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

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.
Houston-based Collide plans to use its seed funding to accelerate the development of its GenAI platform for the energy industry. Photo via Getty Images.

Houston energy-focused AI platform raises $5M in Mercury-led seed round

fresh funding

Houston-based Collide, a provider of generative artificial intelligence for the energy sector, has raised $5 million in seed funding led by Houston’s Mercury Fund.

Other investors in the seed round include Bryan Sheffield, founder of Austin-based Parsley Energy, which was acquired by Dallas-based Pioneer Natural Resources in 2021; Billy Quinn, founder and managing partner of Dallas-based private equity firm Pearl Energy Investments; and David Albin, co-founder and former managing partner of Dallas-based private equity firm NGP Capital Partners.

“(Collide) co-founders Collin McLelland and Chuck Yates bring a unique understanding of the oil and gas industry,” Blair Garrou, managing partner at Mercury, said in a news release. “Their backgrounds, combined with Collide’s proprietary knowledge base, create a significant and strategic moat for the platform.”

Collide, founded in 2022, says the funding will enable the company to accelerate the development of its GenAI platform. GenAI creates digital content such as images, videos, text, and music.

Originally launched by Houston media organization Digital Wildcatters as “a professional network and digital community for technical discussions and knowledge sharing,” the company says it will now shift its focus to rolling out its enterprise-level, AI-enabled solution.

Collide explains that its platform gathers and synthesizes data from trusted sources to deliver industry insights for oil and gas professionals. Unlike platforms such as OpenAI, Perplexity, and Microsoft Copilot, Collide’s platform “uniquely accesses a comprehensive, industry-specific knowledge base, including technical papers, internal processes, and a curated Q&A database tailored to energy professionals,” the company said.

Collide says its approximately 6,000 platform users span 122 countries.

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Energy giant Shell lists Houston HQ for sale for $325 million

asset offload

Energy giant Shell has put its U.S. headquarters in Houston’s Energy Corridor on the market and is exploring the sale of its U.S. chemical business.

Green Street News reported Shell just listed its longtime Energy Corridor campus at 150 N. Dairy Ashford Road. The asking price is $325 million, The Real Deal reported. Shell plans to lease back half of the nearly 1.5 million-square-foot Woodcreek campus for 15 years.

A sale-leaseback deal could transform the 43.6-acre campus into a multitenant hub, CoStar News reported.

“Houston is a critical hub for Shell globally and the headquarters of our U.S. businesses,” a Shell spokesperson told the Houston Business Journal. “We remain committed to Houston and are evaluating opportunities to optimize our Woodcreek campus as part of our ongoing review of workplace needs while maintaining a strong presence in the city.”

Shell occupied its first building at the West Houston campus in 1980. The company employs more than 6,000 people in Texas.

Shell is one of the highest-profile businesses occupying space in the Energy Corridor. It’s home to 67,000 workers, more than 27 million square feet of office and mixed-use space, and 3.8 million square feet of retail and restaurant space.

Shell considers $8B sale of chemical business

As the company seeks to unload its Woodcreek campus, The Financial Times reported Shell is looking into selling its U.S. chemical business. The price tag: $8 billion.

Potential buyers include Spring-based ExxonMobil and Houston-based LyondellBasell.

Shell operates four chemical plants in Texas, Louisiana and Pennsylvania, producing an array of chemicals for use in plastics, detergents and pharmaceuticals.

Shell CEO Wael Sawan said last year that the company had spent $45 billion in capital “that is underperforming for us,” split between its chemical business and renewable energy arm.

Shell also agreed to sell its solar and wind power business in India this summer. Read more here.

Trump continues to champion data center growth despite rising voter concerns

Data Development

President Donald Trump, speaking alongside cryptocurrency leaders at the White House, made a statement that Republican and Democratic candidates alike wouldn't touch.

“If I were the mayor of a town or the governor of a state, and I had a chance to get a big plant in, an AI plant or a data center,” Trump said, “I would absolutely want it because the jobs are enormous and the money paid, the taxes paid, are just enormous.”

It's not the kind of message anyone is using in competitive midterm races.

The race to build data centers, which power artificial intelligence and cloud computing, has run aground amid frustration from voters who don't want to live near the massive warehouse campuses. Even the Senate Republicans' campaign arm warned that anger over data centers — some of which dwarf football stadiums and use more energy than small cities — could cost them a seat.

Opposition stretches across the political spectrum because of fears that the behemoths will jack up electricity bills, drain people's water wells, create unhealthy amounts of air and noise pollution and forever change a community's character — all while getting lucrative tax breaks from states competing for their business.

Trump has framed data centers as a necessary component of a top national and economic security priority: winning the AI race against China. However, he also has acknowledged concern over rising electricity bills, previously saying “it’s only fair” for the companies to shoulder their costs.

He also suggested this week that data centers need “a little public relations help.” In recent months, he has gotten tech giants to sign a voluntary pledge to shield U.S. consumers from higher utility bills from data centers, even as he pushes to streamline the process for companies and utilities to build their own power plants.

But building power plants doesn't happen overnight, and the immediate political reality for candidates across the country is far different.

“It is yet another dimension in which the White House appears tone deaf — tone deaf at best and indifferent to the interest of other Republican candidates at worst,” said James Henson, the director of the Texas Politics Project at the University of Texas, Austin, a nonpartisan research organization.

Republican committee issues warning over data centers in Ohio

Statewide candidates from Nevada to Pennsylvania, both Republican and Democratic, are weaponizing data centers against their opponents, and candidates who absorb those attacks are subsequently trying to distance themselves from them.

