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

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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EV surge could shutter 40 refineries by 2040, Wood Mackenzie report warns

ev outlook

The rise of electric vehicles could spell trouble for Houston’s oil and gas sector, a new report suggests. But the oil and gas industry stands to benefit from potential sluggishness in U.S. adoption of EVs.

If worldwide EV adoption rises as expected, global oil demand could fall by five million barrels per day by 2040, accelerating the closure of about 40 oil refineries, says the report, published by energy research and consulting firm Wood Mackenzie. The firm’s North American hub is in Houston.

Those closures might spell trouble for refinery operators with a sizable Houston-area presence, including BP, ExxonMobil, Marathon, Saudi Aramco, and Valero. In 2025, the five companies collectively earned roughly $33 billion from downstream operations, including refineries. One caveat: Each company assigns a different definition to “downstream.”

Refineries in Organization for Economic Co-operation and Development (OECD) countries, including the U.S. but excluding Middle Eastern heavyweights, “are most at risk due to their high energy costs and carbon prices,” the Wood Mackenzie report says.

On the flip side, an abundant U.S. oil supply means American drivers have less of an incentive to switch from traditional cars to electric vehicles, despite stubbornly high fuel prices, according to the report.

Wood Mackenzie predicts EVs will account for 20 percent of the U.S. personal and commercial vehicle fleet in 2040, up from three percent in 2025. That compares with a global forecast of 25 percent in 2040, up from 4 percent last year.

Another U.S. roadblock to EV adoption cited in the report: the country’s relative lack of advanced battery manufacturing.

“Without advanced battery technologies, the U.S. auto sector is at risk of ceding its home market to non-Chinese EVs and falling behind competitors internationally,” the report says.

Furthermore, according to the report, Chinese investment in EV manufacturing in the U.S. probably will remain a no-go and tariffs on Chinese EV imports likely won’t be lifted, even if Democrats resurrected EV incentives following a White House win in 2028.

“Competition among EV manufacturers in international markets will only intensify,” the report notes. “Companies that can offer competitive products in high-growth markets will be best positioned for long-term success.”

Houston’s data center capacity set to grow 80%, report says

data findings

Houston stands to benefit from constraints dogging data center markets elsewhere in Texas, a new report indicates. This comes against the backdrop of Texas surpassing Virginia as the country’s top state for data centers — and amid deepening opposition to these facilities.

The report, published by commercial real estate services provider JLL, foresees Houston continuing to gain traction in data center development as occupants seek “scalable alternatives” to Texas markets experiencing supply-and-demand imbalances.

The Houston area currently hosts data centers with 287 megawatts of capacity, well below capacity levels in the Dallas-Fort Worth, Austin-San Antonio and West Texas markets.

However, the region is witnessing a spike in capacity, with 390 megawatts of capacity under construction, according to the report. Counting newly built data centers, Houston would be home to 677 megawatts of data center capacity, an 80 percent increase from the current inventory, the report says.

Developers target West Houston for large-scale data centers

Developers increasingly are evaluating West Houston and surrounding areas for large-scale campuses capable of supporting behind-the-meter power, according to the report. Data center development in the region is likely to remain concentrated in those areas, where power is readily accessible and flood risks are lower, the report adds.

The report notes that Houston is evolving from a traditionally enterprise-focused co-location market for data centers into a “credible large-scale growth market,” buoyed by rising interest in hyperscale facilities and increased development activity.

Corporate, energy and healthcare users are still active in Houston’s data center market, the report says, with cloud computing and technology tenants making inroads. The Houston market absorbed 25 megawatts of data center capacity in the first half of this year.

Texas crowned No. 1 state market for data center capacity

The growth of Houston’s data center sector is occurring in tandem with Texas’ ascent as a data center market. The report shows Texas now boasts 26 gigawatts of existing and under-construction capacity, followed by Virginia at 13 gigawatts.

JLL declares that “Texas has cemented its position as the state for data centers.”

The “frontier” markets of West Texas, the Carolinas, Louisiana, and Ohio account for 77 percent of all capacity being developed nationwide, according to the report.

As evidence of Texas’ heightened stature in the data center sector, commercial real estate services provider Cushman & Wakefield recently ranked Dallas as the world’s No. 1 primary data center market, while Austin-San Antonio led the list of second-tier markets and West Texas topped the third-tier ranking.

These rankings underscore “Texas’ growing importance as a large-scale AI infrastructure hub,” Cushman & Wakefield says.

Opposition to new data centers in Texas grows

While businesses see the value of adding data centers in Texas, the state’s data center boom is rattling residents and politicians alike.

