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

fresh funding

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-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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A new joint venture will work on four projects supplying 5 gigawatts of power from combined-cycle power plants for the ERCOT and PJM Interconnection grids. Photo via Getty Images.

NRG Energy forms joint venture to build power plants for ERCOT and AI-driven demand

teaming up

Houston-based power provider NRG Energy Inc. has formed a joint venture with two other companies to meet escalating demand for electricity to fuel the rise of data centers and the evolution of generative AI.

NRG’s partners in the joint venture are GE Vernova, a provider of renewable energy equipment and services, and TIC – The Industrial Co., a subsidiary of construction and engineering company Kiewit.

“The growing demand for electricity in part due to GenAI and the buildup of data centers means we need to form new, innovative partnerships to quickly increase America’s dispatchable generation,” Robert Gaudette, head of NRG Business and Wholesale Operations, said in a news release. “Working together, these three industry leaders are committed to executing with speed and excellence to meet our customers’ generation needs.”

Initially, the joint venture will work on four projects supplying 5 gigawatts of power from combined-cycle power plants, which uses a combination of natural gas and steam turbines that produce additional electricity from natural gas waste. Electricity from these projects will be produced for power grids operated by the Electric Reliability Council of Texas (ERCOT) and PJM Interconnection. The projects are scheduled to come online from 2029 through 2032.

The joint venture says the model it’s developing for these four projects is “replicable and scalable,” with the potential for expansion across the U.S.

The company is also developing a new 721-megawatt natural gas combined-cycle unit at its Cedar Bayou plant in Baytown, Texas. Read more here.

The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. Photo via Getty Images

NOV's Houston accelerator names inaugural cohort to propel digital transformation in energy

building tech

Houston-based Venture Builder VC has kicked off its NOV Supernova Accelerator and named its inaugural cohort.

The program, originally announced earlier this year, focuses on accelerating digital transformation solutions for NOV Inc.'s operations in the upstream oil and gas industry. It will support high-potential startups in driving digital transformation within the energy sector, specifically upstream oil and gas, and last five months and culminate in a demo day where founders will present solutions to industry leaders, potential investors, NOV executives, and other stakeholders.

The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. They will offer specific companies access to NOV’s corporate R&D teams and business units to test their solutions in an effort to potentially develop long-term partnerships.

“The Supernova Accelerator is a reflection of our commitment to fostering forward-thinking technologies that will drive the future of oil and gas,” Diana Grauer, director of R&D of NOV, says in a news release.

The cohort’s focus will be digital transformation challenges that combine with NOV’s vision and include data management and analytics, operational efficiency, HSE (Health, Safety, and Environmental) monitoring, predictive maintenance, and digital twins.

Startups selected for the program include:

AnyLog, an edge data management platform that replaces proprietary edge projects with a plug-and-play solution that services real-time data directly at the source, eliminating cloud costs, data transfer, and latency issues.
Equipt, an AI-powered self-serve platform that maximizes Asset & Field Service performance, and minimizes downtime and profit leakages.
Geolumina's platform is a solution that leverages data analytics to enhance skills, scale insights, and improve efficiency for subsurface companies.
Gophr acts as the "Priceline" of logistics, using AI to provide instant shipping quotes and optimize dispatch for anything from paper clips to rocket ships.
IoT++ simplifies industrial IoT with a secure, AI-enabled ecosystem of plug-and-play edge devices.
Kiana's hardware-agnostic solution secures people, assets, and locations using existing Wi-Fi, Bluetooth, UWB, and cameras, helping energy and manufacturing companies reduce risks and enhance operations.
Novity uses AI and physics models to accurately predict machine faults, helping factory operators minimize downtime by knowing the remaining useful life of their machines.
Promecav is redefining crude oil conditioning with patented technology that slashes water use and energy while reducing toxic exposure for safer, cleaner, and more sustainable oil processing.
RaftMind's enterprise AI solution transforms how businesses manage knowledge. Our advanced platform makes it easier to process data and unlock insights from diverse sources.
Spindletop AI uses edge-based machine learning to make each well an autonomous, self-optimizing unit, cutting costs, emissions, and cloud dependence.
Taikun.ai combines generative AI with SCADA data to create virtual industrial engineers, augmenting human teams for pennies an hour.
Telemetry Insight’s platform utilizes high-resolution accelerometer data to simplify oilfield monitoring and optimize marginal wells for U.S. oil and gas producers via actionable insights.
Visual Logging utilizes fiber optic and computer vision technology to deliver real-time monitoring solutions, significantly enhancing data accuracy by providing precise insights into well casing integrity and flow conditions.

