Houston-based Roovy Technologies has created a mobile app where people can control their dining experience completely from their phones. Photo via roovy.io

Imagine going into a popular restaurant, sitting down at an open table and controlling the entire dining experience from a smartphone.

That's food, drinks, and even dessert all ordered and paid for on a phone.

Prolific Houston-area restaurateur Ken Bridge had the vision to converge dining with technology by creating a digital solution to combat chronic wait times in restaurants.

That vision became the Roovy Technologies mobile app, a platform designed to create the ultimate convenience for gastronauts everywhere.

"Roovy was birthed out of frustration," says Bridge, the serial entrepreneur behind the Delicious Concepts restaurant group. "Years ago, we would typically have lines out the door, so I thought to myself, that with technology, there should be a way for a guest to come in and manage their experience entirely from their phone.

"I felt like guests could go in, get sat at a table and order their food from their phone and pay from their phone and call it a day. That's how the idea of Roovy was conceived."

Three years ago, after putting mock pages together, Bridge started attending South by Southwest Interactive in Austin for research and inspiration. That led to commissioning a local boutique development agency in Houston to build out Roovy's Minimum Viable Product or road map before creating a fully functional platform.

"Roovy is a platform that allows the user to order and pay entirely from their phone," says Bridge. "We will soon be the first company to have all three categories of this type of app: dine-in, take out and delivery."

Bridge deployed Roovy in his Japanese concept restaurant, Blackbird Izakaya, at 1221 W. 11th St. in the Heights several months ago to test out the app before rolling it out to several other restaurants.

"It's a work in progress like everything else," says Bridge, who hopes for Roovy to be deployed in 20 restaurants very soon, then 40. "Everyday we're going to have issues that we need to resolve. But for now, we'll build it, we'll test it, we'll learn and we'll continue to go back and work out the kinks and keep pushing forward from there."

Convenience — on both sides of the transaction

For users, the value proposition is to be able to order and pay from their phone.

"Even a really good server can be impeding at the same time, over-qualifying or checking too much on a table that it becomes a distraction," says Bridge. "With Roovy, when the user is ready to order they can. It's convenience-based technology."

For operators, it streamlines the entire process, up to and including payment.

"We built this as a native solution, so restaurants can technically operate their entire restaurant on one single iPad, while cutting out all hardware," says Bridge.

The restaurant's menu is fully interactive and constantly updated in the app.

When a user places an order, they can add notes to alert the kitchen or bar with their allergies or substitutions and the kitchen or bar receives the notice on the Kitchen Display Side.

That order is then colored and timed, depending on the restaurant's flow and the user then receives a page when the order is ready.

"When restaurant's not packed, they can prepare orders in four minutes, but when packed, it may take eight minutes," says Bridge. "So through the machine learning, they can input a flow time, but then the system intuitively will become more and more intelligent based on the number of tickets and how frequently the operator is stocking and selling a particular item."

Bridge funded Roovy with his own money, so running the cloud-based platform in his own restaurants provided another distinct advantage for his startup's bottom line. And, with operators running the Roovy platform, it has officially entered post-revenue valuation. Roovy's revenue, like other payments facilitators, comes from its restaurant clients.

With the method of payment tied into the app, users pay from their phone and Roovy processes that payment transaction between the user, operator and bank tied to that payment method for a processing fee, much like a point-of-sale provider would with traditional POS devices.

Increasing opportunities for sales

What separates Roovy from other processors, though, is more than just the disruption of bulky hardware, printers and other equipment that can be very expensive for the operator.

It's the ability to maximize sales through convenience.

Case in point: in a busy restaurant, customers who have finished their meal, but possibly have cravings for another drink or a dessert might choose to eschew the urge based on the availability of their wait staff or the line at the bar.

But with Roovy, they could simply add the additional food item or drink to their cart, and have it at their table in no time.

"A lot of restaurants are not taking advantage of opportunities to maximize their sales," says Bridge. "If the per person average for a particular restaurant is $20, the likelihood that there are customers that want one more beer but don't want to go through the motions of ordering it based on service not being around is high. They're going to just leave and the restaurant just missed out on a potential $6.

"That would have been a 30 percent increase in sales," Bridge continues. "So, because of Roovy's ease of use, restaurants can increase their per person revenue and we guarantee an increase of 19 or 20 percent for operators that use our platform."

