A concept design rendering of Persona AI's humanoid robot. Co-founder and CEO Nic Radford expects customers to take delivery of its first robot in 18 to 24 months. Rendering courtesy Persona AI.

A Houston-based startup developing AI-powered humanoid robots for manufacturers and other businesses has raised more than $10 million in pre-seed funding less than a year after its founding.

Nic Radford, co-founder and CEO of Persona AI, declines to disclose the amount raised. However, he tells InnovationMap that it was an eight-figure total.

While not providing names, Radford says Persona AI’s first outside investors include VC firms, institutions and high-net-worth individuals in the U.S., London and Singapore. One of the high-net-worth investors was among the first employees at SpaceX, Elon Musk’s Brownsville, Texas-based aerospace company, according to Radford.

No Houston investors have participated in the funding round yet. However, Radford says he’s working on bringing aboard one local investor before the round closes.

“Houston’s the perfect city to do a company like this in,” Radford says. “It’s just not the perfect investor climate, but it's the perfect city from a customer aspect.”

Persona AI’s pre-seed funding comes amid a dramatic surge in investment capital chasing AI startups. Global funding for AI-related companies exceeded $100 billion in 2024, up more than 80 percent from the 2023 total, Crunchbase data shows.

Radford and co-founder Jerry Pratt, the startup’s chief technology officer, bootstrapped Persona AI. The third co-founder, Jide Akinyode, serves as Persona AI’s chief operating officer. Radford and Akinyode helped develop NASA’s six-foot-two-inch Valkyrie humanoid robot and both are former employees of Webster-based Nauticus Robotics, a provider of autonomous subsea robots.

Persona AI launched last June in what Radford calls “anti-stealth mode.” The startup is close to announcing its first customer, which does business in the industrial sector. Persona AI expects customers to take delivery of its first robot in 18 to 24 months, Radford says.

Persona AI will operate primarily as a robotics-as-a-service provider, with the company retaining ownership of the lifelike robots and selling the labor that they supply. Radford says the startup’s robots will help alleviate a shortage of skilled labor in sectors like manufacturing.

A report released last year by consulting firm Deloitte and the Manufacturing Institute declared that as many as 1.9 million manufacturing jobs in the U.S. could go unfilled between 2024 and 2033 due to a skills gap and a tight labor market.

Persona AI competes in a market with enormous potential. In November, analysts at Citi Global Insights projected that the global market for humanoid robots could soar to $7 trillion by 2050, with 650 million of the robots tackling all sorts of jobs.

Radford says Personal AI is developing a “rugged” five-foot-eight-inch humanoid robot that’s able to survive tough indoor and outdoor conditions and take on tasks like carting around sheet metal, tending to metal-stamping machines, moving storage bins and handling order fulfillment. He likens his company’s robot prototype to a Ford F-150 pickup truck, compared to the less-sturdy versions produced by robotics competitors, which he calls the Toyota Camry or Volkswagen Beetles of the field.

Radford says he and his team “are building a really compelling startup in one of the hottest markets and one of the greatest cities.” Employees work at Persona AI’s headquarters in Houston or its satellite office in Pensacola, Florida, where Pratt is located.

“We don’t hire anybody that’s not a rock star or superstar,” says Radford, “and I think the city is going to benefit tremendously from our efforts at Persona.”

Radford saw his last company, Nauticus Robotics, from founding to IPO, left the company in January and previously told InnovationMap that he couldn't get the idea of advancing humanoid robotics out of his head. Read more here.

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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.”