12 health tech startups named to Houston accelerator's next bootcamp

onboarding

Meet the latest global health tech startups to get an invite to Houston from TMC Innovation. Photo via tmc.edu

Twelve promising health tech startups have been selected for the annual bootcamp at the Texas Medical Center.

TMC's Accelerator for HealthTech selected 12 companies from around the world and across specialties for the opportunity. Following the bootcamp, TMC will move forward a selection of startups to join its accelerator.

"Houston, a thriving hub for innovation, is rapidly becoming the destination of choice for healthtech companies," reads a statement from TMC. "With the Texas Medical Center at its heart, the city offers unparalleled resources, cutting-edge research facilities, and a collaborative spirit that fosters growth. This environment not only attracts startups but also provides them with the necessary tools to navigate the complex landscape of healthcare commercialization."

Through the bootcamp, the participants will engage with advisors and industry experts, refine their business models, prepare for market entry, and have opportunities for collaboration with the TMC's member organizations.

The selected bootcamp companies, according to TMC, include:

  • Alyf, founded in Newport Beach, California, has developed a personalized cardiac care system that brings patients and providers together with real-time, AI-driven insights, enabling them to monitor, track, and improve cardiac health outcomes collaboratively.
  • Seoul, South Korea-based Deepmetrics leverages artificial intelligence to provide ICU smart care services that optimize medical device settings, such as mechanical ventilators, to reduce mortality and shorten the length of stay for critically ill patients worldwide.
  • Equity Quotient, from New York City, is a healthcare intelligence platform that automates compliance and provides actionable insights by aggregating public, private, and first-party data, using proprietary analytics to help leaders address disparities, improve outcomes, and lower care costs.
  • Also from New York City, Ethermed's AI-powered solution streamlines prior authorizations, eliminating up to 90 percent of auths and 70 percent of the labor involved. Ethermed requires no workflow changes, is fully auditable, and offers aligned incentives from a mission-driven, human-focused company.
  • Fibricheck, based in Hasselt, Belgium, transforms ordinary smartphones into regulated digital heart rhythm monitors, offering unparalleled access to cardiovascular diagnostics for patients and streamlined workflows for physicians.
  • Austin-based NearWave has developed a non-invasive, AI-powered handheld imaging device that can predict breast cancer therapy response within seven days.
  • Pragmaclin, founded in Newfoundland, Canada, developed a cutting-edge PRIMS (Parkinson’s Remote Interactive Management System) that leverages depth cameras and machine learning to monitor and assess Parkinson’s Disease symptoms, offering healthcare professionals remote and in-clinic insights to enhance treatment decisions.
  • Somnair, a Baltimore, Maryland, company, is developing a non-invasive neurostimulation oral appliance for treating obstructive sleep apnea, offering a sleek, retainer-sized device that provides an effective alternative to CPAP or invasive surgery for millions of patients.
  • Vancouver, Canada-headquartered Total Flow Medical is developing solutions to enhance the quality of care and life for patients requiring the use of a heart-lung machine during surgery or life support.
  • Tympulse, hailing from Dublin, Ireland, is commercializing TympanoColl, an innovative and disruptive solution for eardrum (Tympanic Membrane) repair in an outpatient setting through the ear canal.
  • Perth, Australia-based Vital Trace is developing a continuous lactate monitor for real-time, accurate detection of fetal distress.
  • New York City's WorkUp is a healthcare-specific talent pipeline management platform that connects students with tailored resources for their clinical career journey, providing personalized support as their needs evolve.
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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.”

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