In Ohio, a data center hot spot with closely contested races for governor and U.S. Senate, the National Republican Senatorial Committee warned in a memo Tuesday that Sen. Jon Husted is vulnerable to losing his seat because of the centers.

Democratic nominee Sherrod Brown is airing attack ads against Husted that call him the “face of data centers in Ohio” as people gather signatures for a statewide referendum to ban their construction.

The Republican memo said it's been a “sleeper issue for the entire election cycle.”

“Brown is using it because it works,” the NRSC said. “More than any other thing in this race, data centers are the anchor hanging around Husted’s neck. If he loses and data centers get the blame, politicians across the country will take notice — and they will not go near the next one.”

The memo suggested voters may balk at Democratic candidates who want to stop data center construction altogether in favor of a Republican candidate who only wants data centers built if a community approves it in a local vote and it pays for its own power, water and other utilities.

Most registered voters oppose building a data center in their area, according to a July Fox News poll.

Still, the issue falls behind other voter concerns, such as cost of living, as November looms. A Quinnipiac Poll conducted in June asked voters what issues were important in deciding who to vote for in U.S. House elections, and about 4 in 10 mentioned AI data centers.

Trump’s statement already put to use in Nevada race

In Nevada, Democrat Aaron Ford quickly tied Trump’s statement to Republican Gov. Joe Lombardo, characterizing them as being in “lockstep on data centers.”

In a statement, Ford said Trump and Lombardo are “Nevada data centers’ biggest cheerleaders” who “only care about catering to their ‘billionaire friends’ while Nevadans pay the price.”

Ford this week unveiled a policy platform in which he said he would halt new state tax breaks for data centers — he estimated them at $200 million currently — while auditing existing projects to ensure they are delivering on promises. He also said he would ensure data centers pay for their electricity needs, do not deplete Nevada’s water supply and help local governments negotiate strong benefits agreements with developers.

Texas' governor changed course and got a jab from Trump

Texas Gov. Greg Abbott, who last November celebrated Google’s announcement of a $40 billion investment there by calling the state “the epicenter of AI development,” is under attack from his Democratic challenger, Gina Hinojosa, over his pursuit of data center development.

Abbott has since changed course by promising tougher action, such as removing the state’s sales tax exemption and holding up projects to review their energy usage.

Trump criticized the shift, saying “I think it's a mistake” in a recent interview with Punchbowl News.

Asked about Trump's support for data centers, Abbott's office said the governor's “top priority is to protect Texans’ safety and quality of life and ensure the integrity of our power grid and water supply.”

“Simply put, Texans must come first,” Abbott's office said.

Data centers complicated Wisconsin governor race

While Trump embraces data centers, even some of his allies are using them for political attacks. U.S. Rep. Tom Tiffany, running for Wisconsin governor, released a TV ad this week branding his Democratic opponent as “Data Center David Crowley.”

The ad includes a clip of Crowley saying Wisconsin could become the “AI and data hub not only for the entire country, but for the entire globe.”

Crowley has said local communities must have veto authority while also calling data centers a part of the modern economy that could bring significant economic benefits to the state.

Tiffany, who Trump has endorsed, has also said positive things about data centers. In January, Tiffany called data centers “exciting new technology,” in an interview with PBS Wisconsin. And last December, he voted for a bipartisan bill known as the SPEED Act, which is designed to accelerate construction of new AI infrastructure projects like data centers. It hasn't passed the Senate.

Neither Tiffany nor Crowley support a moratorium on new data center construction.

Tiffany has called for repealing the state tax incentive for data centers, while Crowley has not. They both have called for stricter regulation.

Crowley, at an event Wednesday where he received the endorsement of the environmental group Clean Wisconsin, downplayed the attacks Tiffany has made against his data center position.

“He’s getting very good at saying one thing and doing something different,” Crowley said, pointing to Tiffany’s votes in support of the SPEED Act.

“What Congressman Tom Tiffany’s doing is lying because he’s trying to run away from his record in Congress,” Crowley said.

Houston startup wins Space Force contract to advance quantum energy generator

quantum contract

Houston-based quantum energy technology startup Casimir Inc. has been awarded an STTR Phase I contract from the U.S. Space Force's SpaceWERX to support the development of the company's solid-state generator for potential use by the Department of the Air Force.

SpaceWERX is the innovation arm of the U.S. Space Force and a division within AFWERX, the incubator and innovation arm of the United States Department of the Air Force. The Air Force Research Laboratory and SpaceWERX, along with many other government agencies, help support innovation through the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) grants and contracts.

As part of the new contract, Casimir will work to refine a fully independent generator. Casimir’s solid-state power technology could support national security missions by providing reliable power even in difficult-to-service environments.

In May, Casimir emerged from stealth, netting a $12 million seed round to commercialize its quantum energy chip. The semiconductor chips can generate power from quantum vacuum fields without the need for batteries or charging. The company aims to include the chips in large-scale energy systems that can power homes, commercial infrastructure and electric vehicles.

“This STTR funds some analysis work to address our proposed scaling approach of making our chips multi-layer to increase aggregate power,” Harold “Sonny” White, founder and CEO of Casimir, tells Energy Capital.

White adds that the company will work with Texas A&M to develop chip planarization techniques to support Casimir’s plans to scale. Additionally, White says the company is working with the U.S. Space Force to explore more applications for its technology.

“Casimir’s technology brings a new capability to the market in the form of our persistent power chips,” White adds. “This approach will be relevant to ultra-low-power electronics, and with the scaling approach we are developing, connected with the STTR work, will eventually be relevant to consumer electronics and beyond.”

Casimir has previously reported that it plans to commercialize its first-generation MicroSparc chip by 2028. The chips are expected to power devices for years without the need for replacements.

The total funding for this project has not yet been disclosed.