Sensor-enabled rubber ducks might be the solution to keeping track of major weather events. Courtesy of Project Owl

Nearly two years after Hurricane Harvey battered the Houston area, a flock of electronic "rubber ducks" flew above homes in Katy in a broader endeavor to keep first responders and victims connected during natural disasters.

Developers and backers of Project Owl, an Internet of Things (IoT) hardware and software combination, conducted a pilot test of this innovation June 1 — the first day of this year's hurricane season. In the Katy test, 36 "ducks" took flight.

Bryan Knouse, co-founder and CEO of Project Owl (organization, whereabouts, and logistics), says the initiative marries:

  • A deployable IoT network of DuckLink devices that can quickly provide a basic WiFi setup where communications infrastructure might be down, like a region where a hurricane just hit. A single device can connect through WiFi to smartphones and laptops.
  • A software data visualization platform that speeds up and simplifies data monitoring on the Clusterduck network.

"So, our technology can be deployed to help communities that have been destroyed after natural disasters by providing quickly accessible communications network to coordinate and organize a response," Knouse tells InnovationMap.

The DuckLink network comprises hubs resembling rubber ducks, which can float in flooded areas if needed. It takes only five of these hubs to cover one square mile. This network sends speech-based communications using conversational systems (like Alexa and Facebook Messenger) to a central application. The app, the Owl software incident management system, relies on predictive analytics and various data sources to build a dashboard for first responders.

"Once this network of ducks is deployed and then clustered, civilians are able to basically get on the devices through a really intuitive interface and contact first responders with a list of things that are really essential to them," Project Owl team member Magus Pereira explained in an October 2018 blog post.

Project Owl, which won IBM's Call for Code Global Challenge in 2018, is being developed by Code and Response, an IBM program that puts open source technologies in communities that most need them. Knouse and Houston software engineer Charlie Evans lead Project Owl.

In a June 6 blog post, Evans recalled the widespread damage his hometown suffered during Hurricane Harvey and stressed the importance of efforts like Project Owl.

"The sheer magnitude of storms like this," Evans writes of Hurricane Harvey, "and the fact that extreme weather isn't going anywhere anytime soon, really drive home the point that effective communication and logistics are among the highest [priorities] for organizations that are involved with rescuing people and with cleanup."

Katy was the second pilot site for Project Owl. The first large-scale test was done in March in Puerto Rico.

Members of the Project Owl team were pleased with the Katy test. Knouse says the speed of DuckLink deployment improved versus the Puerto Rico test, and the network error transmission rate fell from more than 30 percent to around 10 percent.

"This test is important for anyone who wants to see how we will support communities during natural disasters," Knouse tells InnovationMap. "The growth and improvement [seen in the Katy test] confirms that we can continue to improve the speed, scale, and performance of the network, elevating confidence that if it's deployed during a real disaster, we can support recovery and critical life saving activities."

Following the Puerto Rico and Katy pilots, Project Owl will test the technology again later this year in Puerto Rico, as well as in Alabama, California, and Washington state, according to Knouse.

"It's one thing to build something in a lab and say, 'It works.' It's another to have complete strangers watch the technology deployment and say, 'It works — we need this as soon as possible.' And we are working at maximum capacity to make that happen," Knouse wrote in May.

Owl deploys duck technology

Courtesy of Project Owl

About five of the "rubber ducks" are needed to track one square mile.

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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.”