Wyzerr, a member of Station Houston's Ion Smart Cities Accelerator, has a way to better collect information from citizens. Photo courtesy of Wyzerr

In a 2019 report card handed out by Cincinnati-based startup Wyzerr, Houston didn't do too well — It got a C, a 2.5 out of 4. Houston is passing, but just barely.

Wyzerr didn't give the city a bad rating; Houstonians did. In July, Wyzerr sent two researchers downtown to hang out near public places — bus stops, street corners, etc. Overall, respondents said they are satisfied with dining options, shopping, and the airports but were really struggling to embrace long commutes, poor local transit, and even public services: the police department, local government, schools and parking all got grades of C minus.

Wyzerr, which has ventured to Houston to partake in the ongoing Ion Smart Cities Accelerator out of Station Houston, is focused on creating surveys that make it easier for companies — and, increasingly, cities and airports — to collect useful information to improve their offerings.

"You can't build perfect cities," says Natasia Malaihollo, founder of Wyzerr. "But if you make small, incremental improvements, you can start to see a difference in communities (through Wyzerr's smart surveys)."

Wyzerr began in June 2014 and focused on designing smart survey for retailers. Now, the company works with more than 2,100 small and large businesses, including Kroger, Walmart, Facebook, Unilever — a lot of consumer packaged goods, Malaihollo says.

Wyzerr is focused on creating engaging surveys to better collect information. Photo courtesy of Wyzerr

Consumers interact with many of these brands on a near-daily basis, and Malaihollo estimates a person might get his with 7 surveys in a day — some of which require dialing in, or going online, or filling out responses on a sheet of receipt paper.

But Wyzerr makes surveys fun — they're interactive and game-like. Most importantly, though, they're short. Nearly every survey is designed to wind a customer through 25 questions about their experience with a certain retailer, product or service in 30 to 60 seconds. There's a science to it — shorter word counts on survey questions, for example, and making the final questions as engaging as possible, because people usually start answering more quickly, and maybe less thoughtfully, toward the end of a survey form.

Malaihollo calls this a design-focused approach to market research, and it has gotten results. In some surveys, Wyzerr was able to gather data on up to 20 percent of total consumers. Unlike most survey engagement, which usually falls lower, Wyzerr's data meets the threshold for statistical analysis — a valid sample size, in mathematics, is 10 percent of the population.

Two years ago, the Cincinnati Airport approached them. Amid a stream of reports that airports would develop into great hubs for the future of retail, the Cincinnati Airport team wanted a way to track shoppers' satisfaction as they trafficked through the terminals. Wyzerr created a survey that connected to the airport's Wi-Fi system — if users wanted to log on, they had to take a brief survey first.

"That ended up being our most successful campaign," Malaihollo says.

Wyzer, which has a team of 12, has raised $2 million and is getting ready to raise more. Upon completion of the accelerator program, the company will work with a Houston neighborhood for a pilot program, and the team hopes to get their survey system on the Wi-Fi system in Houston airports early next year.

Now, Wyzerr focuses on gathering data for smart cities — urban spaces that offer higher-tech solutions to regular city activities, like parking, and use electronic sensors to collect data that helps monitor the public. For example, cities across the U.S. have adapted free Wi-Fi on public transit, parking lot trackers, smart traffic lights to reduce congestion, automated bike-sharing programs and pedestrian detectors at intersections.

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Houston unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

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This article first appeared on EnergyCapitalHTX.com.

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.”