Houston-based Corva, an AI-optimized analytics company, is in the process of hiring — a lot. Photo via corva.ai

While the oil and gas industry may be in store for sluggish growth in 2020, that's hardly the case for Houston-based energy tech startup Corva AI LLC.

Corva — which offers a real-time data analytics platform for drilling and completion (the stage when a well is prepared for production) — added 85 employees last year, mostly in Houston. And it's on track to make 150 new hires in 2020, including software developers, researchers, drilling engineers, and data analysts, says Courtney Diezi, the company's general manager. Two-thirds of this year's new hires will work in Houston, she says.

Diezi says the company's headcount currently stands at 120, with 100 employees in Houston and 20 in Ukraine.

Corva has expanded so much and so quickly that it outgrew its previous 11,000-square-foot office and is now at The Cannon, a coworking space and innovation hub in the Energy Corridor. It's set to move later this year to a new 40,000-square-foot space at The Cannon.

Founded in 2014 by CEO Ryan Dawson, Corva has raised just $3 million in outside funding to propel its growth.

"Our business has grown exponentially at the same pace as companies raising hundreds of millions in funding," Dawson says. "While the startup world has chased endless rounds of funding with the notion of either becoming a unicorn — or dying — we have focused on creating a company that cares deeply about our employees and a business that lasts 100 years."

Dawson describes Corva as the "modern brains" of drillings and completions. Oil and gas equipment sends millions of datapoints to Corva to help make complex decisions about drilling operations, she says. About 40 customers use Corva's technology.

In a 2019 news release, Dawson said Corva gauges its success "by the number of days we save on rigs, the costs we can quantifiably cut, and the number of catastrophic events we prevent." Corva's technology has saved millions of dollars for its customers and reduced the length of drilling projects by as many as three days, he said.

"Corva's challenge is to change the behavior of drillers who work for somebody else," the Journal of Petroleum Technology reported in 2019. "The fast-growing company has no shortage of users. Retaining those customers will require convincing oil companies that the real-time drilling data and analysis is creating enough value to justify the cost."

Corva's user-focused approach to developing technology helps attract and retain customers. Executives say they consider Corva a tech company that operates in the oil and gas sector rather than an oil and gas company that happens to develop software.

"Our software platform rivals Netflix and Twitter in terms of giant datasets and real-time processing," Diezi says. "Without a core expertise and founding team in software, we wouldn't be able to provide the amazing technology we do — it's too central to what we do. Corva is the perfect mixture of oil industry veterans and software whiz kids. Our customers love to work with us because we speak their language but provide world-class products solving hard problems."

As it continues to enlarge its workforce, Corva seeks to foster a workplace that embraces both oil industry veterans and software whiz kids.

"We want to be the most admired workplace in Houston, with a Google-like status both for our amazing products and our company culture," Diezi 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.”