Houston is a top city for female entrepreneurs, according to a recent study. Getty Images

Houston's innovation ecosystem has been booming with news, and it's likely some might have fallen through the cracks.

For this roundup of short stories within Houston innovation, Houston is recognized for its female-friendly business community, Texas ranks as top for gig economy, the latest Chevron investment is in nuclear energy, and more.

Houston named among top cities for female entrepreneurs

Houston ranked No. 11 on a new study on top cities for female business owners. Via fundera.com

According to a new study from Fundera, Houston ranks among the top 15 cities for female entrepreneurs in the United States. The Bayou City came in at No. 11 based on data pulled from The American Community Survey from the U.S. Census Bureau as well as the Tax Foundation. Metrics included:

  • Percent of self-employed business owners who are women — 18 percent of total score.
  • Percent of women employed in their own business — 18 percent of total score.
  • Earnings gap between male and female business owners — 18 percent of total score.
  • Housing cost as a percent of earnings for female entrepreneurs — 18 percent of total score.
  • Percent of residents with bachelor's degree, denoting high-skilled workforce — 9 percent of total score.
  • Job growth — 9 percent of total score.
  • Tax rates — 9 percent of total score.

"One of the most diverse cities in the country, Houston is also good to its women entrepreneur population," the study reads. "Its biggest strength here, however, may be in its job growth numbers, which were likely impacted by 2020's coronavirus pandemic. It remains to be seen whether the city's strong economic numbers will continue in the years to come."

Lubbock, the only other Texas city to crack the top 15, came in at No. 13.

Galen Data and Zibrio team up with new partnership

A Houston company's balance tracking technology is tapping into another Houston company's cloud technology. Photo courtesy of Zibrio

Houston-based tech companies, Galen Data and Zibrio, have announced a new medical device partnership. Zibrio's SmartScale, which can measure and track physical balance to identify an person's chance of falling, will be able to leverage the Galen CloudTM in order to securely connect data from the device with a patient's physician to support remote patient care.

"Our partnership with Zibrio is a case study in helping an early stage medical device company focus on what they do best," says Galen Data CEO Chris DuPont in a news release. "Galen Data provided outside expertise that has saved Zibrio the needless cost and burden of designing a cloud solution from scratch."

According to the release, the CDC reports that 28 percent of individuals over 65 fall each year, and falls are the leading cause of accidental death in those over 65. Amid the pandemic, the Australian PT Association found an increase in fall right of up to 30 percent.

"With COVID-19 impacting activities of older adults, it was even more critical to find a cost-effective solution to better track, manage, and analyze balance data from our SmartScale," says Zibrio founder and CEO, Katharine Forth, in the release.

IGNITE Madness startup applications close Sept. 4

Ignite Healthcare Network, a health tech startup group that promotes and advances female entrepreneurs, is closing startup applications for its October 22 and 29 event, Ignite Madness. The competition mimics a March Madness-style bracket and will be judged by 10 judges.

The brackets include:

  1. Mental /Behavioral Health
  2. Telemedicine/Remote Patient Monitoring
  3. Medical Devices
  4. Patient Engagement
  5. Employee Wellness
  6. Population Health/Analytics
  7. Femtech/Women's Health
  8. WILDCARD: Other Disruptive Solutions
Apply online for up to $300,000 in cash and prizes.

Texas named the 6th best state for freelance and gig workers

Gig workers are welcome in Texas. Screenshot via directlyapply.com

A job discovery platform, DirectlyApply, has identified the best gig economies to work in and Texas ranked as No. 6. The study looked at nine cost and job opportunity factors, which included the cost of living, the number of restaurants and attractions, the number of advertised gig roles, etc.

Texas has a reported 4,859 gig jobs and 16 gig companies operating locally, and the state sports an average gas price of $0.63 a liter and $1,422 a month to rent an apartment. New York, Florida, California, Ohio, and Illinois ranked ahead of Texas, respectively. The full study is available online.

