Using APIs, organizations can more easily combine their own internal data. Getty Images

Houston, home to one of Cognite's U.S. headquarters, is the energy capital of the world. But while many oil and gas industry players and partners come together here, much of the data they use — or want to employ — remains siloed.

There's no lack of data. Connected devices are a wellspring of enterprise resource planning data, depth-based trajectories, piping and instrumentation diagrams, and sensor values. But incompatible operational data systems, poor data infrastructure, and restricted data access prevent organizations from easily combining data to solve problems and create solutions.

We understand these challenges because we work alongside some of the biggest operators, OEMs and engineering companies in the oil and gas business. Lundin Petroleum, Aker Energy OMV, and Aker BP are among our customers, for example.

Flexible, open application programming interfaces can address the challenges noted above. APIs enable users to search, filter and do computations on data without downloading full data sets. And they abstract the complexity of underlying storage formats.

As a result, data scientists and process engineers can access data in an efficient manner, spending more time on their use cases and less effort contending with technical details. Using APIs, organizations can more easily combine their own internal data. APIs also simplify the process of using data from industry partners and other sources.

Most companies have slightly different work processes. But common API standards can help a company combine software services and platforms from others in a way that matches its own business logic and internal processes. That can allow the company to differentiate itself from competitors by employing services from the best suppliers to create innovative solutions.

Standardizing APIs across the oil and gas industry would open the door to a community of developers, which could create custom applications and connect existing market solutions. Then more new and exciting applications and services would reach the market faster.

To ensure adoption and success of such a standardization effort, the APIs would need to be well crafted and intuitive to use. These APIs would have to include the business logic required to perform the operations to empower users. In addition, APIs would need to define and allow for the sharing of desired information objects in a consistent way.

Best practices in defining common APIs for sharing data within the industry include:

  • Introducing APIs iteratively, driven by concrete use cases with business value
  • Ensuring all services using the API provide relevant output and insights in a structured machine-readable format, enabling ingestion into the API to ensure continuous enrichment of the data set
  • Making all data searchable
  • Preventing underlying technology from being exposed through the APIs to ensure continuous optimization and allow companies to implement their technology of choice
  • Supporting all external data sharing through an open, well-documented and well-versioned API, using the OpenAPI standard

If oil and gas industry operators define APIs, suppliers will embrace them. That will "grease" the value chain, allowing it to move with less friction and waste.

Operations and maintenance are a natural place for API harmonization to start. Standardized APIs also can enable operators to aggregate and use environmental, equipment and systems, health and safety, and other data. That will accelerate digital transformation in oil and gas and enable companies to leverage innovative solutions coming from the ecosystem, reduce waste, and improve operations, making production more sustainable.

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Francois Laborie is the general manager of Cognite North Americas.

Luther Birdzell, founder and CEO of Houston-based OAG Analytics is on a mission to democratize data for his upstream oil and gas clients. Courtesy of OAG Analytics

Houston entrepreneur is using his analytics company to change the oil and gas industry

Featured Innovator

Luther Birdzell has been on a mission to democratize data for the upstream oil and gas industry since he started his company, OAG Analytics, in 2013.

For him, there's just not enough data scientists for hire to do the same thing internally for different companies. He thought of a way where he can give clients an easy-to-use platform to have access to data that could save oil and gas companies millions of dollars. So, that's exactly what he did.

"Over the past five and a half years, we've built that platform," Birdzell says. "We are currently helping to optimize over $1 billion in capital deployment around drilling and completions."

The company has grown to 25 employees and tripled its revenue last year. The team is forecasting another year of high grow for 2019.

Birdzell spoke with InnovationMap to talk about his start in software, the company's growth, and why nonprofit work has been important to him as a business leader.

InnovationMap: Did you always know you wanted to be an entrepreneur?

Luther Birdzell: When I was about two years old, my grandfather ran a meat business in New York City — in the meatpacking district, back when that area actually had meat packers. It just was in my bones from a really young age that I wanted to start a business.

IM: How did you get into software development?

LB: I studied electrical engineering in college. For my first seven years, I worked within consulting, implementing systems that made data more valuable to subject matter experts. I was primarily supporting management teams and mostly tech teams.

Then, I met the founders of iTKO, who were doing software testing for clients, and I helped them figure out a way that was complementary to what they were doing. We took a capability that can enable software developers that can help companies reduce their data center costs by a lot. It was a capability that was really restricted to specialized programing. Together we figured out how to make that a capability that anyone in an IT company used. That resulted in companies being able to higher fewer people to maintain servers, as well as reduce other costs. Companies were saving of millions of dollars per year per project.

IM: When did the idea for OAG come to you?

LB: Computer Associates bought iTKO from us in 2011. When I resigned from CA in 2013, it was very clear to me that artificial intelligence, big data, machine learning, and the cloud, were all tech ingredients for adding more value to data. Then the oil and gas business came into focus.