“Each startup brings unique solutions to the table, and we are eager to see how these technologies will evolve with NOV’s support and expertise,” Billy Grandy, general partner of Venture Builder VC, says in the release. “This partnership reflects our ongoing commitment to nurturing talent and driving innovation within the energy sector.”

Venture Builder VC is a consulting firm, investor, and accelerator program.

“Unlike mergers and acquisitions, the venture client model allows corporations like NOV to quickly test and implement new technologies without committing to an acquisition or risking significant investment,” Grandy previously said about the accelerator program.

Accenture's Houston hub will introduce a new generative AI studio. Photo via Getty Images

Global corporation to open generative AI studio geared toward energy, chemicals industries in Houston

coming soon

Accenture has announced a new studio coming to Houston that will help its industrial clients with generative artificial intelligence.

The company announced that it will launch a network of studios across North America that will work with clients to explore generative AI applications in business. The initiative will support companies in navigating use cases, conducting AI pilots, and scaling programs. The studios will be in Accenture Innovation Hubs in Chicago, Houston, New York, San Francisco, Toronto and Washington, D.C.

“The studios are designed to help our clients move from interest to action to value, in a responsible way with clear business cases,” Manish Sharma, North America CEO of Accenture, says in the news release. “We are constantly refreshing our learnings from more than 3,000 client conversations on generative AI this year. We use these conversations as demand signals to understand the real-world challenges our clients face and invest in the areas of greatest need and opportunity.”

Each of the studios will have a specific industrial focus as well as broad support. Houston's location will specialize in Industry X, chemicals, energy and utilities industries. The other five markets, according to Accenture, are as follows:

Chicago will specialize in financial services, health, life sciences, consumer goods and services, Industry X and manufacturing.
New York will specialize in life sciences and financial services.
San Francisco will specialize in software and platforms and communications, media, and technology.
Toronto will specialize in financial services, retail, health, and public service.
Washington, D.C. will specialize in health, public service, including federal government services.

The initiative is a part of Accenture’s $3 billion investment in data and AI, and each of the studios will leverage Accenture’s top data and AI experts and partners, including expertise from within Accenture's Center for Advanced AI. Resource access also includes more than 1,450 patents and patent applications in AI solutions, as well as learnings from more than 300 active generative AI projects the company has worked on.

“Clients are ready to move beyond generative AI experimentation. They want to harness generative AI at scale to fundamentally reinvent their business,” Sharma adds. “Clients will come to the studios to access the latest innovations, experiment with new technologies, tools, and approaches to advance their skills, and develop roadmaps to adopt generative AI at scale.”

As the world becomes more reliant on renewable energy, artificial intelligence is proving to be a major game-changer. Photo via Getty Images

How AI technology is advancing a low-carbon future

the view from heti

In the midst of a continuously changing global energy landscape, industry experts, leading energy companies and corporations have rallied together for one common goal: to reach net zero by 2050. As the demand for energy increases, so does the urgency to develop more energy efficient technologies that reduce emissions.

As the world becomes more reliant on renewable energy, artificial intelligence is proving to be a major game-changer. AI is one of the world’s largest disruptors in tech to date with some tech giants pouring millions into research surrounding AI technologies.

While artificial intelligence may not be the first thing to come to mind when talking about the energy industry, it’s already proven its value in fueling the energy transition in multiple domains: improving renewable energy forecasting, grid operations, materials innovation and more. Companies like Accenture have shown how artificial intelligence can play a huge role in steering the energy transition toward a more efficient future.

As a technology services provider, Accenture bridges the gap between technology and human ingenuity to solve some of the world’s most complex issues. With more than 15 years of leadership in metaverse-related technology and more than 1,400 patents, the Accenture Metaverse team brings together metaverse-skilled professionals and market-leading capabilities across Accenture.

The Dublin, Ireland-based company recently announced plans to invest more than $3 billion in artificial intelligence and double its AI-related staff to accommodate demands. Accenture also plans to use generative AI for client work and launch an AI Navigator for Enterprise platform to help guide AI strategy, use cases, decision-making and policy.

With decades of investments and patents, Accenture is no stranger to AI. The company also recently introduced their Net Zero Metaverse, an immersive experience that allows users to explore the future of energy, at the third annual Future of Global Energy conference hosted by the Greater Houston Partnership and the Houston Energy Transition Initiative presented by Chevron. The innovative software system consists of multiple digital worlds including a Charge Stations of the Future, Energy Transition Igloo, a Space Lab and Hydrogen Heights, a renewable-powered neighborhood named after The Heights of Houston.

While Accenture is helping to shift to a more sustainable future, three ways that AI software has already transformed the way we generate, distribute and consume energy are through smart grids, optimized electricity consumption and electricity mobility.

