These 10 companies are ones to look out for. Getty Images

From fast-charging batteries and hydrogen fuel alternatives to metals recycling and artificial intelligence-driven data tools, energy tech startups have a lot to offer the industry.

After nearly 60 pitches, the Rice Alliance for for Technology and Entrepreneurship named 10 startups to look out for in the energy industry. The announcement was made at the conclusion of the annual Energy and Clean Technology Venture Forum hosted at Rice University on September 11.

Of the 10, five hail from Houston. Check out this year's energy tech startups to look out for.

Sensytec

Fresh off a win from Houston's inaugural MassChallenge Texas cohort, Houston-based Sensytec again scored big. Sesnsytec's technology is known as the "smart concrete" because they've created a device that can be embedded into concrete and monitor its structure in real time. The company was founded out of the University of Houston in 2016 by Ody de la Paz.

Rheidiant

Another Houston-based company, Rheidiant uses industrial Internet of Things to optimize data from the pipelines. As a result, Rheidiant's technology can increase productivity, reduce leaks, quickly respond in emergency situations, and enhance visibility in the field. Rheidiant was founded in 2014 by CEO Murat Ocalan.

Nesh

Houston-based Nesh has created a smart assistant for oil and gas. Using artificial intelligence, Nesh can answer any question from an oil and gas employee to improve their decision-making process and cut down on the time it takes to find solutions. Nesh was founded in 2018 by Sidd Gupta and the company closed its seed round in April.

GBatteries

GBatteries, based in Ottawa, Canada, is changing the lithium battery charging game. With a mission of revolutionizing the electric car industry, GBatteries has created an artificial intelligence-backed technology that can charge a lithium battery to half full in 5 minutes. The company has 10 patents granted and 28 pending and has pilot programs in the works with automotive companies.

HARBO Technologies

Tel Aviv, Israel-based HARBO Technologies bills itself as the fastest and most effective oil spill response system in the world.The company's T-Fence system can be deployed quickly and by a team of as little as two people. HARBO was founded in 2013 by CEO Boaz Ur and has raised three rounds of funding, according to Crunchbase.

Sensorfield

It's not the first time Houston-based Sensorfield has been deemed most promising by the Rice Alliance. The company has created easy to install, wireless devices for monitoring throughout the industrial process. In May, the startup was selected for Chevron Technology Ventures' Catalyst Program.

MolyWorks Materials Corp.

California startup, MolyWorks Materials Corp., is improving the way industrial materials are recycled by building by creating a network of distributed recycling and additive manufacturing. Old metals materials go in, and metallic powder for manufacturing new products come out.

Lilac Solutions

Oakland, California-based Lilac Solutions exists to enhance lithium production as the demand rises with the growth of the electronic vehicles industry. Lilac has created a unique ion exchange technology that can lower the cost of lithium production while increasing the speed. The company is currently operating pilot programs.

Mission Secure

Mission Secure Inc. has created an industrial control system that can protect energy companies from potential cybersecurity threats as well as educate on the process. Based in Charlottesville, Virginia, MSI is venture backed and serving clients in Houston.

Syzygy Plasmonics

Houston-based Syzygy Plasmonics is fresh off a $5.8 million series A funding round it closed in August. The company is creating a hydrogen fuel cell technology that produces a cheaper source of energy that releases fewer carbon emissions. The hydrogen-fueled technology originated out of research done over two decades by two Rice University professors, Naomi Halas and Peter Nordlander. Earlier this summer, the Rice Alliance named Syzygy a most promising startup at the Offshore Technology Conference.

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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.”