Houston energy innovators create more efficient logistics platform for industry

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Breaker19 is an Uber-like truck booking platform founded by two Houstonians. Photo by Marcin Jozwiak/Pexels

In a world where ”the customer is always right," two Houston founders have followed that rule right to their next venture.

Breaker19 — a groundbreaking mobile application built in late 2023 to be an efficient oilfield trucking and hotshot marketplace — was co-founded by Rodney Giles and Tyler Cherry. The native Houstonians also co-founded BidOut, a leading Oil & Gas procurement platform in 2021.

“About a year ago, one of our BidOut clients, a large operator, came to us and basically said that the biggest problem they have in the oil field is ordering trucks,” remembers Giles. “From there, they asked would we be willing to build something similar to Uber, but for oilfield logistics and trucking? So, we built Breaker19.”

After their customer presented a challenge, Giles and Cherry got to work. They envisioned the technical architecture almost immediately and assembled a team of software engineers to build an in-house application in less than a year.

“We launched Breaker19 in November 2023, and my goodness, it has taken off like crazy,” says Giles. “It is growing incredibly fast. We’re doing hundreds of truckloads a day now, all throughout West Texas, South Texas, North Dakota, really all over the U.S.”

Now, armed with such large publicly traded companies as British Petroleum, Breakout19 has a network of more than 1,500 trucks similar to transportation companies like Uber, where drivers make themselves available to be dispatched according to their health, safety and environmental requirements.

Breaker19 is doing so well, in fact, that it’s sped past Giles and Cherry’s original collaboration, BidOut.

“Breaker 19's probably, you know, growing ten times of where BidOut even was in its early days,” says Giles. “So, we'll always explore options that make sense for our shareholders. Fortunately, my co-founder and I have previous companies that we built and sold and have experience in scaling and have experiences in multiple departments, whether it be finance or sales or marketing or operations.

“So, currently, we do operate BidOut and Breaker19 separately, but they are, you know, through common operating structures. And, you know, we're able to maintain the scale and maintain the growth right now. And right now, the company is doing great financially and has cash flow positives. So, for us, you know, our goal is just to continue. I feel like we've kind of solved an archaic problem and did it in a really simple way, and it's working out pretty well.”

And it all started with a simple question from a customer — "Hey, can you guys come up with something like this?"

“It all came together just by listening to our customer’s needs,” says Giles. “And we always try to go into our clients and help them with a lot of what they do. But we always want to know about what their other pain points are. You know, there's still people, you know, that are operating with very archaic processes, very, you know, manual back-office processes. And our job is to speed them up with software. And so Breaker19 was able to do that.”

Practically speaking, Breaker19 is more than a software solution. It also closes the gap between qualified drivers and end clients by vetting participants for the platform in an efficient and pragmatic fashion.

“We have a very rigorous vetting process for the drivers,” Giles explains. “I mean, that's really what makes the oil and gas trucking industry so unique. Insurance requirements have to be significantly higher than most carriers. They have to go through very well-funded safety trainings where they are familiar with the oil field. And then number three, these drivers have to have personal protective equipment. They have to have flame-retardant clothing, they have to have slo-mo boots and they have to have hard hats.”

Procedure is important, but professionalism is equally important to Breaker19.

“You know, we do not allow the carrier to show up on a customer's locations in shorts and flip-flops or Crocs and, you know, be protected,” says Giles. “And so, for what we're dealing with is very mission critical, but also very, you know, very high-risk.

“For example, we are checking insurance statuses four times a day. If a carrier were to cancel their insurance, we're aware of it immediately because we want to make sure that we always have active insurance in place. So, we have a process that these carriers go through. Again, we've got over 1,500 of them now that are well-vetted and well-qualified.”

As Breaker19 continues to scale, Giles and Cherry hope their burgeoning app becomes the go-to ordering platform for the entire oil and gas industry for all of their trucking, hot shot and transportation needs.

“We're bringing on some significant, large enterprise clients right now that make up 10% of the U.S. market share for each customer,” says Giles “So I think when we start to compound those, I think we easily see the trajectory there as really being something that's taking off pretty fast. So, I think at the end of the day, we just hope to keep delivering a great experience for our clients, make their ordering process easy.”

With both BidOut and Breaker19 doing great financially, proud Klein Oak High School alums Giles and Cherry have purchased a steer to support Texas youth and agricultural causes. Additionally, moving forward, the duo pledges to give away a full steer each month to a customer of their Breaker19 platform.

