Houston research breakthrough could pave way for next-gen superconductors

Quantum Breakthrough

Researchers from Rice University say their recent findings could revolutionize power grids, making energy transmission more efficient. Getty Images

A study from researchers at Rice University, published in Nature Communications, could lead to future advances in superconductors with the potential to transform energy use.

The study revealed that electrons in strange metals, which exhibit unusual resistance to electricity and behave strangely at low temperatures, become more entangled at a specific tipping point, shedding new light on these materials.

A team led by Rice’s Qimiao Si, the Harry C. and Olga K. Wiess Professor of Physics and Astronomy, used quantum Fisher information (QFI), a concept from quantum metrology, to measure how electron interactions evolve under extreme conditions. The research team also included Rice’s Yuan Fang, Yiming Wang, Mounica Mahankali and Lei Chen along with Haoyu Hu of the Donostia International Physics Center and Silke Paschen of the Vienna University of Technology. Their work showed that the quantum phenomenon of electron entanglement peaks at a quantum critical point, which is the transition between two states of matter.

“Our findings reveal that strange metals exhibit a unique entanglement pattern, which offers a new lens to understand their exotic behavior,” Si said in a news release. “By leveraging quantum information theory, we are uncovering deep quantum correlations that were previously inaccessible.”

The researchers examined a theoretical framework known as the Kondo lattice, which explains how magnetic moments interact with surrounding electrons. At a critical transition point, these interactions intensify to the extent that the quasiparticles—key to understanding electrical behavior—disappear. Using QFI, the team traced this loss of quasiparticles to the growing entanglement of electron spins, which peaks precisely at the quantum critical point.

In terms of future use, the materials share a close connection with high-temperature superconductors, which have the potential to transmit electricity without energy loss, according to the researchers. By unblocking their properties, researchers believe this could revolutionize power grids and make energy transmission more efficient.

The team also found that quantum information tools can be applied to other “exotic materials” and quantum technologies.

“By integrating quantum information science with condensed matter physics, we are pivoting in a new direction in materials research,” Si said in the release.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

Researchers created a mathematical model that helps transplant centers make decisions about when to move forward with a matching donor and when to wait. This work can potentially help decision making in other industries. Photo via Getty Images

Houston researchers build life-saving decision making mathematical model with big potential

houston voices

To wait, or not to wait? That is the question — or at least it might be, if you need a kidney transplant.

Nearly 89,000 Americans with chronic kidney disease are on a waitlist for a new organ, and an estimated 13 people die each day while awaiting a transplant. But there are real costs to matching patients with the first donor that becomes available, just as there are equally real costs to having them wait in hopes of finding a better one.

Recently, Rice Business professor Süleyman Kerimov and colleagues at Stanford University and Northwestern University developed a mathematical model that helps clarify when it's best to match patients to donors as quickly as possible and when it's best to wait.

Their findings, which appear in two papers published in Management Science and Operations Research, respectively, could help optimize all manner of matching markets in which participants seek to connect with potential partners based on mutual compatibility — a sprawling category that encompasses everything from e-commerce platforms to labor markets that match employees with employers.

Kerimov and his colleagues focused on programs that match live kidney donors with people who need transplants. Live donors typically volunteer to give one of their kidneys to a loved one. But biological differences between a donor and their intended recipient can render the pair incompatible.

Kidney exchange programs solve this problem by swapping donors amongst different patient-donor pairs, choreographing a kind of kidney-transplant square dance aimed at finding a compatible partner for every willing donor.

In countries such as Canada and the Netherlands, kidney-matching programs perform a batch of matches every few months (called periodic policies). American programs, meanwhile, tend to perform daily matches (called greedy policies). Both models seek to produce the greatest number of high-quality transplants possible, but they each have advantages and disadvantages.

Less frequent matches in a periodic policy allow more patient-donor pairs to accumulate in the kidney exchange network, creating potential for better matches over time. But this approach risks making some patients sicker as they wait for a better match that might never appear.

Arranging feasible matches as soon as they become available in a greedy policy avoids that predicament. But it means passing up the opportunity to make a potentially better match that could represent the possibility of a longer, healthier life.

