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-based HPE wins $931M contract to upgrade military data centers

defense data centers

Hewlett Packard Enterprise (HPE), based in Spring, Texas, which provides AI, cloud, and networking products and services, has received a $931 million contract to modernize data centers run by the federal Defense Information Systems Agency.

HPE says it will supply distributed hybrid multicloud technology to the federal agency, which provides combat support for U.S. troops. The project will feature HPE’s Private Cloud Enterprise and GreenLake offerings. It will allow DISA to scale and accelerate communications, improve AI and data analytics, boost IT efficiencies, reduce costs and more, according to a news release from HPE.

The contract comes after the completion of HPE’s test of distributed hybrid multicloud technology at Defense Information Systems Agency (DISA) data centers in Mechanicsburg, Pennsylvania, and Ogden, Utah. This technology is aimed at managing DISA’s IT infrastructure and resources across public and private clouds through one hybrid multicloud platform, according to Data Center Dynamics.

Fidelma Russo, executive vice president and general manager of hybrid cloud at HPE, said in a news release that the project will enable DISA to “deliver innovative, future-ready managed services to the agencies it supports that are operating across the globe.”

The platform being developed for DISA “is designed to mirror the look and feel of a public cloud, replicating many of the key features” offered by cloud computing businesses such as Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform, according to The Register.

In the 1990s, DISA consolidated 194 data centers into 16. According to The Register, these are the U.S. military’s most sensitive data centers.

More recently, in 2024, the Fort Meade, Maryland-based agency laid out a five-year strategy to “simplify the network globally with large-scale adoption of command IT environments,” according to Data Center Dynamics.

Astros and Rockets launch new streaming service for Houston sports fans

Sports Talk

Houston sports fans now have a way to watch their favorite teams without a cable or satellite subscription. Launched December 3, the Space City Home Network’s SCHN+ service allows consumers to watch the Houston Astros and Houston Rockets via iOS, Apple TV, Android, Amazon Fire TV, or web browser.

A subscription to SCHN+ allows sports fans to watch all Astros and Rockets games, as well as behind-the-scenes features and other on-demand content. It’s priced at $19.99 per month or $199.99 annually (plus tax). People who watch Space City Network Network via their existing cable or satellite service will be able to access SCHN+ at no additional charge.

As the Houston Chronicle notes, the Astros and Rockets were the only MLB and NBA teams not to offer a direct-to-consumer streaming option.

“We’re thrilled to offer another great option to ensure fans have access to watch games, and the SCHN+ streaming app makes it easier than ever to cheer on the Rockets,” Rockets alternate governor Patrick Fertitta said in a statement.

“Providing fans with a convenient way to watch their favorite teams, along with our network’s award-winning programming, was an essential addition. This season feels special, and we’re committed to exploring new ways to elevate our broadcasts for Rockets fans to enjoy.”

Astros owner Jim Crane echoed Feritta’s comments, adding, “Providing fans options on how they view our games is important as we continue to grow the game – we want to make it accessible to as large an audience as possible. We are looking forward to the 2026 season and more Astros fans watching our players compete for another championship.”

SCHN+ is available to customers in Texas; Louisiana; Arkansas; Oklahoma; and the following counties in New Mexico: Dona Ana, Eddy, Lea, Chaves, Roosevelt, Curry, Quay, Union, and Debaca. Fans outside these areas will need to subscribe to the NBA and MLB out-of-market services.

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This article originally appeared on CultureMap.com.

Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI.

In a study recently published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.