When I founded OAG Analytics, our mission then — and still is today — was to build a platform for the upstream oil and gas industry that enables them to manage their data, introduces world-class machine learning in minutes without having to write a single line of code, and allow them to run simulations on the resulting analysis.

IM: What makes OAG successful?

LB: My vision was to create a platform that could be trusted to support billions of dollars of capital optimization through transparency and control. A black box doesn't work for the kind of problems we're helping our customers optimize. They need something that's easy to use, simple, powerful, and also gives them complete control.

IM: What's the barrier of success for your clients?

LB: We have customers who have increased their capital efficiency on drilling programs that are about $500 million by over 25 percent, while still getting the same amount of oil out of the ground.

IM: What was the early reception like?

LB: We found a lot of interest in talking about how it works. In 2013, 2014, 2015, well over half the industry knew enough about this technology from other industries to have high confidence that it would affect the oil and gas industry one day. They were willing to spend an hour or two on what it is and how it works. But the number of companies who were really willing to invest in a meaningful way was really small.

There were companies, like EOG Resources, for example started spending millions of dollars developing this technology in house. Other companies seeing EOG and Anadarko success, raised the bar on the level of proof.

There's an increasing number of companies in the industry who realize that AI isn't a futuristic thing anymore. There are companies using it today, and the companies using it right are making more money. But, they're learning it's hard to do right. It could take years and millions of dollars to develop this yourself, but we're helping companies get up to speed in a matter of months, and our total cost for the first year is well under a million bucks to do this. They want us to train them how to use it, then act as support, rather than run it all for them.

IM: Do you plan to stay in just upstream oil and gas?

LB: We're 100 percent focused on upstream oil and gas, and always have been, but as we continue to grow, we're going to follow the market and what customers want. Repurposing our platform for other applications in oil and gas, energy, and even beyond that. We're evaluating. The vision has always been to democratize AI, and oil and gas is where we started.

IM: Do you have an exit strategy?

LB: As far as exits, I get asked this a lot. I don't believe in exit strategies. I believe in building a great company. I've seen a lot of founders make a lot of mistakes trying to cut corners to get to early exits. Our goal is to be a great company, and that starts with the right vision and then getting the right people and hires.

IM: How has Houston been as a place to have a startup in energy?

LB: Houston is unparalleled in the oil patch or the ability to support day trips. There's two airports and tons of direct flights to other cities in the oil patch. It's the only city you can cover all the other cities from with day trips. The efficiency of being able to be on site with customers is such an advantage.

There are a lot of industry experts in and around Houston, but a startup software company works very differently from an oil company. I think we have a long road ahead of us before we have an ecosystem in place to support startups and give them the best chance of success. Some of that comes from advisers, some from the ecosystem, and some part of it just takes time. But once those pieces come into play, talent follows. I think Houston is a very natural hub for energy tech.

IM: Volunteering is an important part of your business. Why is that something you've focused on?

LB: Something in the DNA of our business is giving back. We do that through direct community action. We've volunteered as a company, and we're always on the lookout for ways we can engage with and make the most contribution to the community. We do this primarily for personal reasons, but the universe has been very generous over my career with reciprocating a professional upside.

You volunteer in high school to get into college, then maybe some in college. And you might think, "oh that's for philanthropists or retired people and I'll get back to that later." But the reality of that is it feels better doing some of that now, so we do.

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Portions of this interview have been edited.

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Rice student startup lands $1.85M to launch medical drone network

critical cargo

Students at Rice University have developed a medical cargo drone transport system to help deliver sensitive medical supplies and improve mobile healthcare efforts.

Haast Autonomous is the brainchild of graduating seniors Ege Halac, Jason Chen and Santiago Brent, who got their venture idea off the ground with help from the Liu Idea Lab for Innovation and Entrepreneurship (Lilie) Summer Venture Studio. The founders have developed the prototype at Rice’s Oshman Engineering Design Kitchen (OEDK) with fellow Rice researchers Felix Hasson, Ethan Javedan, Kenna Sanders and Caden Schmidt.

The startup has raised $1.85 million in pre-seed funding, according to Rice. The founders plan to focus on Haast full-time following graduation. They said they aim to launch pilot trials in 2027 and head to market later that year.

“We need better alternatives for a fast, safe and on-demand system of transport for life-critical cargo,” Halac said in a news release from Rice.

The Haast team has developed a custom aircraft with software that manages dispatch, routes, and chain of custody to assist in how materials move between sites in centralized medical systems. Generally, the transportation of medical supplies and materials between facilities and points of care relies on ground shipping or expensive air transport.

Haast Autonomous’ aircraft can take off and land vertically, and is designed around a mission profile of 50 to 62 miles. It can carry a payload of at least 5 pounds, with future versions intended to scale up in size. It also includes a built-in payload bay that regulates temperature, pressure, vibration and tilt to protect sensitive contents such as patient samples, antivenom or poisoning kits and radioligands or other therapies, according to Rice.

At first, the company envisioned the mission to be centered around transplants, but saw the product being best suited for a variety of operations.

