Houston humanoid robotics startup Persona AI hires new strategy leader

new hire

Michael Perry previously worked at Boston Dynamics and DJI. Photo courtesy of Persona AI

Houston-based Persona AI, a two-year-old startup that develops robots for heavy industry, has hired an automation and robotics professional as its head of commercial strategy.

In his new position, Michael Perry will focus on building Persona AI’s business development operations, coordinating with strategic partners and helping early adopters of the company’s humanoids. Target customers include offshore platforms, shipyards, steel mills and construction sites.

Perry previously served as vice president of business development at Boston Dynamics, where he led market identification for robotics, and as an executive at DJI. He holds a bachelor’s degree in Chinese and government studies from the University of Texas at Austin.

“Now is the perfect time to join Persona AI as we rapidly close the gap between what’s possible in the lab versus what’s driving real commercial value,” Perry says. “Building industry-hardened humanoid hardware and production-deployable AI is only one piece of the puzzle.”

“Getting humanoids into operations for heavy industry will require the systematic commercial and operational work that makes enterprises humanoid-ready and defining the business case, solving the integration challenges, and building the playbook for safe, scalable adoption,” he adds. “That’s what I’m here to build.”

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A concept design rendering of Persona AI's humanoid robot. The company is expanding at the Ion and plans to deliver prototype humanoids by the end of 2026 for complex shipyard welding tasks. Rendering courtesy Persona AI.

Houston humanoid robotics startup inks new deal to deploy its rugged robots

big deal

Houston-based Persona AI announced the expansion of its operations at the Ion and a major milestone in deploying its humanoid robots.

The company will establish a state-of-the-art development center in the prominent corner suite on the first floor of the Ion, and is slated to begin expansion in June.

“We chose the Ion because it’s more than just a building — it’s a thriving innovation ecosystem,” CEO Nicolaus Radford said in a news release. “This is where Houston’s tech future is being built. It’s a convergence point for the people, energy, and ideas that power our mission to redefine human-machine collaboration. For an industrial, AI-driven robotics company, there’s no better place to scale than in the heart of Houston.”

Persona AI’s new development center will be located in the suite utilized by the Ion Prototyping Lab, managed by TXRX Labs. The IPL will transition its operations to the expanded TXRX facility in the East End Maker Hub, which will allow the lab to grow its team and meet increased demand.

At the start of the year, Persona AI closed $25 million in pre-seed funding. Earlier this month, the company announced a memorandum of understanding with HD Korea Shipbuilding & Offshore Engineering, HD Hyundai Robotic, and Korean manufacturing firm Vazil Company to create and deploy humanoid robots for complex welding tasks in shipyards.

The project will deliver prototype humanoids by the end of 2026, with field testing and full commercial deployment scheduled to begin in 2027.

"As heavy industry faces growing labor constraints—especially in high-risk trades like welding—the need for rugged, autonomous humanoid robots is more urgent than ever,” Radford added in a separate statement. “This partnership with HD Hyundai and Vazil is more than symbolic—deploying to the shipyard is one of the largest real-world proving grounds for Persona's tough, humanoid robots.”

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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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