Syzygy Plasmonics has raised $23 million thanks to international support. Photos via plasmonics.tech

A Houston startup founded based off research coming out of Rice University has closed its series B funding, the company announced this week.

Founded in 2017, Syzygy Plasmonics is a chemical company developing a photocatalyst-powered hydrogen fuel cell technology that produces a cheaper source of energy that releases fewer carbon emissions. As of this week, the company has $23 million more to fund its scaling and grow its team thanks to the closing of its series B financing led by Hong Kong-based Horizons Venture. Equinor Ventures, a new investor, also joined in on the round, along with previous seed and series A investors including The Engine, GOOSE Capital, and Evok Innovations.

"With renewable electricity as an energy source, our technology is cleaner, and because of the stability and activity of our photocatalysts, we can drive dozens of possibilities, tuning reactions that produce different chemicals," says Trevor Best, Syzygy Plasmonics' co-founder and CEO, in a news release. "Our initial product will focus on eliminating emissions from hydrogen production, transforming the industrial process involved in making semiconductors, LEDs and metals. Our system will also enable industries that are consumers of hydrogen fuel cells, like fuel cell vehicles."

The hydrogen-fueled technology originated out of research done over two decades by two Rice University professors, Naomi Halas and Peter Nordlander and further developed by the company's co-founder and CTO, Suman Khatiwada. The technology has the ability to both lower costs and emissions at industrial plants. According to the release, Syzygy's first product focused on hydrogen and the technology has the potential to cut the cost of zero emission hydrogen in half, when compared to other alternatives such as electrolysis.

"There are rules in chemical engineering, and you can't break them, but we follow them in a different way," CEO Trevor Best previously told InnovationMap. "What we're doing is fundamentally different. We're using light instead of heat to drive chemical reactions."

Currently, Syzygy employs 26 people and plans to double its workforce in the next year in order to launch its first full-size, commercial-ready chemical reactors in 2022.

In August of 2019, Syzygy raised its $5.8 million series A and secured Department of Energy ARPA-E and National Science Foundation SBIR Program grants.

"The keys to unlock the potential of hydrogen energy lie within production cost reduction and safety enhancements. Syzygy uses a photocatalysis process to produce H2 on premises, therefore mitigating risks of explosion imposed by the transportation of liquid hydrogen while lowering production costs to increase overall energy efficiency. This technology will be applicable to a wide-range of use-cases, enabling a faster path toward zero-emissions," says Patrick Poon of Horizons Ventures, who is also a new board member at Syzygy.

The international fundraise also attracted interest from Norway-based Equinor's venture arm, which has operations in more than 30 countries.

"We have announced our ambition to become a net-zero energy company by 2050 and in order for society at large to meet its climate goals it will require new solutions and technologies. We are pleased to announce the investment in Syzygy as one potential contributor to help the energy industry reduce emissions as part of our effort to shape the future of energy," says Gareth Burns, head of Equinor Ventures, in the release.

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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.”