James Yockey is a co-founder of Landdox, which recently integrated with ThoughtTrace. Courtesy of Landdox

The biggest asset of most oil and gas companies is their leasehold: the contracts or deeds that give the company the right to either drill wells and produce oil and gas on someone else's land, or give them title to that land outright. A typical oil and gas company is involved in thousands of these uniquely negotiated leases, and the software to keep these documents organized hasn't been updated in more than a decade, says James Yockey, founder of Houston-based Landdox.

Landdox does just that: provides an organizational framework for companies' contracts and leaseholds. The company recently entered into an integration with Houston-based ThoughtTrace, an artificial intelligence program that can scan and pull out key words and provisions from cumbersome, complicated contracts and leaseholds.

With this integration, companies can use ThoughtTrace to easily identify key provisions of their contracts, and then sync up those provisions with their Landdox account. From there, Landdox will organize those provisions into easy-to-use tools like calendars, reminders and more.

The framework behind the integration
The concept behind Landdox isn't entirely new — there are other software platforms built to organize oil and gas company's assets — but it's the first company in this space that's completely cloud-based, Yockey says.

"Within these oil and gas leases and other contracts are really sticky provisions … if you don't understand them, and you're not managing them, it can cause you to forfeit a huge part of your asset base," Yockey says. "It can be a seven-, eight-, or nine-digit loss."

These contracts and leases can be as long as 70 or 80 pages, Yockey says, and have tricky provisions buried in them. Before the integration with ThoughtTrace, oil and gas companies would still have to manually pour over these contracts and identify key provisions that could then be sent over to Landdox, which would organize the data and documents in an easy-to-use platform. The ThoughtTrace integration removes a time-consuming aspect of the process for oil and gas companies.

"[ThoughtTrace] identifies the most needle moving provisions and obligations and terms that get embedded in these contracts by mineral owners," Yockey says. "It's a real source of leverage for the oil and gas companies. You can feed ThoughtTrace the PDF of the lease and their software will show you were these provisions are buried."

The origin story
Landdox was founded in 2015, and is backed by a small group of angel investors. Yockey says the investors provided a "little backing," and added that Landdox is a "very capital-efficient" software company.

Landdox and ThoughtTrace connected in 2017, when the companies were working with a large, private oil and gas company in Austin. The Austin-based oil and gas company opted to use Landdox and ThoughtTrace in parallel, which inspired the two companies to develop an integrated prototype.

"We built a prototype, but it was clear that there was a bigger opportunity to make this even easier," Yockey says. "To quote the CEO of ThoughtTrace, he called [the integration] an 'easy button.'"

The future of ERP software
Landdox's average customer is a private equity-backed E&P or mineral fund, Yockey says, thought the company also works with closely held, family-owned companies. Recently, though, Landdox has been adding a new kind of company to its client base.

"What's interesting is we're starting to add a new customer persona," Yockey says. "The bigger companies – the publicly traded oil and gas companies –have all kinds of different ERP (Enterprise Resource Planning) software running their business, but leave a lot to be desired in terms of what their team really needs."

At a recent North American Prospect Expo summit, Yockey says that half a dozen large capitalization oil and gas producers invited Landdox to their offices, to discuss potentially supplementing the company's ERP software.

"Instead of trying to be all things to all people, we stay in our lane, but find cool ways to connect with other software (companies)," Yockey says.

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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.”