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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UH team lands $2.9M DOE grant to develop next-gen magnets with AI

critical minerals

University of Houston researchers are leading an effort to find alternatives to a key element of the U.S. economy.

A UH-led coalition is exploring the use of AI to design and manufacture next-generation permanent magnets for the energy and industrial sectors. The project seeks to develop new, more sustainable magnets that reduce U.S. reliance on vulnerable foreign sources of critical minerals, primarily China.

A nearly $2.9 million grant from the U.S. Department of Energy supports the work.

“Rare earth elements, critical minerals, and magnets are indispensable to American energy, industry, and national security,” Conner Prochaska, director of the Advanced Research Projects Agency–Energy, said in a news release. “These projects will accelerate domestic mineral discovery and develop ultra-powerful magnets to mobilize U.S. critical mineral reserves, safeguard supply chains, and protect American energy and economic interests.”

Over the three-year grant period, principal investigator Jakoah Brgoch, a chemistry professor at UH, will head the Guided AI for Magnetic Boride/Carbide Intermetallic Technologies (GAMBIT) project. Brgosh was one of seven new senior members from UH named to the National Academy of Inventors earlier this year.

Other members of the team include Joshua Bocarsly, an assistant professor in the UH chemistry department; scientists at Rice University; and Houston-based startup Newfound Materials, which occupies space at Greentown Labs.

The UH-led team aims to surpass the properties of neodymium iron boron, the current industry-standard material for high-performance permanent magnets. These magnets are vital components in electric vehicles, industrial motors, generators, electronics and other advanced technologies.

“Strong magnets are used all over our economy. For example, many modern air-conditioning systems rely on permanent-magnet motors to drive compressors and blower fans,” Brgoch said.

“This has been a longstanding challenge to think about how we replace these magnets with high-performing and more reliable materials, and optimization by just replacing elements is not working,” Brgoch added. “Our goal is to use AI to find entirely new materials while simultaneously balancing these supply constraint concerns.”

The research team will work on discovering and testing potential magnet replacements. According to UH, the project’s ultimate goal is to commercialize the magnets through a new startup or by expanding Newfound Materials’ business units. The local startup has developed a predictive engine for materials research and development.

10 can't-miss events at Houston Energy and Climate Week 2026

where to be

Editor's note: Houston Energy and Climate Week returns for its third year, Sept. 12–18, with panels, happy hours, pitch days and tours focused on the energy transition.

The Ion District will host many of the week's events. Here are details on some can't-miss, signature events and how to register. Find the full schedule here. Please note: this article may be updated to add more events.

Sept. 13 — The & Awards

Kick off the week by celebrating Houston honorees leading the future of energy at the & Awards. The & Awards will honor Zay Zeidman, chairman of Houston First and managing partner of Altitude Ventures; The University of Houston's Renu Khator and Ramanan Krishnamoorti; Maryanne Maldonado, CEO of the World Affairs Council; and Fervo Energy co-founders Tim Latimer (CEO) and Jack Norbeck (CTO). The inaugural posthumous Lifetime Ambassador Award will honor former Houston Mayor Sylvester Turner, and this year’s Allies in Energy grant recipients will also be recognized. The evening will include a fireside chat, an immersive gallery, live music, passed hors d'oeuvres, Champagne and plenty of networking opportunities.

This event is Sunday, Sept. 13, from 6-9 p.m. at ARTECHOUSE Houston. Register here.

Sept. 14 — Brews on the Bayou

Head to Saint Arnold Brewery for a more laid-back kickoff event. Grab a beer and take in a live conversation with Paul Hobby, managing director of Genesis Park, and Katie Mehnert, CEO of The Bee Suite and co-founder of HECW. Rice University's Aaron Pomerantz will moderate the discussion. Then hear a live performance from AY Young.

This event is Monday, Sept. 14, from 6-9 p.m. at Saint Arnold Brewery. Register here.

Sept. 14–18 — Sip For Sustainability

Enjoy a signature cocktail at five H Town Restaurant Group spots each night of Houston Energy and Climate Week. A portion of every purchase will go toward Allies in Energy, which supports education, collaboration, and community programs that drive a more sustainable future. Participating eateries include Hugo's, Xochi, Uber, Zaranda and Caracol.

These events begin Monday, Sept. 14, from 3-5 p.m. Find more information on each day's happy hour here.

Sept. 15 — HTX Tech Tours

HECW will present two Tech Tours this year, offering attendees a closer look at the region's climatech scene. The Metro Innovation Tour & Market will visit Sugar Land Town Square, Shell Technology Center Houston, SLB West Houston Campus, University of Houston at Sugar Land, Ambrosia Space, NanoTech Materials and Syzygy Plasmonics. The Bay City South Innovation Tour will visit Sugar Land Town Square and Erthos Project Bravo in Matagorda County. Both tours will head to Astros Night at Daikin Park to wrap up the day.

These events are Tuesday, Sept. 15. Find more information here.

Sept. 15 — Meet the Activate Houston Cohort 2026 Fellows

Meet Activate's latest cohort, which was named this summer, and learn more about their hardtech and climate-focused solutions. Also meet founders from the organization’s 2025 cohort during Houston Energy and Climate Startup Week.

