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 researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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