"We are passionate about giving back to our community and nurturing the next generation of leaders in Texas," says Cherry. "Having personally experienced the transformative impact of FFA, we saw this initiative as a meaningful way to both support local agriculture and provide our clients with a taste of authentic Texas beef.”

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This article originally ran on InnovationMap.

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Houston companies advance 200MW green ammonia plant in South Texas

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Two global companies with a major presence in Houston are teaming up on a green ammonia plant in Port of Victoria, Texas.

Topsoe, a Danish company with operations in Houston and Bayport, Texas, has been tapped to provide ammonia synthesis technology for the project being developed by First Ammonia, a New York-based company with offices in Houston and Denmark.

The flagship 200-megawatt plant will use renewable electricity to produce green hydrogen through electrolysis, which will then be combined with nitrogen from a nearby Air Liquide pipeline to make green ammonia, according to First Ammonia. It is expected to serve both U.S. and global markets.

According to First Ammonia, every 100,000 tons of electric ammonia produced avoids approximately 240,000 tons of CO2 emissions compared to fossil ammonia

The Topsoe technology used on site is designed to be able to increase production from 10 percent to 100 percent within 30 minutes, and decrease production at a similar rate, allowing the plant to respond to fluctuations from solar- or wind-based energy sources.

“Topsoe is the world leader in ammonia synthesis, and First Ammonia is delighted to continue our partnership with them in establishing a green ammonia industry in the US and around the world,” Joel Moser, CEO of First Ammonia, said in a news release.

Topsoe has previously signed on to supply its 100-megawatt solid oxide electrolyser (SOEC) to the First Ammonia project. However, the company announced in March that it did not extend the contract after multiple delays.

The First Ammonia project was originally expected to come online by 2027 and to produce 1.1 million tonnes of green ammonia. The project is now expected to reach financial before the end of 2026, with construction slated to begin in 2027 and commercial operations launching by 2029.

“As green ammonia projects move from ambition to execution, operational flexibility becomes increasingly important,” Yassir Ghiyati, chief commercial officer at Topsoe, added in a news release. “We’re proud to support First Ammonia with technology designed to enable efficient and reliable green ammonia production. We look forward to continuing to work with the First Ammonia team to help bring this important U.S project to life.”

NASA and Houston researcher tackle climate-driven water quality risks

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Climate change means far more to public health than living with hotter days. Transformations in our weather are contributing to challenges in accessing safe drinking water in some communities.

One of the most dire situations is along the US–Mexico border. The National Aeronautics and Space Administration (NASA) is seeking to address that issue with its Water Quality Applications program. An 11-researcher project led by a UTHealth Houston School of Public Health faculty member has been selected to participate.

“Drinking water is one of the most fundamental public health protections, but producing safe drinking water involves a delicate balance,” Yun Hang, assistant professor of environmental and occupational health sciences, said in a news release. Her team’s proposal was one of 93 that were submitted for funding through NASA’s Research Opportunities in Space and Earth Sciences (ROSES)-2025 program.

This is the first time that NASA has worked with a team devoted to water quality applications. The group, which includes researchers from across the nation, will use satellite observations of Earth, as well as hydrologic modeling, to potentially anticipate and act on water quality conditions as they change. Challenges addressed over the course of the three-year program, which kicked off in June, might include problems with water quality due to climate variability and increased pressure on water resources.

Hang’s team will focus on a pair of borderlands: Paso del Norte and the Rio Grande Valley.

“Working closely with El Paso Water ensures that our research addresses real operational needs while helping utilities better prepare for climate-related water quality changes and continue providing safe drinking water to communities across the Texas border region,” Hang added in the release.

She and the team will use data gathered by NASA on both past and future Earth-observing missions, which will allow them to track environmental changes that may affect source water quality. Combined with past water treatment records and hydrologic models, the team will also utilize artificial intelligence to develop predictive tools that aim to stop issues before they become larger hurdles to water safety.

Another one of the project’s goals is to create visualization tools and source water summaries that can be utilized by those without scientific expertise. The tools will be produced in English and Spanish to further broaden their accessibility.

The hope is that the materials made by the team will also go far beyond the border, with protocols that can be adapted or adopted by other areas dealing with water quality issues.

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This article originally appeared on our sister site, InnovationMap.com.

