Penrose's advance process control software can increase production by 10 to 15 percent in downstream oil and gas refineries. Pexels

In the next 30 years, the world will need 30 percent more energy due to population growth. While energy production will increase to keep up with demand, there is an increasing concern with the impact on the environment.

"How do you produce more energy without emission increases or more air quality pollution?" asks Erdin Guma, CFO of Penrose Technologies.

According to Guma, Penrose is uniquely well-suited to solve these serious challenges with its advanced process control technology increases the productivity of a chemical plant or refinery by 10 to 15 percent. The increase in productivity means the plants use less fuel to produce the energy. The plant then releases fewer emissions while producing the same amount of energy.

The technology itself is an automation software — similar to autonomous software on a plane. The autonomous operation increases downstream productivity, which brings about the energy efficiency.

"Our autopilot software (like a human operator) can manage and foresee any unexpected disturbances in the plant," Guma explains. "The achievements that the Penrose technology has brought about seemed impossible to chemical and process engineers in the refinery space a few years ago."

Penrose recently signed its first project with one of the biggest downstream firms in the world. With a network of refineries and petrochemical plants around the world, this contract could lead to a global roll out of the Penrose technology.

A ground-breaking technology for O&G
The word "Penrose" is taken from a penrose triangle, an impossible geometrical object. Guma explained that the energy efficiency brought about from their software seemed impossible at first. Penrose has been able to reduce emissions inside plants and refineries by 15 to 20 percent while keeping production at the same level.

In 2007, a chief engineer working at a major oil and gas processing plant in Houston procured the technology for one of his plants. When the engineer saw how well the technology worked, he founded Penrose Technologies in 2017 with Tom Senyard, CTO at Penrose, who originally developed the technology.

After starting the company at the end of 2007, Penrose joined Station Houston. Guma said that by becoming a member, Penrose was able to plug into a large refining and petrochemical network.

"Penrose Technologies is completely self-financed. We worked with [Station Houston] as we finalized the software to find out what potential customers thought of the product. For us, Station Houston has been a great sounding board to potential investors in the company," Guma says.

Guma also explained that while there has been an uptick in innovation in the last few years, the refining and petrochemical business is traditional a slow mover in the uptake of innovation.

"I think more major oil and gas firms are becoming attune to startups and the innovation solutions they offer," Guma says.

He went on to explain that the biggest challenge Penrose faces is perception. Since the software allows plant operators and engineers at the plant to be hands off in the processes, there is a concern with reliability. For industry insiders, any viable product must be reliable even when process conditions at the plant change, which can happen often.

"The Penrose software is maximum hand off control from operators, and the reliability of our software gives us a huge edge in other competing products that can be unreliable," Guma says.

Future growth on a global market
Given the pressing need for more environmentally sustainable energy production, new technology will be adopted in the oil and gas energy. As Guma explains it, there will be no way to continue producing energy as it's been produced for decades because the negative effects of air pollution and emissions will be too severe — particularly in the areas where refineries operate.

"We see the global market for this type of technology as severely underserved," Guma says. "It's a big and sizable market, and I think we can reach a $2 to $3 billion valuation in the next five years."

With a core team of six employees in Houston, Penrose's software is now commercially available, and the company is in full growth mode at this point. The software can be distributed directly to customers, but they are working to develop distribution with major engineering companies as well.

Guma is grateful to be in an environment conducive to energy start-ups. He sees Houston as a major advantage given its proximity to the energy sector.

"No technology rises up in a vacuum. Any new technology needs a good ecosystem to come from," says Guma. "Houston was that ecosystem for Penrose."

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

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

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health 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. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

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

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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.”