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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Texas falls to bottom of national list for AI-related job openings

jobs report

For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

Houston energy trailblazer Fervo closes $462 million Series E

Fresh Funds

Houston-based geothermal energy company Fervo Energy has closed an oversubscribed $462 million series E funding round, led by new investor B Capital.

“Fervo is setting the pace for the next era of clean, affordable, and reliable power in the U.S.,” Jeff Johnson, general partner at B Capital, said in a news release.

“With surging demand from AI and electrification, the grid urgently needs scalable, always-on solutions, and we believe enhanced geothermal energy is uniquely positioned to deliver. We’re proud to support a team with the technical leadership, commercial traction, and leading execution capabilities to bring the world’s largest next-generation geothermal project online and make 24/7 carbon-free power a reality.”

The financing reflects “strong market confidence in Fervo’s opportunity to make geothermal energy a cornerstone of the 24/7 carbon-free power future,” according to the company. The round also included participation from Google, a longtime Fervo Partner, and other new and returning investors like Devon Energy, Mitsui & Co., Ltd., Mitsubishi Heavy Industries and Centaurus Capital. Centaurus Capital also recently committed $75 million in preferred equity to support the construction of Cape Station Phase I, Fervo noted in the release.

The latest funding will support the continued buildout of Fervo’s Utah-based Cape Station development, which is slated to start delivering 100 MW of clean power to the grid beginning in 2026. Cape Station is expected to be the world's largest next-generation geothermal development, according to Fervo. The development of several other projects will also be included in the new round of funding.

“This funding sharpens our path from breakthrough technology to large-scale deployment at Cape Station and beyond,” Tim Latimer, CEO and co-founder of Fervo, added in the news release. “We’re building the clean, firm power fleet the next decade requires, and we’re doing it now.”

Fervo recently won Scaleup of the Year at the 2025 Houston Innovation Awards, and previously raised $205.6 million in capital to help finance the Cape Station earlier this year. The company fully contracted the project's capacity with the addition of a major power purchase agreement from Shell this spring. Fervo’s valuation has been estimated at $1.4 billion and includes investments and support from Bill Gates.

“This new investment makes one thing clear: the time for geothermal is now,” Latimer added in a LinkedIn post. “The world desperately needs new power sources, and with geothermal, that power is clean and reliable. We are ready to meet the moment, and thrilled to have so many great partners on board.”

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This article originally appeared on EnergyCapitalHTX.com.

Baylor center receives $10M NIH grant to continue rare disease research

NIH funding

Baylor College of Medicine’s Center for Precision Medicine Models received a $10 million, five-year grant from the National Institutes of Health last month that will allow it to continue its work studying rare genetic diseases.

The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments.

The center was originally funded by an NIH grant, and its models have contributed to the discovery of several new rare disease genes and new symptoms caused by known disease genes. It hosts an online portal that allows physicians, families and advocacy groups to nominate genetic variants or rare diseases that need further investigation or new treatments.

Since its founding in 2020, it has received 156 disease/variant nominations, accepted 63 for modeling and produced more than 200 precision models, according to Baylor.

The center plans to use the latest round of funding to bring together more experts in rare disease research, animal modeling and bioinformatics, and to expand its focus and model more complex diseases.

Dr. Jason Heaney, associate professor in the Department of Molecular and Human Genetics at BCM, serves as the lead principal investigator of the center.

“The Department of Molecular and Human Genetics is uniquely equipped to bring together the diverse expertise needed to connect clinical human genetics, animal research and advanced bioinformatics tools,” Heaney added in the release. “This integration allows us to drive personalized medicine forward using precision animal models and to turn those discoveries into better care for patients.”