This event is Tuesday, Sept. 15, from 5-7 p.m. at the Ion. Register here.

Sept. 15 – Cypher Pilotathon and Startup Showcase

Grab coffee and take in keynotes and panels featuring leaders from Amperon, Aramco Ventures, New Climate Ventures, Syzygy Plasmonics and many others during this signature event, this year under the theme “The NEW Energy Industrial Revolution.” After lunch, hear pitches from 31 ventures during the Pilotathon. This year's event will also feature a startup showcase with interactive booths where attendees can meet founders and see demonstrations, plus an industry hub where corporates and investors can engage with emerging technologies and identify the pilots they want to move forward with.

This event is Tuesday, Sept. 15, from 9 a.m.-5 p.m. at POST Houston. Get tickets here.

Sept. 15 — Houston Astros Energy Night

Catch a game and chat with fellow clean energy enthusiasts during Houston Astros Energy Night. The 'Stros take on the Kansas City Royals. A bonus? Dollar Hot Dog Night at Daikin Park.

This event is Tuesday, Sept. 15, starting at 7:10 p.m. at Daikin Park. Get tickets here.

Sept. 16 — Greentown Labs Climatech Summit

Entrepreneurs, investors, corporate leaders, policymakers and philanthropists will head to Houston this month for the annual Greentown Climatetech Summit. Hear from Greentown CEO Georgina Campbell Flatter and keynote speaker Tim Latimer, CEO and co-founder of Houston geothermal unicorn Fervo Energy, plus numerous other engaging panels at the Ion. Then head to Greentown Labs for an open house and startup showcase, where attendees can meet some of the climatech incubators' members, before taking in the startup pitch competition followed by happy hour over at the Continental Club.

This event is Wednesday, Sept. 16, from 8 a.m.–9 p.m. at multiple locations. Register here.

Sept. 17 — Rice Alliance Energy Tech Venture Forum

Hear from clean energy startups from around the world at the 23rd annual Energy Tech Venture Forum. In addition to the pitches, this event will also host keynotes from Sean Maher, chief economist at Phillips 66, and Ira Ehrenpreis, founder and managing partner of DBL Partner. Panels will focus on technologies, infrastructure and commercialization strategies needed to deploy breakthrough innovations at scale. Following the event, the Rice Alliance will also name its annual “Most Promising” startup.

This event is Thursday, Sept. 17, from 7:30 a.m.-5 p.m. at Rice University’s Jones Graduate School of Business. Register here.

Sept. 18 — Halliburton Labs Finalists Pitch Day

Hear from Halliburton Labs' latest cohort of entrepreneurs. The incubator aims to advance the companies’ commercialization with support from Halliburton's network, facilities and financing opportunities. Its latest cohort includes one company from Texas.

This event is Friday, Sept. 18, from 8 a.m.-noon at The Ion. Register here.

UH report says CO2 technology could unlock 137B barrels of U.S. oil

oil recovery

A new report from the University of Houston estimates that a method known as carbon dioxide-enhanced oil recovery (CO2-EOR) could recover roughly 137 billion barrels of U.S. oil—with Texas and the Gulf Coast poised to play a major role.

A UH Energy-produced white paper, titled “Revitalization of Mature Oil Fields: Opportunities and Challenges of CO2-EOR,” looks at how CO2-EOR could increase U.S. energy supply, reduce carbon emissions and lower the carbon intensity of oil production.

CO2-EOR injects pressurized carbon dioxide into mature oil wells to loosen and push oil trapped underground toward the production wells, allowing operators to extract oil typically left behind. The process permanently stores some CO2 underground, reducing carbon emissions and carbon intensity.

“Injected CO2 works to revitalize mature oil fields by reducing oil viscosity, improving sweep efficiency and restoring reservoir pressure, resulting in incremental oil production beyond primary and secondary recovery,” the report reads. “CO2-EOR also supports permanent carbon storage and by virtue of this will produce uniquely low-carbon intensity oil for global markets.”

Authored by Charles McConnell, executive director of UH's Center for Carbon Management in Energy, and Zhiyuan Li, a UH petroleum engineering doctoral candidate, the paper says that much of the opportunity lies right under the feet of Texas oil companies.

Texas and the Gulf Coast, including its offshore resources, have half of the nation's oil resources considered favorable for the CO2-EOR technology, the report says. According to UH, conventional U.S. oil reservoirs contain 624 billion barrels, with 434 billion barrels still underground, including about 20 billion barrels of proven reserves.

Still, the paper argues that the economics behind CO2-EOR need to be considered. The process’ success depends on a number of factors, including costs of carbon capture, field redevelopment, operations, monitoring, transportation and available tax incentives, according to UH.

Logistically, developing CO2-EOR operations out of older wells and infrastructure presents pros and cons. While using older wells can be more economical, aging infrastructure may require more frequent monitoring, inspection, repair or re-plugging, according to UH.

Ultimately, the report recommends focusing CO2-EOR development on mature oil fields with existing infrastructure, well-understood geology and reliable CO2 supplies. This approach, UH says, could help extend the productive life of existing oil fields while supporting “lower carbon intensity oil for global markets and a significant contribution to energy security.”

Read the full report here.

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