An additional revenue stream for Roovy centers on its pinpointed marketing campaigns designed to push promotions to its users based on user data and analytics.

"We can help operators run promotions for our users that can be very specific to the demographic of their choice," says Bridge. "They can be very direct and specific push notifications that go out to users based on location, vicinity or proximity, for example. We could also push notifications to a restaurant's repeat customers."

More features to come

For users that want take out, Roovy will be working with predictive arrival technology to estimate better execution times for orders so that they will be as fresh as possible for customer pickup.

Roovy will also be adding "Roovy Coin," a loyalty and rewards programs, as well as a social component for those users that like to share their experience with their friends.

"Beyond this super unique emerging technology, we are building heavily on the sociability aspects of it," says Bridge. "For example, users will be able to check in with friends, plan potential meetups, share video clips with their friends and the community on the platform and be able to review restaurants.

"I kid about this all the time, but most of us remember two things: the first kiss we had and the first time we used Uber. We'll never forget that. Our goal is to come in with that same kind of impact and convince users and operators that Roovy is not just a great technology, it's the inevitable technology that will be adopted on mass levels."

Houston-based VineSleuth created a custom algorithm to match you with new wines based on wines you've had in the past. Courtesy of VineSleuth

Houston entrepreneur makes a splash with wine-selecting technology

Sip, sip, hooray

Amy Gross wants to find you the perfect wine. In fact, she wants it so much, she built her company, VineSleuth, around the concept that technology and machine learning could find the best wine to match individual palates.

VineSleuth's custom algorithm is backed by research from sensory scientists at Cornell University, and relies on both data collection and machine learning to determine specific wines that will match an individual customer's tastes. Flavor profiles from thousands of wines are incorporated into her database, and none of those are based on the typical wine scores you'll see in magazines or reviews of wines.

"We have a team that tastes and analyzes wines and inputs their findings. Then, we have a team that codes all of that data," she says.

VineSleuth's technology can be easily overlaid on a restaurant, grocery store, or other vendor's existing web platform or app to provide a tailor-made experience for customers.

"Take a grocery store setting for example," says Gross. "A customer logs into the store using their loyalty card, and their past wine purchases come up. Our technology can analyze those and point to different selections in the store's inventory they'll enjoy."

Think of it as using big data and machine learning to deliver big returns for wine drinkers.

Gross has been deliberate and incremental in how she's grown her company, and she just got a major boost: back in September, she won the 2018 Start Here Now competition, a combination business pitch event and incubator aimed at encouraging women entrepreneurs. She took home the $10,000 Silicon Valley Bank Grand Prize, as well as an app-design concept prize to help her improve the app she created, and a media and PR consultation.

"It was such an affirmation," she says. "To have them validate our work and my future plans."

Planting the seed
It was a slow and steady growth for Gross, who started work on VineSleuth in 2011. But her wine journey started before that.

"My now-husband asked me out on a date, and I'd just graduated college," she says. "I wanted to be sophisticated, so I ordered the house chardonnay. Well, after four or five dates, I started paying attention to what I was drinking, and I developed my palate."

She and her husband and friends of theirs enjoyed exploring wine together, and on a trip to Napa in 2009, Gross noticed something. All six of them were drinking the same wines — mostly Cabernet Sauvignons from Oakville — but they had remarkably different reactions to them.

"I thought, wouldn't it be great if there were an app that told me what I wanted, not what was 'good?'" Gross says.

While she wasn't sure then how to create such an app, she knew she needed to build up her wine knowledge. She started learning about wine in earnest and launched a wine blog. That gave her access to wine vendors and wine makers.

And then, several things happened in steps. Her brother-in-law wrote a basic algorithm that would collect taste profiles and other details from wines, but Gross needed something more. A neighbor who was an applied mathematician took that original algorithm and built on it.

"When I felt brave enough to show it, I shared it with the owners of some wineries I'd developed a business relationship with in the Finger Lakes," says Gross. "They loved the idea, and it turns out one of the winemaker's wife was a sensory scientist at Cornell. At every key place along building this business, it's been about relationships."

Still fermenting
Gross did create an app, but she admits it's not quite where she wants it to be, so she'll likely tweak it over the coming year. In the meantime, she's focused on the B2B future of VineSleuth. While she says the technology her team has created is currently being used for wine, she knows it's possible to take it and expand its capabilities to beer, chocolate, spirits and other consumables.