Balancing these trade-offs is tricky. There is no way of predicting precisely when a patient-donor pair with a particular set of characteristics will show up at the kidney-exchange network. And in the world of organ transplants, there are no do-overs.

Kerimov and his colleagues have constructed a mathematical model that represents a simplified version of a kidney exchange network.

Within the model, the researchers could dictate which patient-donor pairs could be matched with one another. They can also assign different values to individual matches based on the number of life years they provide. And they can establish the probability that various kinds of patient-donor pairs with particular characteristics might arrive at the network and queue up for a transplant at any given time.

Having set those parameters, the researchers applied different matching policies and compared the results. As it turns out, the answer to whether one should wait or not is: It depends.

To determine which policies generated the best outcomes — i.e., performing matches either daily or periodically — the researchers calculated the difference between the total value in life years that could possibly be generated within the network and the amount generated by a specific policy at a particular point in time. The goal was to keep that number, evocatively dubbed "all-time regret," as small as possible over both the short and long term.

In their first paper, Kerimov and his team explored a complex network in which donor kidneys could be swapped amongst three or more patient-donor pairs. When such multiway matches were possible, the cost of applying a daily-match policy turned out to be onerous. Using all available matches as quickly as possible eliminated the chance of later performing potentially higher-value matches.

Instead, the researchers found they could minimize regret by applying a periodic policy that required waiting for a certain number of patient-donor pairs to arrive before attempting to match them. The model even allowed the team to calculate precisely how long to wait between matchmaking sessions to get the best possible results.

In their second paper, however, the team looked at a simpler network in which kidneys could only be swapped between two donor-patient pairs. Here, their findings contradicted the first: Applying a daily-match policy minimized regret; a periodic matching process yielded no benefit whatsoever.

To their surprise, the researchers discovered they could design a foolproof algorithm for making two-way matches in simple networks. The algorithm employed a ranked list of possible match types; and the researchers found that no matter how many patient-donor pairs of various kinds randomly arrived at the network, the best choice was always simply to perform the highest-ranked match on the list.

In future research, Kerimov hopes to refine the model by feeding it data on real patient-donor pairs that have participated in actual kidney exchange programs. This would allow him to create a more realistic network, more accurately calculate the likelihood that particular kinds of patient-donor pairs will show up, and assign values to matches based not only on life years but also on rarity and difficulty. (Certain blood types and antibody profiles, for example, are rarer or more difficult to match than others.)

But Kerimov already suspects that in a real-world situation, the wisest course of action will be to alternate between periodic and greedy policies as circumstances dictate. In a simple region within a kidney exchange network that only allows for two-way matches, pursuing a greedy policy that involves taking the first match that appears on a fixed menu of options would be the best choice. In a more complex region that allows three-way matches, however, pursuing a periodic matching policy that involves waiting to make rarer and more difficult matches would ultimately offer more patients more years of healthy life.

The benefits of choosing flexibly between greedy and periodic policies should hold for any kind of matching market that can be represented by a network with simpler and more complex regions, such as a logistics system that matches online orders to delivery trucks or a carpooling system that matches passengers with drivers across different parts of a city.

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This article originally ran on Rice Business Wisdom and was based on research from Süleyman Kerimov, an assistant professor of management – operations management in the Jones Graduate School of Business at Rice University.

This Halloween, consider your office costume contest or luncheon social a productive part of the day. Socialization in the office has been linked to greater creativity, according to a Rice University researcher. Getty Images

Rice University research finds that office socializing can be a pathway to innovation and creativity

Houston voices

Innovation is a team sport. We know that creative workplaces represent a series of social networks, each brimming with useful ideas and expertise. And there is clearly a link between innovation within a firm and the colleagues and friends with whom employees hobnob off duty.

But how exactly does that alchemy happen? What's the relationship between creativity and the hive of direct and indirect contacts in an employee's cell phone?

A recent study by Jing Zhou of the business school, Giles Hirst of Australian National University, Daan Van Knippenberg of Erasmus University, Eric Quintane of the University of Los Andes and Cherrie Zhu of Monash University sheds new light on this. Mapping the social networks that underlie a creative workplace, the researchers showed that employee creativity rises when social networks are more diverse.

