Oil and gas startup exec positions Houston company for more growth in 2019

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Christopher Robart leads Ambyint — a technology company creating the Nest thermostat for oil rigs — with his twin brother, Alex. Courtesy of Ambyint

Most of Christopher Robart's 10-year career in oil and gas has been deliberate and calculated — researching the right startup to be involved in or finding the right buyer for a company he invested in. However, his actual start in the industry wasn't so intentional.

"I sort of fell into oil and gas after I got of college back in 2003," says Robart, who is the president of Ambyint USA. "Before that, I was involved in a few startup things — some digital and some not. I was always sort of an entrepreneur."

Robart shares the passion of entrepreneurialism with his twin brother, Alex, CEO of Ambyint. The two have similar work experiences, since they act as an oil and gas startup team in Houston. One of the first companies the duo bought and sold was PacWest Consulting Partners, which was sold to IHS Energy in 2014, Robart says. The second one, Digital H2O, they founded, grew the team, lead some investments, and sold it to Genscape in 2015.

The pair's newest endeavor is Ambyint, an oilfield smart technology company with Canadian origins. The Robart brothers have been involved in it for about two and a half years.

Christopher Robart spoke with InnovationMap about his career and what he hopes to accomplish with his oil and gas startup in 2019.

InnovationMap: How did you and your brother first get involved in Ambyint?

Christopher Robart: After we left IHS, we knew that our next up was going to be software and upstream oil and gas, but there were a lot of question marks. We did our due diligence. We leveraged all that information we found and settled on which market we wanted to be in. We ended up finding Ambyint and liked what they had built to date, but they had some gaps and shortcomings, particularly on the commercial side, and they had no U.S. presence. We thought those two gaps were something we'd be helpful filling out. We went through a fairly lengthy process to lead an investment into the company, and essentially took over through that process.

IM: So, Ambyint still has an office in Canada?

CR: The Canada office is primarily a technology office, with some sales capabilities up there. The U.S. is primarily sales, marketing, and customer support.

IM: How does the technology work?

CR: The easiest way to explain it is we're like a Nest thermostat for your oil wells. It's a piece of hardware and a piece of software. It's wired into the well's control system and tied up to cloud-based software. From there, we've been deploying artificial intelligence, machine learning, deep learning, etc.

IM: What do you look for in customers?

CR: Oil companies of any shape or size, really. Oil and gas industry aren't really known for being early adopters of technology. There's a lot of resistance to change, particularly at the production level, which we focus on. So we're looking for early adopters looking to lead the way.

We're in pretty much all the major oil-producing areas in the U.S. and Canada. We also have customers in Mexico, Chili, and Egypt. There's a few more countries in the Middle East we're trying to get into.

IM: Are you planning another fundraising round?

CR: We'll embark on a series B in the near future. We closed our series A, and it was pretty large, so we're in a good place. (The series closed in September of 2017 with $11.5 million raised, according to Crunchbase.)

IM: What are your goals for 2019?

CR: We've built a lot of cool technology, and we continue to do that. Our focus for 2019 is to continue to commercialize and expand our customer base. Our sales cycle is pretty long. It could be a year from the time we bring an initial lead to the table, running a pilot, getting results, and developing a plan. It's a long, slow, and, in some cases, a painful process.

When you're doing things like machine learning, you're teaching a machine how to do something a human would do something. What's required to do that is a massive amount of data to start, and from there, it's a never ending journey of data collection and monitoring your accuracy.

We've been focused on one specific artificial lift pump — every well will eventually take a piece of artificial lift pump. We work on the most common artificial lift pump, but it's just one of six key types. In addition to selling more of that pump, we are in the process of expanding to additional lift types.

IM: What keeps you up at night, as it pertains to your business?

CR: Change management. Getting our customers to adopt new technology and embrace change. That's it. We're constantly trying to get our customers to move more quickly.

IM: How do you and your brother work together? Do you each play different roles in the company?

CR: Our backgrounds are similar. We're twins, but we have personality differences. I spend a little more time with our customers than he does and with new product initiatives. I get pretty hands on.

His mandate is less focused on walking and talking with customers and more on managing the functions of the business and working with the leadership team. As well as financing and fundraising.

We've got a pretty good division of labor, but there is a lot of overlap of what we do.

IM: What are some of the pros and cons of being in Houston?

CR: Obviously the pro of being in Houston is it being the oil capital of the world. All our customers are here. It's sort of a must.

The downside of running a technology company in town is that tech talent is quite thin on the ground in Houston — especially what we're looking for. So, we don't have any tech team members in the Houston office. I'll put it mildly in that we are skeptical of the talent pool for really strong software developers in the Houston market.

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Portions of this interview have been edited.

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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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