EllieGrid, the smart pillbox, is using user data to ensure medicine compliance. EllieGrid/Instagram

What if your pillbox was enabled to use technology to not only notify you to take your medicine, but also predict when you might be likely to miss a dosage. For Houston-based EllieGrid, this hypothetical situation isn't too far from reality.

EllieGrid reimagines the normal pillbox. Rather than sorting your medicine into days and times, which can take a good amount of time, you sort your medicine in its own compartments. Then, once you've programmed the free app with your medicine schedule, you get notifications to your phone when it's time to take your pills. EllieGrid's compartments light up to indicate which medicine to take and how many pills.

"What's really neat about EllieGrid is that we are starting to learn users' habits as days go by, so that we can trigger alarms at optimal times," says co-founder and CEO Abe Matamoros at The Cannon's female entrepreneurs pitch night.

If a user needs to take their medicine between 8 and 10 a.m. every day, the alarm might go off earlier during the week, and later in that bracket of time on the weekends, according to when the user tends to wake up.

While convenient, EllieGrid's ability to track users' compliance actually adds even more value to the company's product — as do the monthly surveys users are invited to take, which helps the company get to know their user and their medical profile.

"We realize that most people go to the doctor once every six months, but a lot can happen during that time," Matamoros says. "But if they get used to this monthly dialogue, that's extremely valuable. And by combining these things, we can really decrease the probability that they stop taking their medicine."

Insurance companies pay pharmacists up to $60 to call patients who haven't picked up their medicine within 30 to 60 days, Matamoros says. But EllieGrid can tell if users failed to take their medication the day of and can notify the user or their family members — and even insurance companies — with much more immediacy.

The startup has seen a growing interest from major players in the retail sector. At the Consumer Technology Association's Consumer Electronics Show in early January, EllieGrid co-founder, Regina Vatterott, says the company received market validation and interest from a few international health-related retail companies. Now, the Houston-based team, which has in the past focused on direct-to-consumer sales, is looking to solidify its infrastructure and supply chain to make sure it can fulfill potential B-to-B orders.

In an interview last year, Vatterott told InnovationMap that the bigger picture that her and her co-founders are trying to do is transform traditional medical devices into consumer-focused health accessories.

"We want to do more and more with medical devices because we think that people are always people before they are patients," Vatterott says.

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Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

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.”