The researchers started with the premise that direct links in a network are offshoots of larger networks. The more diverse these indirect networks are, the researchers found, the more likely that innovative concepts will appear in a company's intellectual landscape.

The most efficient resources for gathering novel perspectives are networks made up of two-step "non-redundant ties"—that is, people you may not interact with directly, but with whom your direct ties do interact. These contacts are effectively the raw material employees use to come up with new ideas and ways of working. But why are these indirect networks so important? They diversify the thinking of the group, Zhou and her colleagues argue. Because these networks include individuals who are not necessarily linked, they lower the chances of groupthink or stale ideas.

To test their hypothesis, the researchers looked at the social networks of a large, state-owned pharmacy corporation in the People's Republic of China. Examining 11 divisions, each with roughly 25 sales representatives, the team studied creativity among the sales representatives. Evenly divided between men and women, the representatives were, on average, 35 years of age with approximately 10 years' of experience. Some had developed networks so large that they reached beyond the corporation's geographic territory.

The representatives' creativity manifested itself in a range of forms: new ways to promote products, strategies to cross-sell products, ideas for connecting with hard-to-access sales targets and plans for boosting client sales. The ideas included making products more visible in retail outlets and personalizing product launches to push customers to specific distributors. Because this kind of inventiveness is critical to gaining an edge, it's one of the most important tools in pharmaceutical marketing.

The researchers devised a matrix that matched sales metrics and managers' creativity rankings to the types of social networks the representatives had. The map showed clearly that a two-step, indirect network with few redundancies correlated to individual creativity. When networks were further removed than this, employee creativity was unchanged.

The implication: Firms should attend closely to the kind of social networks their workers cultivate. Not only that, it's possible to teach employees how to design networks for maximum efficiency. Persuading employees to make that effort might be another matter. Luckily, possible incentives abound, from bonuses to the satisfactions of a varied network to the simple pleasure of a more ample expense account. Executives just need to get creative in making their case.

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This story originally ran on Rice Business Wisdom.

Jing Zhou is the Mary Gibbs Jones Professor of Management and Psychology in Organizational Behavior at the Jones Graduate School of Business of Rice University.

In a recent study, a Rice Business professor found that board members actually need incentives — both short- and long-term — to act in stakeholders' best interests. Getty Images

Rice University research finds executive board members are driven by incentives

Houston voices

If you're a stockholder, you may envision your investment helmed by a benevolent, all-knowing board of directors, sitting around a long finely-grained wooden table, drinking coffee, their heads buried in PowerPoint charts as they labor to plot the best course for the company. Too often, however, you can't take for granted that a company's board will steer it wisely.

Companies choose directors because they offer rich and varied experience in the business world. Many who serve on boards, moreover, are CEOs of other corporations, or have headed big companies in the past. As of October 2018, for example, six of the 11 directors on Walmart's board and eight of 13 on AT&T's board hold CEO or CFO positions in other firms. So it's easy to assume that board members will act in the best interests of stockholders.

But in a recent study, Rice Business professor Shiva Sivaramakrishnan found that board members actually need incentives — both short- and long-term — to act in stakeholders' best interests.

Corporations usually compensate board members with stock options, grants, equity stakes, meeting fees, and cash retainers. How important is such compensation, and what sort of incentives do board members need to perform in the very best interests of a company? Sivaramakrishnan joined co-author George Drymiotes to trace how compensation impacts various aspects of board performance.

Recent literature in corporate governance has already stressed the need to give boards of directors explicit incentives in order to safeguard shareholder welfare. Some observers have even proposed requiring outside board members to hold substantial equity interests. The National Association of Corporate Directors, for example, recommended that boards pay their directors solely with cash or stock, with equity representing a substantial portion of the total, up to 100 percent.

To the extent that directors hold stock in a company, their actions are likely influenced by a variety of long-and short-term incentives. And while the literature has focused mainly on the useful long-term impact of equity awards, the consequences of short-term incentives haven't been as clear. Moreover, according to surveys, most directors view advising as their primary role. But this role also has received little attention.

