Growing Houston startup is digitizing the dining experience

Digital dinner

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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Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

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 recently 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.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.

Houston-area lab grows with focus on mobile diagnostics and predictive medicine

mobile medicine

When it comes to healthcare, access can be a matter of life and death. And for patients in skilled nursing facilities, assisted living or even their own homes, the ability to get timely diagnostic testing is not just a convenience, it’s a necessity.

That’s the problem Principle Health Systems (PHS) set out to solve.

Founded in 2016 in Clear Lake, Texas, PHS began as a conventional laboratory but quickly pivoted to mobile diagnostics, offering everything from core blood work and genetic testing to advanced imaging like ultrasounds, echocardiograms, and X-rays.

“We were approached by a group in a local skilled nursing facility to provide services, and we determined pretty quickly there was a massive need in this area,” says James Dieter, founder, chairman and CEO of PHS. “Turnaround time is imperative. These facilities have an incredibly sick population, and of course, they lack mobility to get the care that they need.”

What makes PHS unique is not only what they do, but where they do it. While they operate one of the largest labs serving skilled nursing facilities in the state, their mobile teams go wherever patients are, whether that’s a nursing home, a private residence or even a correctional facility.

Diagnostics, Dieter says, are at the heart of medical decision-making.

“Seventy to 80 percent of all medical decisions are made from diagnostic results in lab and imaging,” he says. “The diagnostic drives the doctor’s or the provider’s next move. When we recognized a massive slowdown in lab results, we had to innovate to do it faster.”

Innovation at PHS isn’t just about speed; it’s about accessibility and precision.

Chris Light, COO, explains: “For stat testing, we use bedside point-of-care instruments. Our phlebotomists take those into the facilities, test at the bedside, and get results within minutes, rather than waiting days for results to come back from a core lab.”

Scaling a mobile operation across multiple states isn’t simple, but PHS has expanded into nine states, including Texas, Oklahoma, Kansas, Missouri and Arizona. Their model relies on licensed mobile phlebotomists, X-ray technologists and sonographers, all trained to provide high-level care outside traditional hospital settings.

The financial impact for patients is significant. Instead of ambulance rides and ER visits costing thousands, PHS services often cost just a fraction, sometimes only tens or hundreds of dollars.

“Traditionally, without mobile diagnostics, the patient would be loaded into a transportation vehicle, typically an ambulance, and taken to a hospital,” Dieter says. “Our approach is a fraction of the cost but brings care directly to the patients.”

The company has also embraced predictive and personalized medicine, offering genetic tests that guide medication decisions and laboratory tests that predict cognitive decline from conditions like Alzheimer's and Parkinson’s.

“We actively look for complementary services to improve patient outcomes,” Dieter says. “Precision medicine and predictive testing have been a great value-add for our providers.”

Looking to the future, PHS sees mobile healthcare as part of a larger trend toward home-based care.

“There’s an aging population that still lives at home with caretakers,” Dieter explains. “We go into the home every day, whether it’s an apartment, a standalone home, or assisted living. The goal is to meet patients where they are and reduce the need for hospitalization.”

Light highlighted another layer of innovation: predictive guidance.

“We host a lot of data, and labs and imaging drive most treatment decisions,” Light says. “We’re exploring how to deploy diagnostics immediately based on results, eliminating hours of delay and keeping patients healthier longer.”

Ultimately, innovation at PHS isn’t just about technology; it’s about equity.

“There’s an 11-year life expectancy gap between major metro areas and rural Texas,” Dieter says. “Our innovation has been leveling the field, so everyone has access to high-quality diagnostics and care, regardless of where they live.”

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