Why this Houston health care professional jumped in the founder seat to disrupt the industry

problem solver

Ayoade Joy Ademuyewo founded Lokum last year to create a solution to better connecting medical specialists with health care facilities nationwide. Photo courtesy of Lokum

Ayoade Joy Ademuyewo says that anesthesiology is “the coolest thing in the world.” That’s why she became a certified registered nurse anesthetist.

And that career, which she says is “the perfect blend of science and art,” led to the creation of her startup, Lokum.

Lokum App is a matchmaking engine that aims to connect Ademuyewo’s peers with jobs. She explains that before her innovation, staffing for nurse anesthetists traditionally owed to job boards 30 years older than she was or to recruitment agencies that left them at a disadvantage.

“I didn't want to use that job board because it was sort of difficult to use and I didn't want to use it and a lot of other people felt the same way,” she recalls.

When a desperate friend asked for her help navigating the terrain of finding CRNA work as an independent contractor, Ademuyewo says the wheels began turning in her mind.

“I just thought, 'Why can't I open up my phone and see all of the available jobs to me, based on my preferences and my skills? And I can easily select from them to go to my next job.' And that's sort of where the questions started. And I just kept asking those questions. And I think about two or three years into asking the questions I was like, 'Oh my gosh, I think I'm starting a company,'” Ademuyewo says.

In the hours that she wasn’t in surgery, the CRNA began doing market research.

“As I was studying the market, and mapping it out, these really complex mind maps started to happen. And it was almost a natural conclusion that the more you understand the problem, the more the solution starts to appear to you,” she explains.

And she saw that the obvious solution was also potentially a big opportunity for her to create something entirely new — neither a job board nor an agency, but something entirely new. Ademuyewo calls Lokum a “matchmaking engine.” It takes the preferences, specialties and skills of CRNAs like her and matches them to jobs that make sense for them. To date, the pilot has connected users with around 200 hospitals and clinics in 20 states.

Fortunately, because there are so few CRNAs in practice, they are a unified bunch.

“It’s a really well-networked profession,” says Ademuyewo. “ I'm lucky to be in a profession where what we do is really special and really specialized.”

Because she was already part of the tight knit community, the founder had no trouble finding pilot customers. She worked with Houston-based Octaria Software to engineer the technical side of the app, as well as another local cybersecurity firm to work on infrastructure.

Lots of big news has come for Ademuyewo in the first half of 2024. She participated in this year’s cohort of the Google for Startups Accelerator Program-North America, which she says helped to gain traction in her fundraising amid a bear market.

The result? Early this month, Lokum announced a raise of $700,000 in pre-seed funding, which will be allocated to improving and enhancing the existing technology. Those funds came from Houston investors including Aileen Allen, of the Houston Angel Network, Mercury, and The Artemis Fund; and Matt Miller, former Liongard product executive, as well as from Houston-based VC firm South Loop Ventures. More came from the non-local JP Morgan and Techstars.

Today, Ademuyewo is devoted full-time to Lokum, though she still practices her favorite combination of science and art on weekends in order to maintain her licensure.

“I will always be clinical, that will never change,” she says. “Part of that is just staying close to the problem and the people who are experiencing it, I think that is exactly the right thing for me to be doing.”

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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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