IBM and Boxes recently partnered to integrate the IBM watsonx Assistant into Boxes devices, providing a way for consumer packaged brands to find out more than ever about what its customers like and want. Photo courtesy of Boxes

With the help of a new conversational artificial intelligence platform, a Houston startup is ready to let brands get up close and personal with consumers while minimizing waste.

IBM and Boxes recently partnered to integrate the IBM watsonx Assistant into Boxes devices, providing a way for consumer packaged brands to find out more than ever about what its customers like and want.

The Boxes device, about the size of a 40-inch television screen, dispenses products to consumers in a modern and sustainable spin on the old-fashioned large vending machine.

CEO Fernando Machin Gojdycz learned that business from his entrepreneur father, Carlos Daniel Machin, while growing up in Uruguay.

“That’s where my passion comes from — him,” Gojdycz says of his father. In 2016, Gojdycz founded Boxes in Uruguay with some engineer friends

Funded by a $2,000 grant from the University of Uruguay, the company's mission was “to democratize and economize affordable and sustainable shopping,” in part by eliminating wasteful single-use plastic packaging.

“I worked for one year from my bedroom,” he tells InnovationMap.

The device, attached to a wall, offers free samples, or purchased products, in areas of high foot traffic, with a touch-screen interface. Powered by watsonx Assistant, the device asks survey questions of the customer, who can answer or not, on their mobile devices, via a QR code.

In return for completing a survey, customers can get a digital coupon, potentially generating future sales. The software and AI tech tracks sales and consumer preferences, giving valuable real-time market insight.

“This is very powerful,” he says.

Fernando Machin Gojdycz founded Boxes in Uruguay before relocating the company to Greentown Houston. Photo courtesy of Boxes

Boxes partnered in Uruguay with major consumer brands like Kimberly-Clark, SC Johnson and Unilever, and during COVID, pivoted and offered PPE products. Then, with plans of an expansion into the United States, Boxes in 2021 landed its first U.S. backer, with $120,000 in funding from startup accelerator Techstars.

This led to a partnership with the Minnesota Twins, where Boxes devices at Target Field dispensed brand merchandise like keychains and bottles of field dirt.

Gojdycz says while a company in the Northeast is developing a product similar in size, Boxes is not “targeting traditional spaces.” Its software and integration with AI allows Boxes to seamlessly change the device screen and interface, remotely, as well.

Boxes aims to provide the devices in smaller spaces, like restrooms, where they have a device at the company's headquarters at climate tech incubator Greentown Labs. Boxes also recently added a device at Hewlett Packard Enterprise's headquarters in Spring, as part of HPE’s diversity startup program.

Boxes hopes to launch another sustainable innovation later this year, in universities and supermarkets. The company is also developing a device that would offer refillable detergent and personal cleaning products like shampoo and conditioner with a reusable container.

Since plastic packaging accounts for 40 percent of retail price, consumers would pay far less, making a huge difference, particularly for lower-income families, he says.

“We are working to make things happen, because we have tried to pitch this idea,” he says.

Some supermarket retailers worry they may lose money or market share, and that shoppers may forget to bring the refill bottles with them to the store, for example.

“It’s about..the U.S. customer,” he says, “….but we think that sooner or later, it will come.”

Boxes has gotten funding from the accelerator startup branch of Houston-based software company Softeq, as well as Mission Driven Finance, Google for Startups Latino Founders Fund, and Right Side Capital, among others.

“Our primary challenges are scaling effectively with a small, yet compact team and maintaining control over our financial runway,” Gojdycz says.

The company has seven employees, including two on its management team.

Gojdycz says they are actively hiring, particularly in software and hardware engineering, but also in business development.

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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.