To scrutinize these issues, the scholars used a simple model, which assumes the board of directors perform three roles: contracting, monitoring and consulting. The board contracts with management to provide productive input that improves a firm's performance. By monitoring management, the board improves the quality of the information conveyed to managers. By serving in a consulting role, the board makes managers more productive, which, in turn, means higher expected firm output.

This model allowed the scholars to better understand the relationship between the board of directors and the company's managers, as well as with shareholders. The former was particularly important to take into account, because conflict between a board and managers is typically unobservable and can be costly.

The results were surprising. Without short-term incentives, the researchers found, boards did not effectively fulfill their multiple roles. Long-term inducements could make a difference, they found, but only in some aspects of board performance.

While board members were better advisors when given long-term motivations, short-term incentives were better motivators for performing well in their other corporate governance roles, according to the research, which tied specific aspects of board compensation to particular board functions.

Restricted equity awards provided the necessary long-term incentives to improve the efficacy of the board's advisory role, the scholars found, but only the short-term incentives, awarding an unrestricted share or a bonus based on short-term performance, motivated conscientious monitoring.

The scholars also examined managerial misconduct. Board monitoring, they concluded, lowered the cost of preventing such wrongdoing — but only if the board had strong short-term incentives in place.

Even at the highest rungs of the corporate ladder, in other words, short-term self-interest is the greatest motivator. Maybe it's not surprising. In the corporate world, acting for one's own benefit is a given — so stockholders need to look more closely at those at the very top. Like everyone else, board directors need occasional brass rings within easy reach to do their best.

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This story originally ran on Rice Business Wisdom.

Shiva Sivaramakrishnan is the Henry Gardiner Symonds Professor in Accounting at the Jesse H. Jones Graduate School of Business at Rice University.

Keeping on track with trends is crucial to growing and developing a relationship with your customers, these Rice University researchers found. Getty Images

Rice researcher delves into the importance of trendspotting in consumer behavior

Houston voices

Every business wants to read consumers' minds: what they love, what they hate. Even more, businesses crave to know about mass trends before they're visible to the naked eye.

In the past, analysts searching for trends needed to pore over a vast range of sources for marketplace indicators. The internet and social media have changed that: marketers now have access to an avalanche of real-time indicators, laden with details about the wishes hidden within customers' hearts and minds. With services such as Trendistic (which tracks individual Twitter terms), Google Insights for Search and BlogPulse, modern marketers are even privy to the real-time conversations surrounding consumers' desires.

Now, imagine being able to analyze all this data across large panels of time – then distilling it so well that you could identify marketing trends quickly, accurately and quantitatively.

Rice Business professor Wagner A. Kamakura and Rex Y. Du of the University of Houston set out to create a model that makes this possible. Because both quantitative and qualitative trendspotting are exploratory endeavors, Kamakura notes, both types of research can yield results that are broad but also inaccurate. To remedy this, Kamakura and Du devised a new model for quickly and accurately refining market data into trend patterns.

Kamakura and Du's model entails taking five simple steps to analyze gathered data using a quantitative method. By following this process of refining the data tens or hundreds of times, then isolating the information into specific seasonal and non-seasonal trends or dynamic trends, researchers can generate steady trend patterns across time panels.

Here's the process:

  • First, gather individual indicators by assembling data from different sources, with the understanding that the information is interconnected. It's crucial to select the data methodically, rather than making random choices, in order to avoid subjectively preselecting irrelevant indicators and blocking out relevant ones. Done sloppily, this first step can generate misleading information.
  • Distill the data into a few common factors. The raw data might include inaccuracies, which must be filtered out to lower the risk of overreacting or noting erroneous indicators.
  • Interpret and identify common trends by understanding the causes of spikes or dips in consumer behavior. It's key to separate non-cyclical and cyclical changes, because exterior events such as holidays or weather can alter behavior.
  • Compare your analysis with previously identified trends and other variables to establish their validity and generate insights. Looking at past performance through the filter of new insights can offer managers important guidance.
  • Project the trend lines you've identified using historical tracking data and their modeling framework. These trend lines can then be extrapolated into near-future projections, allowing managers to better position themselves and be proactive trying to reverse unfavorable trends and leverage positive ones.

