Houston startup founder is reinventing medical devices by thinking outside the pillbox

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Regina Vatterott is thinking outside the traditional pillbox. Courtesy of Regina Vatterott

One day in college on her way to lunch with some friends, Regina Vatterott fainted on the sidewalk. It wasn't anything serious, but she had a few vitamin deficiencies and hadn't eaten in a while. After that, she started taking her daily supplements more seriously.

She tried using the traditional pillbox, but it would take her forever to organize. And she hated how her friends would call it, in a loving, playful way, her "old people pillbox."

She joined forces with a few like-minded individuals at her school to create a health and wellness accessory, rather than a medical device. They bought craft supplies and hand-glued LED lights to the first prototype of what would become EllieGrid, a smart pillbox that syncs with an app on your phone so that you can easily program your medicinal schedule and receive alerts of when to take what.


EllieGrid is a smart pillbox that syncs with your phone.Courtesy of Regina Vatterott

Vatterott, who was interning at a company that did social media marketing for independent pharmacies nationwide, saw an underserved market of adults who have a need for a product like this. EllieGrid targets the Baby Boomer age and younger, usually between ages 35 and 55.

Now, EllieGrid is growing from its initial presale phase to setting a system in place where Houstonians can find EllieGrid in stores or online.

InnovationMap: You and your team were only college students when you started. How did you get funding?

Regina Vatterott: We started pitching business plan competitions all over the country — even as far as Barcelona. We raised money — and some of it wasn't even money, but resources, like access to 3D printers or free office space. It was an amazing tool for us, and it helped validate us and helped us perfect our business plan. We ended up raising like $200,000 just in business plan competitions.

After that, we knew we had to prove it in market. Last year, we ran a crowdfunding campaign on IndieGoGo. Our goal was to raise $40,000, and we raised around $167,000. In January of this year, we shipped all the products that were preordered on IndieGoGo to 37 different countries.

IM: What's been the biggest challenge?

RV: The very beginning, the challenge was affording our legal fees — it's not something you want to skimp on, but was incredibly expensive. After that, it was simply manufacturing. It's never easy. It's always going to cost three times as much and take three times as long as you expect. With our plastics, we use a process called injection molding, and if the temperature is off, the plastics will dry in a different way and the pieces won't fit together. It's an obnoxious challenge that we're still facing today.

IM: What's next for you or your company?

RV: Right now, we are making that transition from pre-selling products to just regular sales. It's easier said than done because we are making sure that supply chain is efficient and on time. We are finishing up a batch of 1,000 units to work with that we'll just sell on our website. Once we have information on how we can sell these units, we want to work with distributors, so we are working on creating those relationships now.

IM: How has being headquartered in Houston been?

RV: This is a very affordable place and has a lot of resources for startups. I will say our one struggle is there's not a lot of funding for hardware startups — especially for consumers — like ours. That's more in California or New York.

IM: Thinking more long term, what do you have in mind for EllieGrid and your team?

RV: For EllieGrid, we want to implement artificial intelligence. We want to be able to take the data of how the user is interacting with the device and be able to predict when people will forget to take their meds to prevent any issues with medication.

For us, Ellie is just the start. We want to develop more health and wellness accessories that are traditionally known to be medical devices. One example we give is how eyeglasses used to be medical devices, and now glasses are a fashion accessory. We want to do more and more with medical devices because we think that people are always people before they are patients.

IM: What's the worst piece of advice you've received?

RV: In the beginning when we'd pitch this idea to doctors, they would tell us we were wasting our time because patients don't care what a product looks like as long as it works. I don't really get that anymore, because we're proving that wrong now.

The product is available online on the EllieGrid website, and the app is available for download. Courtesy of Regina Vatterott

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Portions of this interview have been edited.

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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.”

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