Smart Grids
AI technology can help optimize the efficiency of smart grids, reducing the number of outages and mitigating impact for both residential and commercial customers. In its ability to analyze data collected by smart grids, AI can predict the demand of energy and adjust the flow of electricity accordingly.

Optimized electricity consumption
According to the World Economic Forum, reducing carbon emissions in buildings will be critical to achieving net zero emissions by 2050; buildings represent 39% of global greenhouse gas emissions. AI powered smart buildings and homes can help to reduce energy consumption and operating costs. With the ability to analyze data from sensors and other sources, AI software can identify patterns, predict equipment failures and maintenance needs and help building managers schedule maintenance repairs more efficiently.

Electricity mobility
According to the Congressional Budget Office, transportation is the largest source of greenhouse gas emissions in the United States with CO2 emissions representing about 97% of the global warming potential of all greenhouse emissions. AI software plays a key role in monitoring driving conditions, speed and load levels predicting the most efficient way to use available energy. AI software also helps in safety management and aids in the race to a pollution-free eco-friendly environment.

While AI technology is still advancing, and there is uncertainty in its accuracy, this breakthrough technology is shaping the future of society offering new approaches to optimize energy systems’ operation and reliability.

Learn more about what companies like Accenture are doing with AI technologies.

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This article originally ran on the Greater Houston Partnership's Houston Energy Transition Initiative blog. HETI exists to support Houston's future as an energy leader. For more information about the Houston Energy Transition Initiative, EnergyCapitalHTX's presenting sponsor, visit htxenergytransition.org.

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Rice, UH join major quantum, nuclear energy initiatives

energy impact

Rice University and the University of Houston will be playing a part in the future of energy in Texas and beyond, as Rice has joined the U.S. Department of Energy Quantum Science Center and UH has been added to the Texas Nuclear Alliance.

Rice’s role with the DOE Quantum Science Center will expand the university’s work in helping to develop “fault-tolerant quantum computers capable of solving scientific problems,” according to Rice. Tirthak Patel, an assistant professor of computer science, will develop and evaluate quantum error-correction decoding methods on high-performance computing platforms. Patel’s team will receive $900,000 over 5 years from a DOE-funded center at Oak Ridge National Laboratory.

The Quantum Science Center was established in 2020 under the National Quantum Initiative Act, and brings together national laboratories, universities and industry partners like IBM, AMD, IQM, Quantinuum and Riverlane, and others to advance quantum information science. The Quantum Science Center is one of the DOE’s five National Quantum Information Science Research Centers, and has planned funding of $125 million over 5 years.

“Reliable error correction is one of the biggest challenges in making quantum computing useful for accelerating scientific discovery,” Patel said in a news release. “Our work is focused on developing methods that can scale to future systems and support practical scientific applications.”

Meanwhile, as power demand continues to rise in Texas and North America, the Texas Nuclear Alliance brings industry, academic, and government leaders together to advance nuclear technologies to meet growing energy demands, support economic efforts, bolster domestic manufacturing, and protect overall energy security.

UH brings expertise to the Texas Nuclear Alliance from UH Energy, the Texas Center for Superconductivity at UH (TcSUH), and the Advanced Manufacturing Institute (AMI). UH says that 11 of its 16 colleges will contribute research to the alliance.

“Texas and the University of Houston have long led the nation in energy innovation and research,” Ramanan Krishnamoorti, vice president of energy and innovation, said in a news release. “As demand for reliable, affordable and secure energy continues to grow, advanced nuclear technologies will become increasingly important. The University of Houston is uniquely positioned to contribute through world-class research and deep industry partnerships that help transform breakthrough discoveries into real-world solutions. We look forward to working with the Texas Nuclear Alliance to accelerate technologies that will shape the future of the energy industry.”

Projects from both Rice and UH were selected this week to participate in the DOE's Genesis Mission. Read more here.

4 Houston researchers awarded projects in DOE's Genesis Mission

federal funding

The U.S. Department of Energy has named the nearly 300 projects selected under the Trump Administration's Genesis Mission, which aims to address some of the largest science and technology challenges in the country. The group features four projects from Houston universities and companies.

The initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security, according to a release.

The selected projects feature 87 led by DOE and National Nuclear Security Administration (NNSA) National Laboratories, 168 led by universities, 19 led by companies and 4 led by nonprofit organizations—totalling 342 participating institutions.

“America has no shortage of bold ideas or talented scientists, and the response to the Genesis Mission proves that,” U.S. Secretary of Energy Chris Wright said in a news release. “The 278 projects selected today represent the very best of our nation’s scientific enterprise. The remarkable number of high-quality proposals we received demonstrates that America’s innovation pipeline is strong, and it points to even greater opportunities for future investment and continued expansion of the Genesis Mission portfolio.”

