Digital dinner

Growing Houston startup is digitizing the dining experience

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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Building Houston

 
 

Sieve Health is an AI cloud-based SaaS platform designed to automate and accelerate matching patients with clinical trials. Photo via Getty Images

On many occasions in her early career, Dr. Arti Bhosale, co-founder and CEO of Sieve Health, found herself frustrated with having to manually sift through thousands of digital files.

The documents, each containing the medical records of a patient seeking advanced treatment through a clinical trial, were always there to review — and there were always more to read.

Despite the tediousness of prescreening, which could take years, the idea of missing a patient and not giving them the opportunity to go through a potentially life-altering trial is what kept her going. The one she didn’t read could have slipped through the cracks and potentially not given someone care they needed.

“Those stories have stayed with me,” she says. “That’s why we developed Sieve.”

When standard health care is not an option, advances in medical treatment could be offered through clinical trials. But matching patients to those trials is one of the longest standing problems in the health care industry. Now with the use of new technology as of 2018, the solution to the bottleneck may be a new automated approach.

“Across the globe, more than 30 percent of clinical trials shut down as a result of not enrolling enough patients,” says Bhosale. “The remaining 80 percent never end up reaching their target enrollment and are shut down by the FDA.”

In 2020, Bhosale and her team developed Sieve Health, an AI cloud-based SaaS platform designed to automate and accelerate matching patients with clinical trials and increase access to clinical trials.

Sieve’s main goal is to reduce the administrative burden involved in matching enrollments, which in turn will accelerate the trial execution. They provide the matching for physicians, study sponsors and research sites to enhance operations for faster enrollment of the trials.

The technology mimics but automates the traditional enrollment process — reading medical notes and reviewing in the same way a human would.

“I would have loved to use something like this when I was on the front lines,” Bhosale says, who worked in clinical research for over 12 years. “Can you imagine going through 10,000 records manually? Some of the bigger hospitals have upwards of 100,000 records and you still have to manually review those charts to make sure that the patient is eligible for the trial. That process is called prescreening. It is painful.”

Because physicians wear many hats and have many clinical efforts on their plates, research tends to fall to the bottom of the to-do list. Finding 10-20 patients can take the research team on average 15-20 months to find those people — five of which end up unenrolling, she says.

“We have designed the platform so that the magic can happen in the background, and it allows the physician and research team to get a jumpstart,” she says.” They don’t have to worry about reviewing 10,000 records — they know what their efforts are going to be and will ensure that the entire database has been scanned.”

With Sieve, the team was able to help some commercial pilot programs have a curated data pool for their trials – cutting the administrative burden and time spent searching to less than a week.

Sieve is in early-stage start up mode and the commercial platform has been rolled out. Currently, the team is conducting commercial projects with different research sites and hospitals.

“Our focus now is seeing how many providers we can connect into this,” she says. “There’s a bigger pool out there who want to participate in research but don’t know where to start. That’s where Sieve is stepping in and enabling them to do this — partnering with those and other groups in the ecosystem to bring trials to wherever the physicians and the patients are.”

Arti Bhosale is the co-founder and CEO of Sieve Health. Photo courtesy of Sieve

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