It's important to bear in mind that the indicators used for quantitative trendspotting are prone to random and systematic errors, Kamakura writes. The model he devised, however, can filter these errors because it keeps them from appearing across different series of time panels. The result: better ability to identify genuine movements and general trends, free from the influence of seasonal events and from random error.

It goes without saying that the information and persuasiveness offered by the internet are inevitably attended by noise. For marketers, this means that without filtering, some trends show spikes for temporary items – mere viral jolts that can skew market research.

Kamakura and Du's model helps sidestep this problem by blending available historical data analysis, large time panels and movements while avoiding errors common to more traditional methods. For managers longing to glimpse the next big thing, this analytical model can reveal emerging consumer movements with clarity – just as they're becoming the future.

(For the mathematically inclined, and those comfortable with Excel macros and Add-Ins, who want to try trendspotting on their own tracking data, Kamakura's Analytical Tools for Excel (KATE) can be downloaded for free at http://wak2.web.rice.edu/bio/Kamakura_Analytic_Tools.html.)

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This article originally appeared on Rice Business Wisdom.

Wagner A. Kamakura is Jesse H. Jones Professor of Marketing at Jones Graduate School of Business at Rice University.

As more and more offices have remote workers, managers need to know how to measure virtual employee success. Getty Images

Rice University research calls for more ways to measure virtual employee success

Houston Voices

Managers are always hunting for ways to measure performance. They need to know what's succeeding and what's not so they can make adjustments and improve a work team's output. This has led to countless research that looks at ways to measure and boost employee performance. Indeed, one recent study showed there were more than 130 models and frameworks for measuring team performance in the workplace.

But how we do business has been changing in the last two decades. Communication technology and information sharing increasingly has decentralized the workforce. More and more people are working remotely. Consider telecommuters, online messenger services such as Slack and customer service call centers routing their calls across the world. What forces determine how these virtual teams function?

In a recent study, Rice Business professor Utpal Dholakia and colleagues René Algesheimer of the University of Zurich and Călin Gurău of GSCM-Montpellier Business School looked closely at what motivates remote teams and how to measure what they do. They began with a standard input-mediator-output-input model (IMOI) to measure team characteristics such as size, tenure, communication, strategic consensus and intentions. Then they dove further, including expected team performance, actual team performance and past team performance into the equations. Finally, they analyzed the influence of motivational (desire to perform) and rational (shared goals) dimensions.

To conduct the research, Dholakia, Algesheimer and Gurău analyzed professional computer gaming teams, reasoning that such teams work together in highly competitive environments. The gamers' lack of organizational context, meanwhile, eliminated any bias that could be linked to traditional institutional structures such as culture and goals. There was a downside, however: the gaming teams didn't fully replicate the situation of virtual teams in business organizations.

Still, by choosing the European Electronic Sports League (ESL) the researchers were able to pick from more than half a million teams that play in excess of 4 million matches a year. In the end, 606 teams participated in the study by answering a questionnaire in the course of a year. The teams all had stable structures and specific objectives, strategies and training, just like virtual work teams. Data was also collected from the ESL database and included in the model.

The findings: most studies do not consider expected and actual team performance in their calculations. This is important because research shows a strong link between expectation and performance. Including both sets of results can help managers choose the right steps to enhance team strategy and effectiveness. (The study did not analyze issues such as trust, training, conflict resolution or leadership, areas Dholakia recommends for further research).

The framework devised by Dholakia and his colleagues gives researchers a more precise way to analyze remote or international teamwork. It also could help guide managers in examining a team's cultural diversity, and how that might affect output. In a time when the workplace is growing ever less tangible, Dholakia's model is a sturdy tool to measure what's happening out there.

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This article originally appeared on Rice Business Wisdom.

Utpal Dholakia is the George R. Brown Professor of Marketing at Jones Graduate School of Business at Rice University.