Adapt2 Solutions recognized with award

Jason Kram is the executive vice president of Adapt2 Solutions. Photo courtesy of Adapt2 Solutions

Houston AI software company, Adapt2 Solutions, has been selected as the winner of the "Best AI Solution for Big Data" award in the 2020 AI Breakthrough Awards program conducted by AI Breakthrough. The awards recognize artificial intelligence and machine learning innovation. This year, the contest saw more than 2,750 nominations from over 15 different countries throughout the world, according to a news release.

"Energy enterprises are dealing with an increasingly complex and ever-changing landscape, including increased renewables, volatile markets, and increased pace of technology innovation for each of the commodity market," says James Johnson, managing director of AI Breakthrough, in the release.

"Adapt2 Solutions is in a unique position to support energy companies with powerful artificial intelligence technology to help their operations to automate, optimize and maintain a competitive advantage. We want to recognize this achievement by awarding them with 'Best AI Solution for Big Data' and we extend a hearty congratulations to the entire Adapt2 team on their well-deserved industry recognition."

The win comes at a strategic time for the company. Adapt2's predictive analytics models forecast unexpected fluctuations in power capacity. Amid the pandemic, this technology enables energy companies to map out demand at a time when they're balancing strained revenue and squeezed spending is paramount, Executive Vice President Jason Kram previously told InnovationMap.

"In times of disruption, big data can inform decision-making for energy companies to optimize energy-market operations with timely and reliable data," Kram says.

Houston Methodist introduces contactless temperature screening

Houston Methodist has set up over a hundred contactless temp checks across its facilities. Photo courtesy of Houston Methodist

Houston Methodist has incorporated new technology from care.ai, an AI-powered temperature monitoring platform, to conduct contactless temperature checks for visitors across 100 locations throughout eight hospitals and 36 physician clinics.

Upon entrance to designated areas, visitors stand in front of a tablet that scans an individual's temperature through the use of thermal technology aimed at the forehead. The technology aims to speed up screening measures and free up staff from the checkpoints. Should a visitor have an elevated skin temperature out of normal range, Methodist staff is contacted.

Chevron invests in nuclear fusion startup

The latest investment from CTV is in nuclear energy. Photo via chevron.com/technology/technology-ventures

Chevron's investment arm, Chevron Technology Ventures, recently announced an investment in Seattle-based Zap Energy Inc., which is working on a modular nuclear reactor. CTV sees nuclear energy as a promising avenue for innovation "across the globe access to affordable, reliable, and ever-cleaner energy," according to a news release.

"We see fusion technology as a promising low-carbon future energy source," says Barbara Burger, president of CTV, in a release. "Our Future Energy Fund investment in Zap Energy adds to Chevron's portfolio of companies we believe are likely to have a role in the energy transition."

This Series A investment is the 10th for Chevron's Future Energy Fund, which focuses on investments in companies that enable macro decarbonization, the mobility-energy nexus, and energy decentralization.

"Our Future Energy Fund investments provide us with strategic insight into power generation markets and potentially disruptive impacts of innovative approaches, like fusion, geothermal, wind, and solar, on the conventional power value chain," says Burger.

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11 Houston researchers named to Rice innovation cohort

top of class

The Liu Idea Lab for Innovation and Entrepreneurship (Lilie) has named 11 students and researchers with breakthrough ideas to its 2026 Rice Innovation Fellows cohort.

The program, first launched in 2022, aims to support Rice Ph.D. students and postdocs in turning their research into real-world ventures. Participants receive $10,000 in translational research funding, co-working space and personalized mentorship.

The eleven 2026 Innovation Fellows are:

Ehsan Aalaei, Bioengineering, Ph.D. 2027

Professor Michael King Laboratory

Aalaei is developing new therapies to prevent the spread of cancer.

Matt Lee, Bioengineering, Ph.D. 2027

Professor Caleb Bashor Laboratory

Lee’s work uses AI to design the genetic instructions for more effective therapies.

Thomas Howlett, Bioengineering, Postdoctoral 2028

Professor Kelsey Swingle Laboratory

Howlett is developing a self-administered, nonhormonal treatment for heavy menstrual bleeding.

Jonathan Montes, Bioengineering, Ph.D. 2025

Professor Jessica Butts Laboratory

Montes and his team are developing a fast-acting, long-lasting nasal spray to relieve chronic and acute anxiety.

