ExxonMobil named two winners in its inaugural reverse pitch competition with BBL Ventures. Courtesy of OctoRD

ExxonMobil and BBL Ventures have teamed up to flip the script on pitch competitions. Rather than have startups pitch themselves, the two companies collaborated on a reverse pitch event where Exxon identifies a few problems and search for companies that can build a solution.

The purpose of the event, says Tim Westhoven, technology scouting and venturing at ExxonMobil at the Baytown refinery, was to get the company out of its day-to-day to spark new ideas and innovation.

"Typically, as an engineer, when we think about how we solve a problem, we start inside the organization," Westhoven says at the event, which took place on Wednesday, June 5, at Station Houston. "Then we think about what problems we want to solve. Sometimes, you don't even think at all about what's available on the outside. This reverse pitch is us thinking about the impact we want to have and what the outside can offer."

In his experience, once an organization goes outside itself for solutions, they can find more options to choose from.

"As we cycle through and innovate on these things and find more and more outside solutions to a particular problem, we find the impact scales very quickly," Westhoven says.

The reverse pitch contest, which launched in March, asked for solutions to two problems ExxonMobil employees actually encounter. The first is regarding the opening process equipment, with the goal being to "create a method to stop exposure to flow or residual material," according to the website. The company needs a device that works remotely, thus reducing the risk of exposure and contact with the material for technicians.

The other problem ExxonMobil is looking to solve has to do with reducing arc flash that result in exposure to electrical charges. The company has "identified the promotion of personal safety as a priority action in addressing and reducing negative events on campuses globally," the website says. All the specifics for these two issues are available online.

For both problems, ExxonMobil wants AI and automation involved — and that's deliberate to minimize human involvement, which can lead to error.

"Human error causes 40 to 70 percent of those issues," Westhoven says. "This is why we are looking to robotics and automation to solve this problem."

Seven companies pitched during the evening, and two — one for each solution — were named winners. Here's what solutions stood out to the judges, potentially took home $60,000, and are up for a pilot program at ExxonMobil.

Opening Process Equipment: OctoRD

Courtesy of OctoRD

OctoRD's OPE solution includes using materials that are already available on the market to create a safer solution to the current process. In fact, Kevin Larsen, founder of Phoenix, Arizona-based OctoRD, even brought an early prototype to his pitch to demonstrate for the judges.

"My whole background has been taking technology, applying it to problems, and getting it into production and real life," he says.

OctoRD's product would take 90 days to get to market. It would allow for employees to open and close the device from up to 15 feet away, and, should an emergency occur, would have an automatic shutting feature. While the current model satisfies the requirements for the category, Larsen's pitch even included future ways to advance the tool.

Reducing Arc Flash: CBS ArcSafe

Courtesy of CBS ArcSafe

CBS ArcSafe, based in Denton, Texas, has been around for a while and knows how to increase worker safety using technology, says Justin Gaull, marketing manager for CBS ArcSafe. The company has designed over 700 tools for safety purposes.

"Our business is the business of safety, and decreasing arc flash hazards is our priority," he says to the crowd at the pitch event.

The company's solution would take 10 weeks or less to get from discovery to production to market. The technology includes a switchgear box, the Elliot 230-PM, that syncs with a remote that allows workers to operate well out of the arc flash zone — even up to 300 feet away with the wireless option. There would also be a video camera able to capture a view of the gauges so the operator can see them in real time.

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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.”