New research reveals what really drives data center location decisions

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Recent power outages and the surge in AI-driven computing have made data center siting decisions more consequential than ever, especially as energy and water constraints tighten. Communities invest public dollars on the promise of jobs and growth, while firms weigh long-term commitments to land, power and connectivity.

Against that evolving backdrop, a critical question comes into focus: Where do data centers get built — and what actually drives those decisions?

A new study by Tommy Pan Fang (Rice Business) and Shane Greenstein (Harvard Business School) provides the first large-scale statistical analysis of data center location strategies across the United States. It offers policymakers and firms a clearer starting point for understanding how different types of data centers respond to economic and strategic incentives.

Published in the journal Strategy Science, the study examines two major types of infrastructure: third-party colocation centers that lease server space to multiple firms, and hyperscale cloud centers owned by providers like Amazon, Google and Microsoft.

Key takeaways:

Third-party colocation centers are physical facilities in close proximity to firms that use them, while cloud providers operate large data centers from a distance and sell access to virtualized computing resources as on‑demand services over the internet.
Hospitals and financial firms often require urban third-party centers for low latency and regulatory compliance, while batch processing and many AI workloads can operate more efficiently from lower-cost cloud hubs.
For policymakers trying to attract data centers, access to reliable power, water and high-capacity internet matter more than tax incentives.

What are the two main data center location strategies?

The study draws on pre-pandemic data from 2018 and 2019, a period of relative geographic stability in supply and demand. This window gives researchers a clean baseline before remote work, AI demand and new infrastructure pressures began reshaping internet traffic patterns.

The findings show that data centers follow a bifurcated geography:

Third-party centers cluster in dense urban markets, where buyers prioritize proximity to customers despite higher land and operating costs.
Cloud providers, by contrast, concentrate massive sites in a small number of lower-density regions, where electricity, land and construction are cheaper and economies of scale are easier to achieve.

Third-party data centers, in other words, follow demand. They locate in urban markets where firms in finance, healthcare and IT value low latency, secure storage, and compliance with regulatory standards.

Using county-level data, the researchers modeled how population density, industry mix and operating costs predict where new centers enter. Every U.S. metro with more than 700,000 residents had at least one third-party provider, while many mid-sized cities had none.

This pattern challenges common assumptions. Third-party facilities are more distributed across urban America than prevailing narratives suggest.

“For industries where speed is everything, being too far from the physical infrastructure can meaningfully affect performance and risk,” Pan Fang says. “Proximity isn’t optional for sectors that can’t absorb delay.”

In critical operations, even slight pauses can have real consequences. For hospital systems, lag can affect performance and risk exposure. And in high-frequency trading, milliseconds can determine whether value is captured or lost in a transaction.

Why does distance matter for cloud data center costs?

For cloud providers, the picture looks very different. Their decisions follow a logic shaped primarily by cost and scale. Because cloud services can be delivered from afar, firms tend to build enormous sites in low-density regions where power is cheap and land is abundant.

These facilities can draw hundreds of megawatts of electricity and operate with far fewer employees than urban centers. “The cloud can serve almost anywhere,” Pan Fang says, “so location is a question of cost before geography.”

The study finds that cloud infrastructure clusters around network backbones and energy economics, not talent pools. Well-known hubs like Ashburn, Virginia — often called “Data Center Alley” — reflect this logic, having benefited from early network infrastructure that made them natural convergence points for digital traffic.

Local governments often try to lure data centers with tax incentives, betting they will create high-tech jobs. But the study suggests other factors matter more to cloud providers, including construction costs, network connectivity and access to reliable, affordable electricity.

When cloud centers need a local presence, distance can sometimes become a constraint. Providers often address this by working alongside third-party operators. “Third-party centers can complement cloud firms when they need a foothold closer to customers,” Pan Fang says.

That hybrid pattern — massive regional hubs complementing strategic colocation — may define the next phase of data center growth.

Looking ahead, shifts in remote work, climate resilience, energy prices and AI-driven computing may reshape where new facilities go. Some workloads may move closer to users, while others may consolidate into large rural hubs. Emerging data-sovereignty rules could also redirect investment beyond the United States.

“The cloud feels weightless,” Pan Fang says, “but it rests on real choices about land, power and proximity.”

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This article originally appeared on Rice Business Wisdom. Written by Scott Pett. Pan Fang and Greenstein (2025). “Where the Cloud Rests: The Economic Geography of Data Centers,” Strategy Science.

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