing 82 million metric tons of flame-retardant plastic waste by 2030, which adds to the fact that e-waste is the fastest-growing solid waste stream in the world.

The research was funded by the Air Force Office of Scientific Research and the U.S. Army Corps of Engineers.

Tesla unveils new Roadster sports car, which can thrust itself in the air

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Tesla has unveiled its new Roadster sports car, which can thrust itself in the air, among other engineering bells and whistles. But drivers shouldn't expect to take it for a spin anytime soon.

Elon Musk's electric car company rolled out its second-generation Roadster at a Thursday event, showing off a set of cold gas thrusters and a “multi-mode” suction system that can fling the car in the air for short spurts and spin the vehicle mid-flight.

“Turns out the future does have flying cars,” Musk, Tesla's CEO, wrote on his social media platform X shortly after.

That future could be a ways off, however, given the regulatory hurdles for flying vehicles and the tangle of state rules that still need to be met.

“I’m not sure every state is going to allow a driver in the middle of traffic to suddenly elevate himself and fly," said David Vladeck, a Georgetown Law professor and former director of the FTC’s Bureau of Consumer Protection. “There is going to be a long process to let anything like that on a road.”

Thursday's event was hosted at the Texas rocket testing and development center for SpaceX — Musk's publicly-traded rocket company — and Tesla's executives noted that they “borrowed” some SpaceX technology to get the new Roadster in the air. Beyond quick jumps and flips, Tesla also said the car can accelerate from zero to 60 miles (96.6 km) an hour in less than a second.

This launch arrived after years of delays and anticipation around the new Roadster — and Tesla shares climbed in morning trading on Friday before falling amid a sell-off in companies tied to artificial intelligence.

The wait isn't completely over. Musk said production for consumers won't begin until 2028. Tesla also didn't immediately set a price tag on its latest EV.

Tesla was taking reservations for Roadster “rocket” car purchases on its website Friday morning, though the fine print said there was no guarantee when the vehicle would be delivered — or whether it would be delivered at all.

Bryant Walker Smith, former vice chair of a Department of Transportation advisory group on innovation, was unimpressed — though he did note Musk's ability to keep Tesla's stock high.

“This was a demonstration of a one-off car using a technology around for many years and will not be coming to public roads in 2028," said Smith, a law professor at the University of South Carolina. “Tesla pretty uniquely has been able to sell itself on a future that is an order of magnitude greater than reality.”

Musk has repeatedly said that the future of driving will be autonomous — and Austin-based Tesla has focused much of its business on building out self-driving features for its vehicles and, more recently, launching its own (still limited) robotaxi business.

But the company maintains that the Roadster will be made to have humans behind the wheel, calling the EV the “best of the last human-driven cars.”

Thursday's demo was technically autonomous “to make sure we don’t kill anyone,” Musk noted. But long-term, he said, the new Roadster will be “the only manually driven car that Tesla makes.”

“This is not necessarily a safety-optimized car,” Musk later added, met by laughter from the audience. But “it takes the fun meter to 11 out of 10.”

Tesla's first Roadster was launched back in 2008. And in 2018, Musk went as far as placing one on a rocket — with a mannequin dubbed “Starman” in the driver's seat — and launching it into space.

Again, the second-generation Roadster isn't immediately hitting the market. And whether the ambitious new vehicle boosts the company's bottom line remains to be seen.

In second-quarter earnings reported over the summer, Tesla's profits fell as the company spent more on research and development for its robotaxi and robotics businesses — which cut into money made from an otherwise sharp increase in vehicle sales. Net income totaled $1.11 billion for the period, while revenue climbed to $28.24 billion.

TEX-E names New Climate Ventures as latest expert in residence

energy mentors

Texas Exchange for Energy & Climate Entrepreneurship (TEX-E) has named its latest expert in residence.

The Houston-based energy transition nonprofit recently announced that New Climate Ventures will join the newly established program. The Expert-in-Residence partnership aims to connect TEX-E Fellows with "the people and organizations shaping the future of energy and entrepreneurship," the nonprofit previously announced.

Taylor Chapman, an investment principal at New Climate Ventures, sits on TEX-E's board of directors. New Climate Ventures invests in early-stage startups building next-gen technologies in the energy, materials and fuels sectors. The venture capital firm's portfolio includes Houston-based clean energy startups like Solidec, Syzygy Plasmonics and Rheom Materials.

“If you know me, you know that I'm passionate about ensuring that my beloved hometown, Houston, is the energy capital of the future — not just of the past," Chapman said in a LinkedIn post. "TEX-E is building a key piece to ensure that's the case: a strong pipeline of graduate and college students immersed [and] versed in the world of energy [and] climate entrepreneurship."

TEX-E says the partnership with New Climate Ventures will allow its fellows opportunities to learn from investors that work with emerging companies and understand how they evaluate new technologies.

TEX-E announced Houston-based geothermal unicorn Fervo Energy and venture capital firm Mercury Fund as its first experts in residence in August. At the time, it said the partnerships would allow its fellows to network and work with Tim Latimer, CEO of Fervo; Sarah Jewett, COO of Fervo; and Blair Garrou, managing partner of Mercury Fund.

The nonprofit was founded in 2022 through partnerships with MIT Martin Trust Center for Entrepreneurship and Greentown Labs. It works with university students from six schools: Rice University, University of Houston, Prairie View A&M University, The University of Texas at Austin, Texas A&M University and MIT.

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