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Houston climbs to top 10 spot on North American tech hubs index

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Houston already is the Energy Capital of the World, and now it’s gaining ground as a tech hub.

On Site Selection magazine’s 2026 North American Tech Hub Index, Houston jumped to No. 10 from No. 16 last year. The index relies on data from Site Selection as well as data from CBRE, CompTIA and TeleGeography to rank the continent’s tech hotspots. The index incorporates factors such as internet connectivity, tech talent and facility projects for tech companies.

In 2023, the Greater Houston Partnership noted the region had “begun to receive its due as a prominent emerging tech hub, joining the likes of San Francisco and Austin as a major player in the sector, and as a center of activity for the next generation of innovators and entrepreneurs.”

The Houston-area tech sector employs more than 230,000 people, according to the partnership, and generates an economic impact of $21.2 billion.

Elsewhere in Texas, two other metros fared well on the Site Selection index:

  • Dallas-Fort Worth nabbed the No. 1 spot, up from No. 2 last year.
  • Austin rose from No. 8 last year to No. 7 this year.

San Antonio slid from No. 18 in 2025 to No. 22 in 2026, however.

Two economic development officials in DFW chimed in about the region’s No. 1 ranking on the index:

  • “This ranking affirms what we’ve long seen on the ground — Dallas-Fort Worth is a top-tier technology and innovation center,” said Duane Dankesreiter, senior vice president of research and innovation at the Dallas Regional Chamber. “Our region’s scale, talent base, and diverse strengths … continue to set DFW apart as a national leader.”
  • “Being recognized as the top North American tech hub underscores the strength of the entire Dallas-Fort Worth region as a center of innovation and next-generation technology,” said Robert Allen, president and CEO of the Fort Worth Economic Development Partnership.

While not directly addressing Austin’s Site Selection ranking, Thom Singer, CEO of the Austin Technology Council, recently pondered whether Silicon Hills will grow “into the kind of community that other cities study for the right reasons.”

“Austin tech is not a club. It is not a scene. It is not a hashtag, a happy hour, or any one place or person,” Singer wrote on the council’s blog. “Austin tech is an economic engine and a global brand, built by thousands of people who decided to take a risk, build something, hire others, and be part of a community that is still young enough to reinvent itself.”

South of Austin, Port San Antonio is driving much of that region’s tech activity. Occupied by more than 80 employers, the 1,900-acre tech and innovation campus was home to 18,400 workers in 2024 and created a local economic impact of $7.9 billion, according to a study by Zenith Economics.

“Port San Antonio is a prime example of how innovation and infrastructure come together to strengthen [Texas’] economy, support thousands of good jobs, and keep Texas competitive on the global stage,” said Kelly Hancock, the acting state comptroller.

14 Houston startups starting 2026 with fresh funding

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Houston startups closed out the last half of 2025 with major funding news.

Here are 14 Houston companies—from groundbreaking energy leaders to growing space startups—that secured funding in the last six months of the year, according to reporting by InnovationMap and our sister site, EnergyCapitalHTX.com.

Did we miss a funding round? Let us know by emailing innoeditor@innovationmap.com.

Fervo Energy

Fervo Energy has closed an oversubscribed Series E. Photo via Fervo Energy

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

The company also secured $205.6 million from three sources in June.

“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.

The 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. Continue reading.

Square Robot

Houston robotics co. unveils new robot that can handle extreme temperatures

Square Robot's technology eliminates the need for humans to enter dangerous and toxic environments. Photo courtesy of Square Robot

Houston- and Boston-based Square Robot Inc. announced a partnership with downstream and midstream energy giant Marathon Petroleum Corp. (NYSE: MPC) last month.

The partnership came with an undisclosed amount of funding from Marathon, which Square Robot says will help "shape the design and development" of its submersible robotics platform and scale its fleet for nationwide tank inspections. Continue reading.

Eclipse Energy

Eclipse Energy and Weatherford International are expected to launch joint projects early this year. Photo courtesy of Eclipse Energy.

