Camilo Mejia, CEO and founder of Houston-based Enovate Upstream, has big plans for increasing efficiency across the oil and gas sector. Photo courtesy of Enovate

A Houston energy tech company announced a new artificial intelligence platform that aims to digitize the oil and gas sector to provide the best efficiency and return on investment at every stage of the supply chain cycle — from drilling and production to completion.

Enovate Upstream's exponential growth, says Camilo Mejia, CEO and founder of the company, has already led to two new strategic partnerships in the works with European and Latin American companies.

"We see a better future in the oil and gas industry," Mejia shares in an interview with InnovationMap. "Our team worked in various roles in O&G, and we don't think the industry will end up as some people may think. The future will be different and digitized, we are just here to facilitate that transition to give back to the industry that gave us a lot."

The company's proprietary cloud-based ADA AI digital ecosystem is challenging the assumptions of the industry by using new technology powered artificial intelligence to provide historical data with AI to give real-time production forecasting. Thanks to the cloud, users can access the information anywhere in the world.

The new platform combines three models — digital drilling, digital completions, and digital production — that provide precise data that can be customized to the client's needs, integrating into an existing platform easily for a real-time view of their return on investment and carbon emission output.

Mejia shares more about his company's growth and what goals Enovate Upstream is setting to continue the course of digitization in the oil and gas industry in the Q&A with InnovationMap.

InnovationMap: What inspired Enovate Upstream’s focus on artificial intelligence technology for the upstream value chain?

Camilo Mejia: For the past five or six years, there's been talk of digitalization, and the value of data. The next level is not the value of the data, it's about the automation, how you can improve operations, and how you can help customers to make better decisions. Every single technology that we are developing here is about the return of investment.

Our AI concept is about the physics behind the data. We are accelerating digital adoption by properly showing the tangible value of the technology by speaking the same language and showing the value from the oil and gas perspective, which was one of the challenges other AI technology faced to break into the industry before. Our artificial intelligence component upgrades this technology to optimize the industry while integrating it with this digital ecosystem all in one place. The digital ecosystem we're building covers the entire value chain.

One of the challenges the industry faces is around capital allocation — how we can help customers to properly allocate capital into projects, which is a fundamental way we forecast new projects. Another challenge is the size of the organization that ranges from corporations to small businesses. They have many opportunities to improve cost but that varies across companies.

We are overcoming that challenge in order to develop a technology that can show the inefficiencies between the sizes. The third challenge is the adoption of digital technology. There are two different ways of deploying artificial intelligence. One is data-driven analysis, data-driven models, or data trading — this is the foundation.

IM: What fundamental changes do you think your cloud-based ADA technology can provide across every stage of the value chain?

CM: The biggest change we have in the platform is revising the workflow based on the production size. We use the data the customers already have, to develop a model that changes the way we forecast production in the industry. Before you deploy the capital and execute the project, you are going to have a better idea of the maximum potential profitability, so you can make better decisions at any stage from that point.

One of the inspirations for this was Tesla. The automotive industry was failing to provide a self-driving vehicle because it was using mathematical approaches, but Tesla overcame that challenge using data of millions of drivers to drive and park the cars efficiently, optimizing the process.

We are doing exactly the same, which is applying mathematical equations only for drilling forecasts, production forecasts, and using the data from the wells to see how the projects are behaving. We also integrate the modules so every single module is communicating with each other at every stage to correlate back to a production forecast to set your targets or operation based on that expected return of investment.

Our concept is about the return of investment, in order to develop the ROI concept, you got to plan the events right and the varying size production, that becomes the second component. The third component is about optimization of operations, which is about automation to improve operations and therefore decision-making. We are developing technology that has a very modern interface to automate operations in a more intuitive way so customers can be independent in the process and make the best decisions.

IM: At the moment, there is a need for virtual connections. How does your technology allow certain hands-on tasks to be handled remotely?

CM: In many ways, we have a big project in the Gulf of Mexico. We place technologies that we are using in today's market and deploy a platform that customers can use independently. We can also automate operations to the cloud by just deploying, trimming the data out of the field straight to the cloud so that people in the field can actually use the AI component to optimize operations. We don't require face to face interaction using the cloud environment.

Since the coronavirus these digital components have been on demand, we have grown about 500 percent from the end of Q1 and into the middle of Q2. We are experiencing an acceleration in the adoption of digital technology, but the ability to deploy the technology through the cloud has been instrumental in gaining more traction in the market. As a matter of fact, just as an indicator, we have been hiring people since the start of the coronavirus.

IM: Enovate Upstream started a year ago since then you’ve experienced exponential growth. What are a couple of goals that the company will achieve by the end of the year?

CM: Our strategy is focused on the next level for the company, which is securing funding round with investors in London. We are also aiming to facilitate the deployment of our technology globally. We are focusing on the United States and Latin America, but we hope to expand our funding round to Europe and the Middle East.

Our other goal lies with our partnerships, we are working through a distribution channel, through larger service companies that are facilitating the commercialization of the technology. The focus is on enabling these companies to properly support the customers by doing more technology integration and increasing the value creation.

The next goal is obviously to sustain the company, even though we have been growing, there is a lot of uncertainty in the market, and we are focusing on building the culture of the company, which is challenging in a virtual space.

IM: How has Enovate Upstream navigated an unstable market amid your rapid growth?

