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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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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