Oil and gas giant Weatherford International (NASDAQ: WFRD) made a capital investment for an undisclosed amount in Eclipse Energy in December as part of a collaborative partnership aimed at scaling and commercializing Eclipse's clean fuel technology.

According to a release, joint projects from the two Houston-based companies are expected to launch as soon as this month. The partnership aims to leverage Weatherford's global operations with Eclipse Energy's pioneering subsurface biotechnology that converts end-of-life oil fields into low-cost, sustainable hydrogen sources. Continue reading.

Venus Aerospace 

Lockheed Martin Ventures says it's committed to helping Houston-based Venus Aerospace scale its technology. Photo courtesy Venus Aerospace

Venus Aerospace, a Houston-based startup specializing in next-generation rocket engine propulsion, has received funding from Lockheed Martin Ventures, the investment arm of aerospace and defense contractor Lockheed Martin, for an undisclosed amount, the company announced in November. The product lineup at Lockheed Martin includes rockets.

The investment follows Venus’ successful high-thrust test flight of its rotating detonation rocket engine (RDRE) in May. Venus says it’s the only company in the world that makes a flight-proven, high-thrust RDRE with a “clear path to scaled production.”

Venus says the Lockheed Martin Ventures investment reflects the potential of Venus’ dual-use technology for defense and commercial uses. Continue reading.

Koda Health

Tatiana Fofanova and Dr. Desh Mohan, founders of Koda Health, which recently closed a $7 million series A. Photo courtesy Koda Health.

Houston-based digital advance care planning company Koda Health closed an oversubscribed $7 million series A funding round in October.

The round, led by Evidenced, with participation from Mudita Venture Partners, Techstars and Texas Medical Center, will allow the company to scale operations and expand engineering, clinical strategy and customer success, according to a news release.

The company shared that the series A "marks a pivotal moment," as it has secured investments from influential leaders in the healthcare and venture capital space. Continue reading.

Hertha Metals

U.S. Rep. Morgan Luttrell, a Magnolia Republican, and Hertha Metals founder and CEO Laureen Meroueh toured Hertha’s Conroe plant in August. Photo courtesy Hertha Metals/Business Wire.

Conroe-based Hertha Metals, a producer of substantial steel, hauled in more than $17 million in venture capital from Khosla Ventures, Breakthrough Energy Fellows, Pear VC, Clean Energy Ventures and other investors.

The money was put toward the construction and the launch of its 1-metric-ton-per-day pilot plant in Conroe, where its breakthrough in steelmaking has been undergoing tests. The company uses a single-step process that it claims is cheaper, more energy-efficient and equally as scalable as conventional steelmaking methods. The plant is fueled by natural gas or hydrogen.

The company, founded in 2022, plans to break ground early this year on a new plant. The facility will be able to produce more than 9,000 metric tons of steel per year. Continue reading.

Helix Earth Technologies, Resilitix Intelligence and Fluxworks Inc.

Helix Earth's technology is estimated to save up to half of the net energy used in commercial air conditioning, reducing both emissions and costs for operators. Photo via Getty Images

Houston-based Helix Earth Technologies, Resilitix Intelligence and Fluxworks Inc. each secured $1.2 million in federal funding through the Small Business Innovation Research (SBIR) Phase II grant program this fall.

The three grants from the National Scienve foundation officially rolled out in early September 2025 and are expected to run through August 2027, according to the NSF. The SBIR Phase II grants support in-depth research and development of ideas that showed potential for commercialization after receiving Phase I grants from government agencies.

However, congressional authority for the program, often called "America's seed fund," expired on Sept. 30, 2025, and has stalled since the recent government shutdown. Continue reading.

Solidec Inc. (pre-seed)

7 innovative startups that are leading the energy transition in Houston

Houston-based Solidec was founded around innovations developed by Rice University associate professor Haotian Wang (far left). Photo courtesy Greentown Labs.

Solidec, a Houston startup that specializes in manufacturing “clean” chemicals, raised more than $2 million in pre-seed funding in August.

Houston-based New Climate Ventures led the oversubscribed pre-seed round, with participation from Plug and Play Ventures, Ecosphere Ventures, the Collaborative Fund, Safar Partners, Echo River Capital and Semilla Climate Capital, among other investors. Continue reading.