Siliang Li, BioSciences, Postdoctoral 2025

Professor Caroline Ajo-Franklin Laboratory

Li is developing noninvasive devices that can quickly monitor gut health signals.

Gina Pizzo, Statistics, Lecturer

Pizzo’s research uses data modeling to forecast crop performance and soil health.

Alex Sadamune, Bioengineering, Ph.D. 2027

Professor Chong Xie Laboratory

Sadamune is working to scale the production of high-precision neural implants.

Jaeho Shin, Chemistry, Postdoctoral 2027

Professor James M. Tour Laboratory

Shin is developing next-generation semiconductor and memory technologies to advance computing and AI.

Will Schmid, Electrical and Computer Engineering, Postdoctoral 2025

Professor Alessandro Alabastri Laboratory

Schmid is developing scalable technologies to recover critical minerals from high-salinity resources.

Khadija Zanna, Electrical and Computer Engineering, Ph.D. 2026

Professor Akane Sano Laboratory

Zanna is building machine learning tools to help companies deploy advanced AI in compliance with complex global regulations.

Ava Zoba, Materials Science and Nano Engineering, Ph.D. 2029

Professor Christina Tringides Laboratory

Zoba is designing implantable devices to improve the monitoring of brain function following tumor-removal surgery.

According to Rice, its Innovation Fellows have gone on to raise over $30 million and join top programs, including The Activate Fellowship, Chain Reaction Innovations Fellowship, the Texas Medical Center’s Cancer Therapeutics Accelerator and the Rice Biotech Launch Pad. Past participants include ventures like Helix Earth Technologies and HEXASpec.

“These fellows aren’t just advancing science — they’re building the future of industry here at Rice,” Kyle Judah, Lilie’s executive director, said in a news release. “Alongside their faculty members, they’re stepping into the uncertainty of turning research into real-world solutions. That commitment is rare, and it’s exactly why Lilie and Rice are proud to stand shoulder-to-shoulder with them and nurture their ambition to take on civilization-scale problems that truly matter.”

Houston startup debuts new drone for first responders

taking flight

Houston-based Paladin Drones has debuted Knighthawk 2.0, its new autonomous, first-responder drone.

The drone aims to strengthen emergency response and protect first responders, the company said in a news release.

“We’re excited to launch Knighthawk 2.0 to help build safer cities and give any city across the world less than a 70-second response time for any emergency,” said Divyaditya Shrivastava, CEO of Paladin.

The Knighthawk 2.0 is built on Paladin’s Drone as a First Responder (DFR) technology. It is equipped with an advanced thermal camera with long-range 5G/LTE connectivity that provides first responders with live, critical aerial awareness before crews reach the ground. The new drone is National Defense Authorization Act-compliant and integrates with Paladin's existing products, Watchtower and Paladin EXT.

Knighthawk 2.0 can log more than 40 minutes of flight time and is faster than its previous model, reaching a reported cruising speed of more than 70 kilometers per hour. It also features more advanced sensors, precision GPS and obstacle avoidance technology, which allows it to operate in a variety of terrains and emergency conditions.

Paladin also announced a partnership with Portuguese drone manufacturer Beyond Vision to integrate its Drone as a First Responder (DFR) technology with Beyond Vision’s NATO-compliant, fully autonomous unmanned aerial systems. Paladin has begun to deploy the Knighthawk 2.0 internationally, including in India and Portugal.

The company raised a $5.2 million seed round in 2024 and another round for an undisclosed amount earlier this year. In 2019, Houston’s Memorial Villages Police Department piloted Paladin’s technology.

According to the company, Paladin wants autonomous drones responding to every 911 call in the U.S. by 2027.

Rice research explores how shopping data could reshape credit scores

houston voices

More than a billion people worldwide can’t access credit cards or loans because they lack a traditional credit score. Without a formal borrowing history, banks often view them as unreliable and risky. To reach these borrowers, lenders have begun experimenting with alternative signals of financial reliability, such as consistent utility or mobile phone payments.

