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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KBR's Mission Technology Solutions spinoff awarded $1.1B NOAA contract

A Big Deal

Amid a major spinoff, Houston-based KBR's Mission Technology Solutions business has been awarded a five-year contract for up to $1.1 billion from NOAA’s National Weather Service to help predict and combat extreme weather conditions.

Under the follow-on Commercial Data Program National Mesonet Program (CDP NMP) contract, KBR will provide weather and observational data from commercial stations, university and research campuses, and other non-federal providers nationwide. The information collected will assist in predicting severe temperatures and high-impact weather conditions like extreme storms.

"This award underscores KBR's proven track record of delivering vital data that strengthens national forecasting capabilities," Todd May, KBR’s senior vice president of Mission Technology Solutions, said in a news release.

According to a separate release from NOAA, the contract expands upon KBR's existing relationship with the agency. KBR will work with about 70 private industry partners on services such as data recording, collection, aggregation and processing, and will lead the CDP NMP's "network of networks."

“NOAA gathers environmental information from a wide variety of sources, and a growing list of private industry partners have joined our agency to collect this vital data,” Ken Graham, director of NOAA’s National Weather Service, said in the release. “This agreement streamlines the process that turns raw data into the gold-standard forecasts that Americans depend on.”

KBR will utilize its Speed to Mission ImpactSM technology for the project to supply data from across regions, measurement types, and system configurations. Both KBR and NOAA say the expanded data collection contract will help the agency create more accurate and timely forecasts, particularly for severe weather and extreme events, while also creating a path for new weather-observation technologies.

KBR has supported the CDP NMP for more than nine years. The program will be managed in Greenbelt, Maryland.

"We're driving expanded integration of commercial sensor and data sources into this platform and are honored to know our work helps forecasters give their communities earlier warnings and more time to prepare for dangerous weather,” May added in a release.

KBR’s Mission Technology Solutions business will be rebranded as Trinzic after its planned spin-off, the company announced last month. The spin-off is expected to close in January 2027.

Trinzic will work as an independent, publicly traded company focused on technology and engineering services for the space and national security sector. KBR will remain a separate publicly traded company that will focus on sustainable technology and services to support the energy transition.

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This article originally appeared on InnovationMap.com.

Houston researchers map data center growth, trends in new interactive platform

data center development

Have you ever wondered why data centers are located where they are?

Energy experts at Rice University’s Center for Energy Studies (CES) have developed a tool to help answer that question.

Rice researchers at the CES, part of Rice’s Baker Institute for Public Policy, have created an interactive map to track data center growth and energy infrastructure in the United States.

Kenneth B. Medlock III, Miaomiao Rimmer, Anmol Mital and Beck Edwards developed the tool, known as the U.S. Data Centers and Infrastructure map. It aims to provide a comprehensive view of the factors shaping where data centers are located, from power and water costs to infrastructure, public policy and local sentiment.

“The map lets you see why data centers are being built where they are by connecting the dots between infrastructure, power costs, water availability, public policy and public sentiment across different regions,” Medlock, senior director at CES, said in a news release. “You can zoom out and look at the whole U.S. to easily realize why data centers locations are being chosen—the price of power and water matters.”

The tool maps information on data center locations against other factors like energy, water, economics and politics. It also shows existing infrastructure in the area, including electric transmission lines, power plants, and fiber-optic networks, and provides information on water stress, electricity prices and natural gas prices.

According to Rice, the map will be updated in real time and currently includes information on existing data centers and proposed data centers.

Additionally, the map provides county-level analyses of news coverage and media to explore local attitudes towards the development of data centers in communities. Users can also explore political and demographic information.

According to the Pew Research Center, most data centers that are being built will appear in rural areas, with Virginia, Texas and Georgia leading the way in the number of planned facilities. Pew’s 2026 findings also noted that 38 percent of Americans live within 5 miles of at least one operational data center.

Meanwhile, Houston and Texas are poised for continued data center growth. Other reports predict that Houston’s data center capacity could more than double by 2028. Texas is home to an estimated 400-plus data centers, according to commercial real estate services provider CBRE.

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.

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