Fourteen companies are joining the spring cohort of the Softeq Venture Studio. Photo courtesy of Softeq

A Houston tech company has announced the latest cohort of its accelerator program, bringing the total number of startups supported by the company to 63.

Softeq Development Corp., a technology services development company, named 14 new startups joining its three-month spring Softeq Venture Studio cohort.

“We are so proud of the success we have had with the Softeq Venture Studio, helping to support and secure funding for 63 startups to date through the Softeq Venture Fund," says Christopher A. Howard, founder and CEO of Softeq. "With 23 of 89 founders coming from outside of the U.S., we demonstrate Houston’s growing influence as a startup hub where entrepreneurs can find a welcoming innovation community, a strong talent base, and world-class research facilities."

The spring 2023 cohort for Softeq includes:

  • Houston-based AIM7, data intelligence platform that unlocks wearable and mHealth data to provide customized and predictive wellness solutions.
  • Avendly, based in Providence, Rhode Island, makes robotic automation for restaurants to help, not supplant humans. Its first of many products is Mixibot, an integrated back-bar cocktail vending system.
  • Founded in Austin, ClioVis, is meeting today’s content-creator students where they are and how they learn. The company provides unique experiential learning tools designed for today’s content-creator students who learn by doing, not lectures.
  • Based in Tel Aviv, Israel, Flometrica, is a digital health solution featuring "use anywhere" devices to remotely monitor and diagnose various urinary tract problems through analysis of different urine parameters.
  • Gophr, from Lake Charles, Louisiana, is a technology-driven logistics company that provides tailored and efficient delivery solutions for various industries, individuals, and businesses of all sizes.
  • Chicago-based KarChing puts cash in teens’ hands for safe driving. The only app built for parents, teens, and insurance companies that rewards drivers for phone- and distraction-free behavior behind the wheel.
  • Houston-founded Meander collects travel customer satisfaction micro-surveys as people go about their trips. The research platform rewards travelers for sharing their pics, videos, and insights.
  • MEedia, based in Sacramento, California, puts a professional press conference event in your pocket. Individuals can create broadcast-worthy interactive shareable content with just their phone.
  • MeterLeader, from Huntington Beach, California, gamifies saving energy in homes by using real-time utility data and behavioral science. We're like a Fitbit challenge for your home, but instead of steps we measure kWh, therm, and CO2 reductions.
  • Houston-based PayOnDelivery, integrates secure payment with delivery for markets like Craigslist and Facebook. It’s low-hassle, fraud-free buying and selling for peer-to-peer marketplaces.
  • Another Lake Charles business, Picasso Analytics has a platform that can reduce delays and save oil refiners and petrochem owners 10 to 15 percent on multi-million dollar turnaround events by providing a single source of truth integrating the schedule, time entry, and shop status.
  • Sarasota, Florida-based Toivoa develops software-based therapies for people with disabilities who experience mental health disorders. On track for FDA approval, the platform is prescription-based, clinically validated, and delivered on your phone.
  • UpBrainery Technologies, founded in Houston, helps students explore careers through digital experiences. AI guides their interests in career paths and credentials their achievements for employers and colleges.
  • Also from Houston, WellWorth (https://wellworthapp.com/), is a financial modeling SaaS platform that helps upstream oil and gas finance leaders improve their decision-making around raising, managing, and deploying capital.

Softeq Venture Studio launched over a year ago with its inaugural cohort in 2021, and the fund was launched last year. Since launch, Softeq has raised 80 percent of its inaugural $40 million Softeq Venture Fund and made investments in 63 startups. Softeq has also reformatted its accelerator program to include two cohort classes per year, allowing for more time to be spent with the Venture Studio and its cohort startups.

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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.”