New research from Rice Business builds on that approach. Previous work by assistant professor of marketing Jung Youn Lee showed that everyday data like grocery store receipts can help expand access to credit and support upward mobility. Her latest study extends this insight, using broader consumer spending patterns to explore how alternative credit scores could be created for people with no credit history.

Forthcoming in the Journal of Marketing Research, the study finds that when lenders use data from daily purchases — at grocery, pharmacy, and home improvement stores — credit card approval rates rise. The findings give lenders a powerful new tool to connect the unbanked to credit, laying the foundation for long-term financial security and stronger local economies.

Turning Shopping Habits into Credit Data

To test the impact of retail transaction data on credit card approval rates, the researchers partnered with a Peruvian company that owns both retail businesses and a credit card issuer. In Peru, only 22% of people report borrowing money from a formal financial institution or using a mobile money account.

The team combined three sets of data: credit card applications from the company, loyalty card transactions, and individuals’ credit histories from Peru’s financial regulatory authority. The company’s point-of-sale data included the types of items purchased, how customers paid, and whether they bought sale items.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says.

The final sample included 46,039 credit card applicants who had received a single credit decision, had no delinquent loans, and made at least one purchase between January 2021 and May 2022. Of these, 62% had a credit history and 38% did not.

Using this data, the researchers built an algorithm that generated credit scores based on retail purchases and predicted repayment behavior in the six months following the application. They then simulated credit card approval decisions.

Retail Scores Boost Approvals, Reduce Defaults

The researchers found that using retail purchase data to build credit scores for people without traditional credit histories significantly increased their chances of approval. Certain shopping behaviors — such as seeking out sale items — were linked to greater reliability as borrowers.

For lenders using a fixed credit score threshold, approval rates rose from 15.5% to 47.8%. Lenders basing decisions on a target loan default rate also saw approvals rise, from 15.6% to 31.3%.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says. “This approach benefits unbanked applicants regardless of a lender’s specific goals — though the size of the benefit may vary.”

Applicants without credit histories who were approved using the retail-based credit score were also more likely to repay their loans, indicating genuine creditworthiness. Among first-time borrowers, the default rate dropped from 4.74% to 3.31% when lenders incorporated retail data into their decisions and kept approval rates constant.

For applicants with existing credit histories, the opposite was true: approval rates fell slightly, from 87.5% to 84.5%, as the new model more effectively screened out high-risk applicants.

Expanding Access, Managing Risk

The study offers clear takeaways for banks and credit card companies. Lenders who want to approve more applications without taking on too much risk can use parts of the researchers’ model to design their own credit scoring tools based on customers’ shopping habits.

Still, Lee says, the process must be transparent. Consumers should know how their spending data might be used and decide for themselves whether the potential benefits outweigh privacy concerns. That means lenders must clearly communicate how data is collected, stored, and protected—and ensure customers can opt in with informed consent.

Banks should also keep a close eye on first-time borrowers to make sure they’re using credit responsibly. “Proactive customer management is crucial,” Lee says. That might mean starting people off with lower credit limits and raising them gradually as they demonstrate good repayment behavior.

This approach can also discourage people from trying to “game the system” by changing their spending patterns temporarily to boost their retail-based credit score. Lenders can design their models to detect that kind of behavior, too.

The Future of Credit

One risk of using retail data is that lenders might unintentionally reject applicants who would have qualified under traditional criteria — say, because of one unusual purchase. Lee says banks can fine-tune their models to minimize those errors.

She also notes that the same approach could eventually be used for other types of loans, such as mortgages or auto loans. Combined with her earlier research showing that grocery purchase data can predict defaults, the findings strengthen the case that shopping behavior can reliably signal creditworthiness.

“If you tend to buy sale items, you’re more likely to be a good borrower. Or if you often buy healthy food, you’re probably more creditworthy,” Lee explains. “This idea can be applied broadly, but models should still be customized for different situations.”

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This article originally appeared on Rice Business Wisdom. Written by Deborah Lynn Blumberg

Anderson, Lee, and Yang (2025). “Who Benefits from Alternative Data for Credit Scoring? Evidence from Peru,” Journal of Marketing Research.