Building the business has been both an adventure and a learning curve for Gross, whose background is in journalism and PR. But even though she doesn't come from the technology or STEM side, she says her journalism work made her a great researcher – which is exactly what she needed to build VineSleuth. She's also a driven and detail-oriented project manager.

"My team once called me the den mother, keeping everyone on track," she laughed. "And in a way, I am. But I'm also watching the future of AI happening in front me and I really love hanging out with the brilliant people on my team. This is a blast."


Amy Gross is also working on a consumer-facing app, called Wine4Me, that helps users keep track of their favorite wines and gives recommendations for new wines. Courtesy of VineSleuth

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Houston college joins inaugural workforce accelerator supported by Google

hands-on training

Houston City College (HCC) is one of 15 community colleges from around the country to be selected for the first-ever Workforce Futures Accelerator.

The three-year effort is supported by Google.org, the tech company’s philanthropic arm, and led by the Association of Community College Trustees (ACCT), a non-profit educational organization that represents over 500 community, junior, and technical colleges. The accelerator focuses on helping colleges embed virtual, employer-sponsored training opportunities into short-term workforce training programs, giving participants access to opportunities that they might otherwise receive through internships or other "work-based learning" stints.

"The Workforce Futures Accelerator reflects the Houston City College mission of offering a high-quality, affordable education for workforce training and career development," Pretta VanDible Stallworth, HCC trustee and chair-elect of the ACCT board of directors, said in a news release. "Advancing student success and creating pathways to opportunities ensures that our students are well equipped to succeed and build a secure future in today's economy.”

Through the accelerator, HCC is tasked with fusing online project-based learning opportunities with its workforce education programs. The idea is to give students hands-on experiences working on projects sponsored by employers, allowing them to gain real-world knowledge in the process.

HCC will select two workforce programs that meet the accelerator’s criteria and insert into them into coursework. In the second and third year of the accelerator, the selected colleges are expected to scale the programs by adding instructors and programs to develop a network of to support their continued implementation.

“Participation by HCC will strengthen how we provide students with career-connected learning experiences that complement their classroom education and align with the needs of employers,” HCC Chancellor Margaret Ford Fisher added in the news release. “We are focused on ‘future forward’ strategies to meet the present and future needs of our region’s businesses.”

Two other Texas colleges were chosen to participate in the accelerator: Lamar Institute of Technology in Beaumont and Grayson College in Denison.

The remaining cohort includes:

  • Bergen Community College in Paramus, New Jersey
  • Central Louisiana Community College in Alexandria, Louisiana
  • Clark State College in Springfield, Ohio
  • Great Basin College in Elko, Nevada
  • Heartland Community College in Normal, Illinois
  • Hudson County Community College in Jersey City, New Jersey
  • Manchester Community College in Manchester, New Hampshire
  • Mesa Community College in Mesa, Arizona
  • Mohave College in Kingman, Arizona
  • San Joaquin Delta Community College in Stockton, California
  • San Juan College in Farmington, New Mexico
  • West Virginia University Parkersburg in Parkersburg, West Virginia

New report ranks Texas among top 10 states where AI could disrupt jobs

AI Workforce

A new nationwide report examining where AI could "reshape" the most jobs has ranked Texas No. 9 among the most at-risk states for AI job disruption.

The new SmartAsset report compared all 50 states and the District of Columbia to calculate the estimated percent of the workforce employed in the 26 occupations with the highest AI exposure, as determined by June 2026 research by the Virginia Economic Information and Analytics Division.

The findings revealed that 500,000 Texas workers, or 3.55 percent of the total workforce, are employed in occupations with "high exposure to potential AI disruption."

This also places the Lone Star State as the 9th most at-risk state in the U.S. where AI exposure can lead to "declining hiring demand, wage pressure, task automation, and other forms of disruption."

"States with larger concentrations of highly exposed occupations could experience more pronounced labor-market changes, particularly in roles where core tasks are more vulnerable to AI-driven restructuring," the report's author wrote.

Texas' biggest cities, like Houston and Austin, are known for their thriving tech and business industries, and the study noted that many of the occupations within those sectors are the most at risk. The Virginia Economic Information and Analytics Division said the top five most AI-exposed occupations in the U.S. are: mathematicians, proofreaders, correspondence clerks, court reporters, and media and communication workers. Additionally, computer programmers, database administrators, web developers, telephone operators, and communications equipment operators round out the top 10 most at-risk positions.