Molecule

Sameer Soleja is the founder and CEO of Molecule, which just closed its series B round. Photo courtesy of Molecule Software.

Houston-based energy trading risk management (ETRM) software company Molecule completed a successful series B round for an undisclosed amount, according to a July 16 release from the company.

The raise was led by Sundance Growth, a California-based software growth equity firm. Sameer Soleja, founder and CEO of Molecule, said in the release that the funding will allow the company to "double down on product innovation, grow our team, and reach even more markets." Continue reading.

Rarefied Studios, Solidec Inc. and Affekta

Houston startups were named among the nearly 300 recipients that received a portion of $44.85 million from NASA to develop space technology this fall. Photo via NASA/Ben Smegelsky

Houston-based Rarefied Studios, Solidec Inc. and Affekta were granted awards from NASA this summer to develop new technologies for the space agency.

The companies are among nearly 300 recipients that received a total agency investment of $44.85 million through the Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Phase I grant programs, according to NASA.

Each selected company received $150,000 and, based on their progress, will be eligible to submit proposals for up to $850,000 in Phase II funding to develop prototypes. The SBIR program lasts for six months and contracts small businesses. Continue reading.

Intuitive Machines 

Intuitive Machines expects to begin manufacturing and flight integration on its orbital transfer vehicle as soon as 2026. Photo courtesy Intuitive Machines.

Houston-based Intuitive Machines secured a $9.8 million Phase II government contract for its orbital transfer vehicle in July.

The contract was expected to push the project through its Critical Design Review phase, which is the final engineering milestone before manufacturing can begin, according to a news release from the company. Intuitive Machines reported that it expected to begin manufacturing and flight integration for its orbital transfer vehicle as soon as this year, once the design review is completed.

The non-NASA contract is for an undisclosed government customer, which Intuitive Machines says reinforces its "strategic move to diversify its customer base and deliver orbital capabilities that span commercial, civil, and national security space operations." Continue reading.

NRG inks new virtual power plant partnership to meet surging energy demands

Powering Up

Houston-based NRG Energy recently announced a new long-term partnership with San Francisco-based Sunrun that aims to meet Texas’ surging energy demands and accelerate the adoption of home battery storage in Texas. The partnership also aligns with NRG’s goal of developing a 1-gigawatt virtual power plant by connecting thousands of decentralized energy sources by 2035.

Through the partnership, the companies will offer Texas residents home energy solutions that pair Sunrun’s solar-plus-storage systems with optimized rate plans and smart battery programming through Reliant, NRG’s retail electricity provider. As new customers enroll, their stored energy can be aggregated and dispatched to the ERCOT grid, according to a news release.

Additionally, Sunrun and NRG will work to create customer plans that aggregate and dispatch distributed power and provide electricity to Texas’ grid during peak periods.

“Texas is growing fast, and our electricity supply must keep pace,” Brad Bentley, executive vice president and president of NRG Consumer, said in the release. “By teaming up with Sunrun, we’re unlocking a new source of dispatchable, flexible energy while giving customers the opportunity to unlock value from their homes and contribute to a more resilient grid

Participating Reliant customers will be paid for sharing their stored solar energy through the partnership. Sunrun will be compensated for aggregating the stored capacity.

“This partnership demonstrates the scale and strength of Sunrun’s storage and solar distributed power plant assets,” Sunrun CEO Mary Powell added in the release. “We are delivering critical energy infrastructure that gives Texas families affordable, resilient power and builds a reliable, flexible power plant for the grid.”

In December, Reliant also teamed up with San Francisco tech company GoodLeap to bolster residential battery participation and accelerate the growth of NRG’s virtual power plant network in Texas.

In 2024, NRG partnered with California-based Renew Home to distribute hundreds of thousands of VPP-enabled smart thermostats by 2035 to help households manage and lower their energy costs. At the time, the company reported that its 1-gigawatt VPP would be able to provide energy to 200,000 homes during peak demand.

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This article originally appeared on EnergyCapitalHTX.com.

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