A recent University of Houston survey finds that although 85 percent of Houston-area residents use AI—a key driver of data center growth—nearly 63 percent oppose construction of a data center within a mile of their home. Experts estimate 6.5 gigawatts of capacity, or roughly one-fifth of the total U.S. pipeline, will join the Texas power grid by 2030, with Houston serving as a main hub.

A poll taken recently by the University of Texas/Texas Politics Project yielded similar results: 56 percent of Texans oppose development of data centers in their community.

“Texas’ grid is already facing pressure from population growth, extreme weather and rising industrial demand,” UH researcher Soran Mohtadi says. “When residents say they are concerned about data centers, they’re mostly referring to grid reliability and affordability.”

Data center backlash prompts action by politicians

Responding to Texans’ concerns over power and water consumption, Gov. Greg Abbott recently imposed a moratorium on new data centers in the state to allow time for regulatory agencies to assess the projects’ impact. Meanwhile, some state lawmakers are calling for a crackdown on data center development.

Last month, a state legislative committee chaired by Sen. Joan Huffman, a Houston Republican, held a hearing on the effects of state sales tax exemptions given to data centers. The cost of these exemptions has climbed from an estimated $14.6 million in 2014-15 to a projected $3.3 billion in 2028-29, according to law firm Holland & Knight.

Two backers of massive data centers in Texas, social media giant Meta Platforms and AI powerhouse OpenAI, agreed this week to comply with Abbott’s recently issued standards regarding data center projects—and more have followed suit.

Dan Diorio, executive vice president of state policy and government affairs for the industry-backed Data Center Coalition, fears backlash against data centers may curb economic growth in Texas.

“I worry that communities that put moratoriums ultimately create too much uncertainty and unpredictability, and what that ultimately means is that those communities may shut themselves off to data center development but also may shut themselves off to broader economic development,” Diorio told Fox 7 News in Austin.

Texas battery startup hits $13 billion valuation & more top energy news

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Editor's note: Summer is sizzling in the energy transition sector, with a big investment for Base Power and the acquisition of Houston-based Zupt. Plus, an Alabama-based renewables company relocates to Houston. Below are the five most-read EnergyCapitalHTX stories published between July 30-August 13, 2026:

1. Texas battery startup Base Power hits $13B valuation with $1B raise

Base Power, an Austin-based residential power provider with a Houston office, has raised $1 billion in a Series D round, bringing the startup’s valuation to $13 billion. Ribbit, Addition, Valor Equity Partners, and JPMorganChase’s Strategic Investment Group led the round, with participation from Altimeter, D1 Capital Partners, Sands Capital, Coatue, Layer Global, and Energy Impact Partners. Existing investors also added to the round, including Thrive Capital, a16z, Lightspeed, Trust Ventures, and CapitalG. Base Power, which provides residential battery backup systems that automatically turn on during outages and sells electricity to homeowners, says the funding will go toward hiring more people and expanding nationally. Continue reading.

2. Houston subsea firm Zupt acquired in offshore tech deal

Houston-based Zupt LLC, a provider of advanced metrology, inspection, and engineering services for offshore energy and renewable projects, has been acquired by Columbus, Ohio-based Rosenxt Holding USA for an undisclosed amount. Rosenxt says the deal, which closed July 21, represents another step in its long-term strategy to build a portfolio of technology and engineering capabilities for the subsea market in the energy sector. Continue reading.

3. Alabama-based renewable fuels company to move HQ to Houston

An Alabama-based clean tech company is moving its headquarters to Houston. Alléo Energy announced that it will move its headquarters from Bay Minette, Alabama, to Houston's Ion District. The company develops carbon-negative fuels and renewable commodities through its conversion technology that turns wood waste and cellulosic feedstocks into high-energy, high-yield syngas. Continue reading.

4. Houston geothermal startup adds former BP, Calpine execs to C-suite

XGS Energy, a Houston-based developer of geothermal power systems, has added several energy industry veterans to its C-suite this summer. The company named Al Vickers as its new chief operating officer earlier this month. Vickers will replace Ghazal Izadi in the role, as she moves into the chief growth officer position. Vickers previously served as CEO of bp's U.S. Low Carbon Energy business and most recently was COO of Houston-based Grid United, which develops next-generation transmission infrastructure. Continue reading.

5. Woodlands-based Lancium teams up on West Texas data center campus

The Woodlands-based Lancium Technologies, which designs, develops, and manages gigawatt-scale data center campuses, has teamed up with Denver-based data center builder and operator Crusoe Energy Systems on a new grid-connected campus more than 100 miles east of Wichita Falls. Construction on the 1-gigawatt Childress County campus, being built for an unidentified tech company, is expected to start in Q3 of this year. Continue reading.

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