These are the 16 remaining occupations most exposed to AI disruption, in order:

  • Data Entry Keyers
  • Statistical Assistants
  • Office Support Workers
  • Interpreters and Translators
  • Database Architects
  • Software Quality Assurance Analysts
  • Medical Transcriptionists
  • Software Developers
  • Writers and Authors
  • Payroll Clerks
  • Web Designers
  • Miscellaneous Computer Occupations
  • Insurance Claims Processors
  • Telemarketers
  • Computer Numerically Controlled Tool Programmers
  • Bookkeeping and Accounting Clerks

A separate SmartAsset report from April 2026 found about 20.5 percent of Texas workers use AI to do their jobs in some capacity. That trend will continue to shift further as employers and employees choose to adopt — or reject — AI implementation.

Across the U.S., Washington topped the list as the state with the highest concentration of AI-exposed jobs, with nearly 5.7 percent of the state's workforce employed in the 26 most at-risk positions. SmartAsset said Washington's high prevalence of technology companies is a significant factor that skyrocketed the state to the top of the list.

"Home to major technology companies including Microsoft, Amazon, T-Mobile and Expedia, the state has large numbers of computer programmers and software developers, two occupations with high exposure," the report said.

Meanwhile, Mississippi ranked No. 51 with the lowest concentration of AI-exposed jobs in the nation. About 22,500 workers in Mississippi, or 1.93 percent of its workforce, are at risk for AI disruption.

The top 10 states where AI could reshape the most jobs are:

  • No. 1 – Washington
  • No. 2 – Virginia
  • No. 3 – District of Columbia
  • No. 4 – California
  • No. 5 – Utah
  • No. 6 – Maryland
  • No. 7 – Colorado
  • No. 8 – New Hampshire
  • No. 9 – Texas
  • No. 10 – North Carolina
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This article originally appeared on CultureMap.com.

UH lands $1.2M NIH grant to fight superbugs using AI, quantum sensing

drug defense

The fight against antibiotic-resistant bacteria like MRSA is getting science fiction-like upgrades at the University of Houston thanks to a new four-year, $1.26 million grant from the National Institutes of Health.

The university says the recent funding brings total federal support up to $3.5 million for 11 years for the project, which uses AI and quantum-sensing technology to better understand how bacterial proteins develop resistance to drugs.

Any medical professional will tell you that one of the worst things that can happen is almost killing an infection. Bacteria that survive attacks from conventional antibiotic treatments emerge tougher, more resistant and more aggressive than before–making them much harder to treat. A good example is the superbug methicillin-resistant Staphylococcus aureus (MRSA).

UH chemistry professors Yuhong Wang and Shoujun Xu are working on this issue. They know full well that fighting superbugs requires new technology and new approaches, which is what they aim to pioneer with their new grant.

“Drug-resistant bacterial infections such as MRSA are becoming harder to treat, creating an urgent need for faster ways to understand how antibiotics and other small molecules interact with bacterial proteins,” Wang said in a news release.

Wang and Xu’s work centers around GTP, a cellular fuel that can cause tiny changes to a cell's structure when it mutates. Sometimes, those shape changes make it easier for drugs to breach the wall and attack the cells.

The UH scientists are employing AlphaFold, an AI-powered tool that can scan large molecular libraries in seconds. From these models, they can see promising drug combinations for future testing.

Once identified, the team uses their invention, super-resolution force spectroscopy, to monitor the cells. Tiny magnetic beads are attached to genetic material, then magnified to see how strong that material is when pulled. They can measure this incredible microscopic process through an atomic magnetometer, typically used in quantum physics. Combined, all these tools allow a high-definition look at how each molecule might respond to new chemical approaches.

“We're the only chemists in the world that use an atomic magnetometer for biological research,” Xu said. “It's a technique developed by physicists, and there is usually a gap between techniques developed by physicists and biological applications. Yuhong and I have been bridging that gap together for the past 10 years.”

Eventually, Wang and Xu hope to develop powerful software that can be used by drug manufacturers to model cellular responses. With enough predictive data, the software could even get ahead of superbugs’ own mutation, allowing drugs to be developed before new strains arrive.

"We want an algorithm where you input a protein sequence, score the mutation hotspots, and develop new inhibitors before a drug-resistant species even emerges," Wang added.