Sepsis has been the No. 1 killer hospitals, but this Houston startup has a tech to help mitigate the risk. Photo via Getty Images

Anyone can die of sepsis. The number one killer in hospitals has a reputation for felling the infirm and elderly, but while the immunocompromised are at highest risk, sepsis isn’t that selective.

Take 12-year-old Rory Staunton. In 2012, the healthy boy scratched his arm diving for a ball in gym class at his school in Jackson Heights, NY. Bacteria entered his arm through the cut and he died days later of septic shock.

His story is not unique. Physician Sarma Velamuri saw this firsthand in his internal medicine practice at St. Luke’s Health Center and his residency at Baylor, both in Houston. But it really struck home when he watched helplessly as a friend’s 22-year-old daughter lost her life to sepsis. He had to tell his friend that she would not be coming home.

“There are 300,000-plus people a year who die of sepsis,” says Velamuri. “It’s important that people understand it’s not just those who are most susceptible to infections.”

This fact is not only unfortunate, but preventable. And that’s why Velamuri, who describes himself as “a recovering hospitalist,” co-founded Luminare in 2014. A full-time CEO since 2017, Velamuri, who runs the company with co-founder and CTO Marcus Rydberg, is based in the TMC Innovation Factory.

“Because of the complex workflows in hospitals, sometimes it takes 10 people to get the patient the care they need,” Velamuri explains.

And because of the pervasiveness of sepsis, it’s important to screen every patient who enters an institution before it gets to that point.

Luminare’s technology allows nurses, who are notoriously spread thin, to automatically screen patients in 10 seconds using 50 different parameters.

“We’re looking at a vast amount of data simultaneously,” says Velamuri. “We’re not generating any new data, we’re taking data that exists and shining a light on it.”

In 2020, the technology found a new application when Velamuri and his team created a version of Luminare that helped with the hospital workflow surrounding COVID PCR testing and vaccine management. Since then, it has also been used to help identify and treat monkeypox.

Though Velamuri says he doesn’t want to distract Luminare from its goal of making sepsis the number-two killer in hospitals, he is also aware that his technology can be instrumental in identifying and treating patients at risk for countless other maladies, including heart failure and stroke, and even helping with oncology workflows.

Velamuri says that his team is Luminare’s biggest strength, far more than the AI that they have designed.

“I have this saying that AI is a great servant but a terrible master. It doesn’t solve the problem,” says Velamuri.

Though the company is distributed as far afield as Stockholm, about half of its people live and work in Houston. Of the company’s placement in TMC’s Innovation Factory, Velamuri says, “They’ve been tremendous partners to us. The company would not be as successful today without their supportive partnership.” Not least of that is working with in the same space as other founders who can share their expertise as easily as a trip to the coffee machine.

And the company is growing quickly. Last year, Luminare participated in Cedars-Sinai’s accelerator program. Thanks to that partnership, the hospital is now using Luminare’s technology for sepsis screening. The team is working to partner with even more large hospital systems on solutions for one of the health industry’s biggest problems. And data that shows that Luminare can be the path to preventing death from hospitals’ most prolific killer.

Sarma Velamuri went from MD to CEO when he founded Luminare. Photo via luminare.io

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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.”