Growing Houston company makes pipeline data more accessible for natural gas trading

Digital upgrade

Jay Bhatty looked at how pipeline data reached traders and thought of a better way. Getty Images

In the energy capital of the world, Houston entrepreneur Jay Bhatty has established a rapidly growing technology hub for the natural gas industry.

Bhatty, a veteran of the natural-gas-trading business, founded Houston-based NatGasHub.com in October 2016 to streamline the traditionally complicated processes of moving natural gas from one point to another, and of unearthing data about natural gas pipelines. After only a little over two years in business, NatGasHub.com already is profitable — a rare feat in the startup world.

The NatGasHub.com platform, which runs on cloud-based software, launched in late 2017. The startup participated in the final accelerator class of the Houston Technology Center; the accelerator program shut down in early 2018.

Bhatty hatched the idea for NatGasHub.com while he was vice president of energy trading at JPMorgan Chase & Co.'s investment-banking arm, where for more than eight years he felt frustrated by the sluggish nature of natural-gas-trading activities.

First off, data about natural gas pipelines — such as whether a pipeline has capacity issues that could trigger a spike in prices — has, for years, been scattered across the web. Now, NatGasHub.com aggregates pipeline data from dozens upon dozens of websites.

Secondly, transferring natural gas from Point A to Point B has historically involved the tedious task of manually typing a "nomination" to enable the sale of natural gas. NatGasHub.com automates that job, freeing up workers' time so they can tackle meatier projects.

Bhatty compares the now-streamlined nomination process to buying an airline ticket on Expedia or booking a hotel room on Hotels.com. Like those travel websites, NatGasHub.com also serves as a one-stop shop, only in this case it offers a single dashboard for selling natural gas. Until NatGasHub.com came along, U.S. companies had relied on cadres of employees to enter natural gas nominations by hand into about 100 gas pipeline websites, and to track gas flow around the clock via spreadsheets and phone calls, Bhatty says.

In a nutshell, NatGasHub.com serves as both a data supplier and a logistics provider for the natural gas industry.

"Software automation has led to reduced costs for our clients," Bhatty says.

As of early December 2018, NatGasHub.com's customer roster featured 32 companies. Bhatty declines to identify the startup's clients, but he says they're well-known names in energy circles. Bhatty says energy producers, utilities, banks, and hedge funds are among the types of clients that benefit from NatGasHub.com.

"We're adding customers at a pretty fast rate," Bhatty says. "We're definitely in growth mode right now."

NatGasHub.com also is adding revenue at a pretty fast rate. From October 2017 to October 2018, revenue soared by 300 percent, while profit skyrocketed by 5,500 percent, according to Bhatty.

NatGasHub.com has accomplished all of that without taking one penny from outside investors, Bhatty says.

The energy industry has taken notice of NatGasHub.com's success. In August, Energy CIO Insights named it one of North America's 10 best energy technology startups for 2018.

Today, NatGasHub.com employs 18 people in Houston. Bhatty envisions the workforce growing to 30 to 35 employees by the end of 2019. Planned expansions into other segments of the energy industry, such as crude oil, and into the Canadian market could bump up that projection. Currently, NatGasHub.com operates only in the U.S.

Among the kinds of workers NatGasHub.com will be hiring over the next year are software programmers, database administrators, and sales representatives.

"It's hard to find any kind of qualified people in this economy with the unemployment rate so low," Bhatty says. "But the good part has been that there's a lot of qualified people who want to work in a startup environment — they want to leave the bigger companies and try something different."

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

New accelerator joins the Ion and more Houston innovation news to know

Trending News

Editor's note: The Houston innovation scene is buzzing with big news this month, from a new accelerator joining the fold at the Ion to pre-IPO funding and national expansion plans. Below are the five most-read InnovationMap stories from Feb. 1-15, 2026:

New accelerator for AI startups to launch at Houston's Ion this spring

The new AI Native Dual-Use Sports, Health & Wellness Accelerator is expected to launch in March. Photo courtesy of the Ion

The Collectiv Foundation and Rice University have established a sports, health and wellness startup accelerator at the Ion District’s Collectiv, a sports-focused venture capital platform. The AI Native Dual-Use Sports, Health & Wellness Accelerator is scheduled to formally launch in March. Continue reading.

10+ can't-miss Houston business and innovation events in February

From recurring monthly favorites to the return of annual celebrations and summits, here's what not to miss in February. Photo courtesy the Ion.

February may be a short month, but its event calendar isn’t. From recurring monthly favorites to the return of annual celebrations and summits, here are the Houston business and innovation events not to miss — and how to register. Continue reading.

Houston lab-test startup seeks $1M for nationwide expansion

Jim Gebhart, founder and CEO of TheLabCafe.com. Courtesy photo.

Health care industry veteran Jim Gebhart knew there had to be a better way for patients to access lab services, especially those with high health insurance deductibles or no insurance at all. Continue reading.

Houston wearable biosensing company closes $13M pre-IPO round

Wellysis is known for its continuous ECG/EKG monitor with AI reporting, known as the S-Patch. Photo via wellysis.com.

Wellysis, a Seoul, South Korea-headquartered wearable biosensing company with its U.S. subsidiary based in Houston, has closed a $13.5 million pre-IPO funding round and plans to expand its Texas operations. Continue reading. Continue reading.

Texas booms as No. 3 best state to start a business right now

Texas is rebounding in a report of the best states to start a business. Photo via Getty Images

High employment growth and advantageous entrepreneurship rates have led Texas into a triumphant No. 3 spot in WalletHub's ranking of "Best and Worst States to Start a Business" for 2026. Continue reading.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”

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