Houston startup creates the Alexa or Siri for oil and gas companies

Hey, Nesh?

Nesh's digital assistant technology wants to make industry information more easily accessible for energy professionals. Photo courtesy of Thomas Miller/Breitling Energy

When Sidd Gupta's friend lost his job and struggled to find a new position after the major oil downturn in 2014, Gupta noticed a systemic problem within the industry.

"A company rejected him because he was unfamiliar with the software they used in their operations," Gupta explains. "In our industry, companies will judge a potential hire's technical capabilities based on which software they know how to use rather than how good they would be at the job."

While software requirements for oilfield jobs are common, it made Gupta consider how we can make complex data and knowledge more accessible.

Gupta saw something else brewing in the energy industry that also piqued his interest.

"There was entrepreneurship in the oil and gas space and an interest in data science during the oil downturn. We saw startups created in Austin then Houston. There was an infectious entrepreneurial energy at that time," he says.

Last year, he took the entrepreneurial leap, quit his job and founded Nesh, a smart assistant like Alexa or Siri, but specifically for oil and gas companies. Nesh sources information from public data, vendor sources, technical papers, journal articles, news feeds and more to give answers to complex, technical questions related to energy.

Nesh explained
Because this tool is meant for businesses and not personal use, the software must be trustworthy, Gupta says, and he asked himself what he needs to do to make an engineer or a CEO of an energy company believe Nesh's response.

The answer: transparency. With Nesh, users can see how the smart assistant came to its answer. The software shows the data and workflow behind the answer as part of the user interface.

And Nesh learns from its users too. If an unfamiliar question is posed to Nesh, users can add new training phrases to teach Nesh what to do next time the question is posed.

"We created Nesh as something super-simple to use," Gupta says. "There's no learning curve, no technical knowledge required, you just need to speak plain English."

Gupta, who was raised in India, came to the United States to pursue his master's degree in petroleum engineering at the University of Texas at Austin. After working in oil and gas for over a decade, he started Nesh last year with co-founder and CTO Seth Anderson.

Gearing up for the future
This year, Nesh is in the process of fundraising, and, with the new funds, he plans to expand his workforce, which is currently five employees (including Gupta himself) based in Houston. Due to its size, Nesh currently can run only one pilot program at a time. With more employees, Nesh will be able to scale up its pilot programs and run multiple pilots in parallel. The larger user pool for these pilots will give Gupta and his team better insights into Nesh and allow them to continue refining the tool.

Right now, Gupta wants to commercialize in those operations where Nesh is already running pilot programs. He says he hopes for Nesh to have both internal and external growth, with the next surge of hiring and an expanded user pool for the product.

He plans to make Nesh available as a commercial product in fall of this year with a target market of small to mid-sized oil and gas companies.

Gupta says Nesh is different from anything in the market.

"With enterprise software in general, it can be very hard to get a demo version of software without talking to a sales representative—something that people dislike," he says. "I want to bring the B2C aspect of trying a software to the B2B world."

The business model goal for Nesh is for potential clients to be able to test the software themselves, Gupta says, and then contact the company if they're interested.

"I want transparent pricing to be visible on our website," he says. "I want potential customers to be able to experience the demo just by giving their information."

As Gupta sees it, one of the main advantages to being in Houston is the important support networks as well as the potential customer base. He's grateful to local organizations such as Station Houston and Capital Factory for connecting him with many resources.

"I'm seeing a lot of innovation here in Houston," Gupta says. "There's a lot of oil and gas companies, so as we begin looking for potential customers, that's a very important advantage of being here."

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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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