“What we realized is that the platform we are building is suited for medicine, but it really underlies a much larger problem of mission-critical transport across industries,” Brent added in the news release. “We are building the fastest, most secure logistics chain for the world’s most sensitive cargo.”

Haast Autonomous was recognized at the 2026 Oshman Engineering Design Showcase and Competition, where it won Best Aerospace or Transportation Technology. It also performed well in the 2026 Napier Rice Launch Challenge.

In the future, Haast Autonomous plans to deploy a fleet of aircraft. The software will be designed to assist hospitals in requesting flights and tracking deliveries in real time.

“The drone is only part of the solution,” Chen also added in the release. “What matters is moving something from point A to point B in a way that fits into how hospitals already operate.”

Houston scientist wins prestigious Pew Scholar award for brain cancer research

standout scholar

Christina Tringides, an assistant professor of materials science and nanoengineering at Rice University, is one of 21 scientists to win a prestigious Pew Biomedical Scholar award.

She is the first faculty member from Rice to win the distinction, which provides $300,000 over four years for advances in biomedicine, according to the university. The awards are granted to researchers who are in the first few years at the assistant professor level.

In Tringides’ case, the funding will support her innovative new method of modeling glioblastoma, a common and extremely aggressive form of brain cancer. Thanks to producing its own blood supply, glioblastoma spreads quickly, weaving tendrils of blighted tissue throughout the brain. Because of this, surgery is difficult and conventional therapies ineffective.

Understanding the way glioblastoma spreads is crucial to the search for a cure. Tringides is using hydrogels that mimic the brain’s extracellular matrix. Using cultures and a microscopic labyrinth, her team can see how the cancer spreads, bonds with neurons and changes cell wall activity. Essentially, Tringides has devised an intelligence test for tumors in hopes of learning how to outsmart them.

“As cancer crawls through the maze, we can look at how it is interacting with the neurons more and more, and measure how electrical activity is changing as a result,” she said in a news release from Rice.

Examining how cancer cells grow can reveal which conditional changes slow them down. Finding ways to alter the structure of brain matter in a way that makes it inhospitable to the cancer could lead to therapies that would impede growth or even reverse it. Using her custom-made ersatz brain maze makes it easier to observe changes than it would be in a patient’s brain.

“Imaging synapses is time-intensive ⎯ it can involve large data files that are hard to visualize, but if we know that the only place where we might have a synapse is this tiny 1-by-4-by-10 micron channel, it makes it much faster and reliable to image them,” Tringides said.

Born in Ames, Iowa, Tringides received her doctorate in biophysics from Harvard before joining Rice in 2024 through a Cancer Prevention and Research Institute of Texas (CPRIT) recruitment award.

Her research was also one of the first four projects to receive research awards through the Rice Brain Institute and TMC Neuro Collaboration Seed Grant Program.

Texas residents earn 11th highest income in U.S., says 2026 study

Money Matters

A new WalletHub study comparing income disparities across America has ranked Texas residents No. 11 on the list of states with the highest earning residents in the nation.

The report, "States Where People Have the Highest Income (2026)," analyzed U.S. Census Bureau income data in all 50 states and the District of Columbia. The report evaluated the average annual income of the top five percent, the median annual household income, and the average annual income of the bottom 20 percent of residents in every state, all adjusted for the cost of living.

The report's data revealed the top five percent of Texans, the highest earners, make $520,378 on average yearly after adjusting for the cost of living. That's the seventh-highest income among the top five percent of earners nationwide.

Meanwhile, the median annual income of a Texas household is just under $76,000. The bottom 20 percent of Texas residents make $17,651 a year, the report found.

For additional context, the latest data from the Federal Reserve shows an American household's median yearly income is about $83,700. WalletHub analyst Chip Lupo also found that the highest earning 10 percent of individuals in the U.S. earn over 12 times more than those in the lowest-earning 10 percent, based on the latest Census data.

"By measuring the income of various percentiles against a state's median income, we can better identify where income disparities are more prevalent, which could help us better understand why residents of certain states struggle more to make ends meet," said Lupo.

Virginia is the state where residents earn the highest income in the U.S., WalletHub said. Based on the report's findings, the top five percent of Virginians make $545,097 on average per year after adjusting for the cost of living. The median annual income of a Virginia household comes out to $95,339, and the bottom 20 percent of residents make $19,671 annually on average.

Conversely, West Virginia is the state where people have the lowest income in the U.S. A West Virginia household makes a median annual income of $56,610, the third-lowest nationally, and the bottom 20 percent of residents make $13,260 on average per year, which is the fifth-lowest in the nation. The top five percent of West Virginians make $372,218 on average per year.

The top 10 states where residents have the highest income are:

  • No. 1 – Virginia
  • No. 2 – New York
  • No. 3 – New Jersey
  • No. 4 – Washington
  • No. 5 – Connecticut
  • No. 6 – Utah
  • No. 7 – Colorado
  • No. 8 – Minnesota
  • No. 9 – Illinois
  • No. 10 – Massachusetts

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This article originally appeared on CultureMap.com.