Houston startup Collide secures $5M to grow energy-focused AI platform

Fresh Funds

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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This story originally appeared on our sister site, EnergyCapitalHTX.com.

Digital Wildcatters just raised $2.5 million in funding. Image courtesy

Houston startup focused on cultivating the future workforce of the energy industry raises $2.5M seed funding

money moves

With $2.5 million in fresh funding, Digital Wildcatters is on its way to keep empowering the evolving energy workforce.

Digital Wildcatters, a Houston company that's providing a community for the next generation of energy professionals, has closed its seed plus funding round at $2.5 million. The round by energy industry veteran Chuck Yates, who also hosts his podcast "Chuck Yates Needs a Job" on the Digital Wildcatters' podcast network.

"Our industry's survival depends on recruiting the next generation of energy workers. We must adapt to their digital, content-rich world, as we currently lag behind, like a VHS tape in a Netflix world. Digital Wildcatters is our path to modernization," Yates, based in Richmond, Texas, says in the news release.

Diamondback Energy and ProFrac also contributed to the round, which closed on December 1 and follows up on the company's $2 million seed round raised from angel investors in 2021.

The fresh funding will go toward further development and commercialization of Collide, an energy industry professional networking app, which launched this fall. The app aims to help advance and support the industry through professional development connection, job portal, and an AI-backed content search engine for industry information.

"Our mission is to empower the next generation of energy professionals to advance their careers and collaboratively address the global energy crisis," Collin McLelland, co-founder and CEO of Digital Wildcatters, says in the release. "We are incredibly grateful to have an investor base that not only believes in our vision but also supports our endeavor to craft innovative products that will redefine the future of the energy industry."

McLelland co-founded Digital Wildcatters with Jake Corley. The two started the Oil and Gas Startups podcast in 2019.

This Houston-based media company launched a networking platform to help solve the energy crisis. Screenshots via apps.apple.com

Houston startup launches networking app for next-generation energy workforce

get connected

A Houston-based media organization dedicated to covering the energy industry has officially launched the beta program of their networking app.

After producing zanily named energy podcasts like “Big Digital Energy” and “What the Funk,” Digital Wildcatters is trying to bridge the hiring gap in the energy industry. By providing a platform for individuals to get their questions answered by experts and a space for companies seeking qualified talent, Collide is structured to ignite the next generation of energy innovators. Collide is currently available for users in both the Apple App Store and Google Play Store.

Collin McLelland, co-founder and CEO of Digital Wildcatters, says he aims to expand their professional community through this networking platform. Rather than being a transition away from Digital Wildcatters’ roots as a digital media organization McLelland explains Collide is an integration of the community they have built through podcasts and events into an interactive platform.

“If you look at what we’ve done historically with Digital Wildcatters, we’ve built an extremely engaged community of energy professionals — it’s a next generation community, very young forward thinking professionals that are working towards solving the world’s energy crisis,” McLelland shares.

The roll out of Collide has been intentionally gradual, McLelland says because they want to shape the user experience based on feedback from ongoing focus groups. Currently they have about 1,000 users and are examining how they can make the app valuable to them before providing the platform to a wider audience.

McLelland says there are two major issues within the energy sector that Collide hopes to address — a lack of knowledge about energy verticals and difficulty recruiting talent. McLelland attributes the information gap to how expansive the energy sector is, incorporating beyond oil and gas, everything from renewables to lithium mining. Similarly, by zeroing in on the energy sector, McLelland believes Collide can draw upon the network of talent Digital Wildcatters has already cultivated to tackle recruiting issues.

“What we really see with our platform is being able to bring people together where if you want to find a piece of information, you need to find a subject matter expert, or if you want to find your next job, it happens on the Collide platform,” McLelland says.

Unlike other hiring platforms, Collide offers users the opportunity to look for information about the energy sector by integrating all of Digital Wildcatters’ podcasts and videos into a content search engine. This program is part of their DW Insight subscription product which also has a startup database with overviews of various companies, from their demos to a portal to contact them.

“We hope someday that we’ll have this knowledge base that can be searched and queried to where if you want to find out any piece of information, you’ll be able to find it on (DW Insight),” McLelland explains.

McLelland co-founded Digital Wildcatters with Jake Corley. The two started the Oil and Gas Startups podcast in 2019.

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This article originally ran on EnergyCapital.

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

Bergen Community College in Paramus, New Jersey
Central Louisiana Community College in Alexandria, Louisiana
Clark State College in Springfield, Ohio
Great Basin College in Elko, Nevada
Heartland Community College in Normal, Illinois
Hudson County Community College in Jersey City, New Jersey
Manchester Community College in Manchester, New Hampshire
Mesa Community College in Mesa, Arizona
Mohave College in Kingman, Arizona
San Joaquin Delta Community College in Stockton, California
San Juan College in Farmington, New Mexico
West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

Data Entry Keyers
Statistical Assistants
Office Support Workers
Interpreters and Translators
Database Architects
Software Quality Assurance Analysts
Medical Transcriptionists
Software Developers
Writers and Authors
Payroll Clerks
Web Designers
Miscellaneous Computer Occupations
Insurance Claims Processors
Telemarketers
Computer Numerically Controlled Tool Programmers
Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

No. 1 – Washington
No. 2 – Virginia
No. 3 – District of Columbia
No. 4 – California
No. 5 – Utah
No. 6 – Maryland
No. 7 – Colorado
No. 8 – New Hampshire
No. 9 – Texas
No. 10 – North Carolina

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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.

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