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

AI for energy

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.

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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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TotalEnergies expands solar joint venture with $1.2B portfolio in Texas, Ohio

solar expansion

TotalEnergies, a French company whose U.S. headquarters is in Houston, announced this month that it is expanding its renewable energy joint venture with New York-based investment firm KKR by adding 700 megawatts of utility-scale solar projects.

The deal will add three utility-scale solar assets in Texas and Ohio, which are expected to reach commercial operation by Q1 2027, according to a news release from the company. The portfolio is valued at $1.2 billion.

The 50/50 joint venture between TotalEnergies and KKR currently holds 1.4 gigawatts of renewable energy and will grow to 2.1 gigawatts.

The new deal is expected to close this year. Once completed, TotalEnergies will operate the assets. The electricity generated from the solar projects will be sold to third parties, the company reports.

The companies originally formed the joint venture about a year ago when TotalEnergies sold KKR a 50 percent stake in a North American solar portfolio valued at $1.25 billion. The deal originally included six utility-scale solar assets, primarily located in the U.S.

“TotalEnergies is a renewable energy industry leader globally, and we are thrilled to establish this joint venture with the TotalEnergies team to support their renewables business," Cecilio Velasco, managing director KKR, said in a release last year. “We have long been investors in renewables through our infrastructure platform, having committed more than $23 billion to date in energy transition investments. TotalEnergies’ North American solar portfolio is a great fit for us, representing high-quality renewable energy assets with long term contracts.”

TotalEnergies reports that by June 2026 it held more than 37 gigawatts of gross renewable power generation capacity. It aims to achieve over 100 terawatt-hours of net electricity production by 2030.

The company signed a major power purchase agreement with Google earlier this year. Through the deal, TotalEnergies will supply the tech giant with 1 gigawatt of solar power for its data centers in Texas over a 15-year span.

However, the company also recently redirected nearly $1 billion in capital away from wind energy projects and "decided to renounce offshore wind development in the United States." Read more here.

Houston researchers develop compact carbon capture tech for data centers

AI emissions

Two scientists from the University of Houston have been experimenting with new carbon capture systems that fit inside a standard shipping container, which have the potential to make eliminating carbon output from industrial sites much easier.

The capture of industrial carbon is an important complement to the fight against climate change, as well as winning tax credits for businesses that use carbon capture technology.

The problem is that such systems are often measured in acres, making them expensive to build and extremely power-hungry to actually use. UH Engineering Professor Mim Rahimi and former UH Ph.D. student Ahmad Hassan (now a postdoctoral associate at Harvard) have managed to fit their new system, the Small Modular Electrochemical Container (SMECs), inside a standard 40-foot shipping crate, making them compact and modular enough to be installed almost anywhere for operations of all sizes. Their research was recently published in the journal Environmental Science & Technology.

“With a conventional system, you’re building a 130-foot-tall structure designed for a specific power plant. With our technology, we can adjust the capacity by simply turning containers on or off,” Rahimi said in a news release. “That flexibility is particularly important for data centers, where electricity can come from a combination of natural gas and renewable sources.”

Rahimi and Hassan used simulated gas models to show that under optimal conditions, the SMEC used electrochemically mediated amine regeneration (EMAR) cells developed in Rahimi’s lab to capture 90 percent of carbon under optimal conditions through 300 cycles over 50 hours.

Encouraged, the team then modeled a 360-megawatt natural gas power plant associated with OpenAI’s Stargate AI data center project in Abilene, Texas. In addition to the savings on infrastructure costs, 20 of the researchers’ shipping container systems were able to capture 98 percent of carbon from Stargate’s 875-acre campus based on the model.

The looming energy costs and subsequent carbon emissions from data centers are a real concern. Estimates from the U.S. Department of Energy hypothesize that 12 percent of America’s energy needs could be gobbled up by the centers as soon as 2028. That is a massive new source of carbon. The flexibility of the SMEC means they can be deployed wherever the centers spring up.

“We’re taking a technology that traditionally requires enormous infrastructure and finding a way to fit it inside a shipping container,” Rahimi added in the release. “That opens up entirely new possibilities for how and where carbon capture systems can be used.”

In the future, the researchers say they plan to look at ways to adapt the technology to capture carbon dioxide directly from the atmosphere.

Hertha Metals breaks ground on $100M high-purity iron factory in Conroe

coming soon

Shortly after announcing a $133.65 Series A funding round, Conroe-based Hertha Metals broke ground Oct. 8 on a $100 million factory that will produce steel-grade and magnet-grade high-purity iron.

Hertha’s Chalyx plant, located in Conroe, will manufacture a total of about 10,000 metric tons per year of magnet-grade and steel-grade high-purity iron. The factory will use Hertha’s single-step process to generate high-purity iron for rare-earth-magnet and steel manufacturers in the U.S.

Hertha says Chalyx will be the first U.S. commercial plant for production of magnet-grade high-purity iron.

Chalyx is being built next to Hertha’s headquarters and its Pi100 pilot plant, which will remain in operation. Chalyx and Pi100 will form the first modern-day iron and steel “innovation complex” in the U.S., the company says.

“I founded Hertha Metals because I believed we could significantly improve how the world makes iron and steel from ore, and that an industry so fundamental to our future still had enormous room for invention,” Laureen Meroueh, founder and CEO of Hertha, said in a press release.

The 4-year-old startup says the Chalyx complex will lay the foundation for its first 500,000-ton-per-year steel mill.

Chalyx’s first priority is making high-purity iron for U.S. manufacturers of rare-earth magnets, Hertha says. These magnets are critical components for electric vehicles, data centers, wind turbines and defense systems.

China produces an estimated 94 percent of high-purity iron for rare-earth magnets, according to Hertha.

Aside from iron for rare-earth magnets, Chalyx will make iron and steel for pilot projects in the steel industry.

The plant is expected to come online in late 2027, with production of magnet-grade high-purity iron starting in early 2028.

Today, Hertha employs 32 people, the company says. Once it’s fully operating, the Chalyx plant will employ about 50 people.

Just ahead of the groundbreaking, Hertha announced the $133.65 million Series A round, co-led by Khosla Ventures and Doerr Capital. The round included a $65 million equity investment from the Pentagon.

“Iron and steel have shaped human progress for thousands of years. And I believe there is still an enormous amount left to invent,” Meroueh said at the groundbreaking ceremony.

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