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."

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”