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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Tesla recalling more than 375,000 vehicles due to power steering issue

Tesla Talk

Tesla is recalling more than 375,000 vehicles due to a power steering issue.

The recall is for certain 2023 Model 3 and Model Y vehicles operating software prior to 2023.38.4, according to the National Highway Traffic Safety Administration.

The printed circuit board for the electronic power steering assist may become overstressed, causing a loss of power steering assist when the vehicle reaches a stop and then accelerates again, the agency said.

The loss of power could required more effort to control the car by drivers, particularly at low speeds, increasing the risk of a crash.

Tesla isn't aware of any crashes, injuries, or deaths related to the condition.

The electric vehicle maker headed by Elon Musk has released a free software update to address the issue.

Letters are expected to be sent to vehicle owners on March 25. Owners may contact Tesla customer service at 1-877-798-3752 or the NHTSA at 1-888-327-4236.

Houston space tech companies land $25 million from Texas commission

Out Of This World

Two Houston aerospace companies have collectively received $25 million in grants from the Texas Space Commission.

Starlab Space picked up a $15 million grant, and Intuitive Machines gained a $10 million grant, according to a Space Commission news release.

Starlab Space says the money will help it develop the Systems Integration Lab in Webster, which will feature two components — the main lab and a software verification facility. The integration lab will aid creation of Starlab’s commercial space station.

“To ensure the success of our future space missions, we are starting with state-of-the-art testing facilities that will include the closest approximation to the flight environment as possible and allow us to verify requirements and validate the design of the Starlab space station,” Starlab CEO Tim Kopra said in a news release.

Starlab’s grant comes on top of a $217.5 million award from NASA to help eventually transition activity from the soon-to-be-retired International Space Station to new commercial destinations.

Intuitive Machines is a space exploration, infrastructure and services company. Among its projects are a lunar lander designed to land on the moon and a lunar rover designed for astronauts to travel on the moon’s surface.

The grants come from the Space Commission’s Space Exploration and Aeronautics Research Fund, which recently awarded $47.7 million to Texas companies.

Other recipients were:

  • Cedar Park-based Firefly Aerospace, which received $8.2 million
  • Brownsville-based Space Exploration Technologies (SpaceX), which received $7.5 million
  • Van Horn-based Blue Origin, which received $7 million

Gwen Griffin, chair of the commission, says the grants “will support Texas companies as we grow commercial, military, and civil aerospace activity across the state.”

State lawmakers established the commission in 2023, along with the Texas Aerospace Research & Space Economy Consortium, to bolster the state’s space industry.

Houston experts: Can AI bridge the gap between tech ambitions and market realities?

guest column

Despite successful IPOs from the likes of Ibotta, Reddit and OneStream, 2024 hasn’t provided the influx of capital-raising opportunities that many late-stage tech startups and venture capitalists (VCs) have been waiting for. Since highs last seen in 2021—when 90 tech companies went public—the IPO market has been effectively frozen, with just five tech IPOs between January and September 2024.

As a result, limited partners have not been able to replenish investments and redeploy capital. This shifting investment landscape has VCs and tech leaders feeling stuck in a holding pattern. Tech leaders are hesitant to enter the public markets because valuations are down 30 percent to 40 percent from 2021, which is also making late-stage fundraising more challenging. After all, longer IPO timelines mean fewer exit opportunities for VCs and reduced capital from institutional investors who are turning toward shorter-term investments with more liquid exit options.

Of course, there’s always an exception. And in the case of a slowed IPO market, a select slice of tech companies—AI-related companies—are far outperforming others. While not every tech startup has AI software or infrastructure as their core offering, most can benefit from using AI to revise their playbook and become more attractive to investors.

Unlocking Growth Potential with AI

While overall tech startup investment has slowed, the AI sector burns bright. This presents an opportunity for companies that strategically leverage AI, not just as a buzzword but as a tool for genuine growth and differentiation. Imagine a future where AI-powered insights unlock unprecedented efficiency, customer engagement and a paradigm shift in value creation. This isn’t just about weathering the current storm of reduced access to capital; it’s about emerging stronger, ready to lead the next wave of tech innovation.

Here's how to navigate the AI frontier and unlock its potential:

  1. Understand that data is the foundation of AI success. AI is powerful, but it’s not magic. It thrives on high-quality, interconnected data. Before diving into AI initiatives, companies must assess their data health. Is it structured in a way that AI can understand? Does it go beyond raw numbers to capture context and meaning—like customer sentiment alongside sales figures? Rethinking data infrastructure is often the crucial first step.
  1. Focus on amplifying strengths, not reinventing the wheel. The allure of AI can tempt companies into pursuing radical reinvention. However, a more effective strategy is to leverage AI to enhance existing strengths and address core customer needs. Why do customers choose your company? How can AI supercharge your value proposition? Consider Reddit’s strategic approach: They didn’t overhaul their platform before their 2024 IPO. Instead, they showcased the value of their vast online communities as fertile ground for AI development, leading to a remarkable first-day stock surge of 48 percent.

  2. Use AI as a customer-centric force multiplier. Companies with a deep understanding of their customer base are primed for AI success. By integrating AI into the very core of their product or service—the reason customers choose them—they can create a decisive competitive advantage based on delivering tangible customer value.

From Incremental Gains to Transformative Growth

This practical, customer-centric approach has the potential to help companies generate immediate growth while laying the foundation for future reinvention. By leveraging AI to optimize operations, deepen customer relationships, and redefine industry paradigms, late-state tech startups can not only survive but thrive in a dynamic market. The future belongs to those who embrace AI not as a destination but as a continuous journey of innovation and growth.

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Hong Ogle is the president of Bank of America Houston. Rodrigo Ortiz Gomez is a market executive in Bank of America’s Transformative Technology Banking Group as well as the national software banking lead for the Global Commercial Bank.