Twelve Texas-based projects were selected among the 278. The Houston projects and their researchers include:

Caroline Ajo-Franklin

Ajo-Franklin recieved a Phase I grant for her project "Predictive AI to Map Point Mutation Effects on Protein Function: Measurement and Biosynthesis of Isoprenoids." Ajo-Franklin is a professor of biosciences at Rice University, a CPRIT Scholar in Cancer Research and member of the Rice Synthetic Biology Institute. The project aims to accelerate the engineering of microbes that can produce isoprenoids, which are natural compounds that could replace petroleum-derived fuels, solvents and materials.

“This project creates a continuous feedback loop in which AI guides experiments and each experiment generates more detailed data to better hone the AI model,” Ajo-Franklin said in a news release. “In addition, it demonstrates the extraordinary star power Rice has recruited in protein engineering and synthetic biology.”

Anastasios Kyrillidis

Kyrillidis recived a Phase I grant for his project "Cracking the VQA Optimization Bottleneck: AI Methods for Quantum Chemistry and Materials." Kyrillidis is the Noah Harding Associate Professor of Computer Science at Rice and a member of the Ken Kennedy Institute. The project aims to develop AI tools to resolve bottlenecks in quantum computing for chemistry and materials research.

“Our goal is to replace fragile, hand-tuned optimization methods with intelligent systems that can learn from quantum computations while still operating within frameworks that provide strong mathematical guarantees,” Kyrillidis added in the release.

Myoungkyu Lee

Lee received a nearly $750,000 Phase I grant for his project "Physics-Informed AI Surrogates for Turbulent Forced Convection in Energy System." Lee is an assistant professor of mechanical aerospace engineering at the University of Houston. Lee will collaborate with researchers from Lawrence Livermore National Laboratory and University of Pennsylvania on the project and develop artificial intelligence to accelerate the design of materials for advanced nuclear fission and fusion reactors.

“The goal is to develop a tool that runs much faster than today’s most detailed simulations while keeping errors small,” Lee said in a news release. “If successful, the approach could support better heat-transfer predictions for molten-salt reactor design and provide a starting point for studying heat removal in fusion blankets. This is one contribution among many toward reliable, carbon-free energy.”

Amit Padhi

Padhi recieved a grant for his project "Probabilistic Inference of Subsurface Fracture Connectivity for Stimulation Control with Physics-Informed AI." Padhi is a scientific advisor for Halliburton.

The DOE first called for applications for the Genesis Mission in March. At the time, the DOE shared that it would grant approximately $293 million to the selected teams via Phase I awards, ranging from $500,000 to $750,000 for nine-month project periods, and Phase II awards, for $6 million to $15 million over a three-year project period.

Since then, however, the initiative has grown with 15 federal agencies now granting research awards and funding opportunities under the Genesis umbrella. The White House announced this week that it had secured more than $5 billion in federal commitments to expand the initiative.

SLB teams with Liberty Energy on modular power for AI data centers

ai alliance

Houston-headquartered SLB and Denver-based Liberty Energy Inc. announced a strategic agreement this month to support the rapid growth of new data center capacity.

Under the agreement, SLB will supply modular data center infrastructure and oversee large-scale execution, while Liberty will provide modular power generation systems and behind-the-meter power management technology for developers looking to add capacity. According to Reuters, the power will come from natural gas generation.

“The bottleneck in AI infrastructure is no longer just compute. It is the ability to deliver infrastructure and power on the timelines the market now demands,” Gavin Rennick, president of SLB’s New Energy and Industrial business, said in a news release. “By bringing together complementary infrastructure and power capabilities, we will help developers accelerate deployment of new data center capacity.”

The companies seek to specifically offer the modular technologies in areas without traditional grid connections or where grid capacity is limited.

They also aim to improve the "efficiency, flexibility and environmental performance of future data center energy systems," potentially through solutions like hybrid power systems and digital energy management, according to the news release.

Goldman Sachs estimates that U.S. data center capacity will more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027. Other reports predict that Houston and Texas will be home to a significant portion of the data center boom, with capacity in the city and the state also expected to double in the next few years.

“The scale and complexity of AI energy infrastructure is fundamentally changing how power systems are built and deployed,” Ron Gusek, CEO of Liberty Energy, added in the release. “Liberty’s comprehensive power service platform is engineered to meet this transition, as customers increasingly prioritize tailored, integrated solutions. Building on our long-standing relationship with SLB, we are excited to bring power solutions that address immediate capacity constraints while supporting the next generation of energy systems.”

SLB sold its onshore hydraulic fracturing business in the United States and Canada to Liberty Energy in December 2020 in exchange for a 37 percent equity interest in the company.

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