CM: That's a good question. I think the lesson is that you can always end up in a different direction. Coronavirus is having a big impact on many businesses, often negatively, but for us, it was instrumental to realize the full potential of the technology we were developing.

We saw that the activity was going from operations to the financial sector with companies selling assets to sustain their business. There were a lot of customers trying to decide what kind of wells they need to continue producing, so that was a market that we didn't capture before.

We grew the technology in that direction by starting a second company called Energy Partners. We created a joint venture with some producers in South Texas to make better decisions in asset acquisition. It was instrumental for us to realize the full potential on the finance side, as opposed to operations where the initial focus was.

We have assets in South Texas now and from a technology standpoint, it's the ideal way to test our analytic technology. We use our technology to properly evaluate the return of investment to make decisions about acquiring assets to optimize the operations and increase production. We have the opportunity to prove the technology with our investments, so we can actually build trust with customers. We are 100 percent sure that the technology works the way we say it works.

IM: There’s a huge emphasis on sustainability in the energy industry. How does your technology reduce carbon emissions?

CM: There are two kinds of components here. The first one is about optimizing operations — personnel transportation at the field level. We have studied calculations of what carbon dioxide output looks like to reduce it in terms of optimizing transportation, technology, and contributing to innovative ideas. We are currently initiating a feasibility study on a carbon capture technology, and working with customers to provide value in the technology in various aspects.

IM: I see several partnerships have already begun. Are you looking for more and what role do these partnerships play for your business?

CM: We have two partnerships about to close. One is with Telefonica, a Spanish telecommunications company, and another with Pluspetrol, an Argentinian production company. Telefonica provides cybersecurity services to oil and gas companies, we actually work with them to deploy our technology in Latin America and Europe. They provide the cloud and cybersecurity component while we provide the AI component.

In terms of our technology development, Pluspetrol has been one of our partners from the very beginning and we continue developing more technologies with this particular customer. They provide us with access to real data and real operational conditions that facilitate technological innovation.

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This conversation has been edited for brevity and clarity.

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3 Houston innovators who made headlines in May 2025

Innovators to Know

Editor's note: Houston innovators are making waves this month with revolutionary VC funding, big steps towards humanoid robotics, and software that is impacting the agriculture sector. Here are three Houston innovators to know right now.

Zach Ellis, founder and partner of South Loop Ventures

Zach Ellis. Photo via LinkedIn

Zach Ellis Jr., founder and general partner of South Loop Ventures, says the firm wants to address the "billion-dollar blind spot" of inequitable distribution of venture capital to underrepresented founders of color. The Houston-based firm recently closed its debut fund for more than $21 million. Learn more.

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, CEO and founder of Tempest Droneworx

Ty Audronis, center. Photo via LinkedIn.

Ty Audronis and his company, Tempest Droneworx, made a splash at SXSW Interactive 2025, winning the Best Speed Pitch award at the annual festival. The company is known for it flagship product, Harbinger, a software solution that agnostically gathers data at virtually any scale and presents that data in easy-to-understand visualizations using a video game engine. Audronis says his company won based on its merits and the impact it’s making and will make on the world, beginning with agriculture. Learn more.

Nicolaus Radford, CEO of Persona AI

Nicolaus Radford, founder and CEO of Nauticus RoboticsNicolaus Radford. Image via LinkedIn

Houston-based Persona AI and CEO Nicolaus Radford continue to make steps toward deploying a rugged humanoid robot, and with that comes the expansion of its operations at Houston's Ion. Radford and company will establish a state-of-the-art development center in the prominent corner suite on the first floor of the building, with the expansion slated to begin in June. “We chose the Ion because it’s more than just a building — it’s a thriving innovation ecosystem,” Radford says. Learn more.

Houston university to launch artificial intelligence major, one of first in nation

BS in AI

Rice University announced this month that it plans to introduce a Bachelor of Science in AI in the fall 2025 semester.

The new degree program will be part of the university's department of computer science in the George R. Brown School of Engineering and Computing and is one of only a few like it in the country. It aims to focus on "responsible and interdisciplinary approaches to AI," according to a news release from the university.

“We are in a moment of rapid transformation driven by AI, and Rice is committed to preparing students not just to participate in that future but to shape it responsibly,” Amy Dittmar, the Howard R. Hughes Provost and executive vice president for academic affairs, said in the release. “This new major builds on our strengths in computing and education and is a vital part of our broader vision to lead in ethical AI and deliver real-world solutions across health, sustainability and resilient communities.”

John Greiner, an assistant teaching professor of computer science in Rice's online Master of Computer Science program, will serve as the new program's director. Vicente Ordóñez-Román, an associate professor of computer science, was also instrumental in developing and approving the new major.

Until now, Rice students could study AI through elective courses and an advanced degree. The new bachelor's degree program opens up deeper learning opportunities to undergrads by blending traditional engineering and math requirements with other courses on ethics and philosophy as they relate to AI.

“With the major, we’re really setting out a curriculum that makes sense as a whole,” Greiner said in the release. “We are not simply taking a collection of courses that have been created already and putting a new wrapper around them. We’re actually creating a brand new curriculum. Most of the required courses are brand new courses designed for this major.”

Students in the program will also benefit from resources through Rice’s growing AI ecosystem, like the Ken Kennedy Institute, which focuses on AI solutions and ethical AI. The university also opened its new AI-focused "innovation factory," Rice Nexus, earlier this year.

“We have been building expertise in artificial intelligence,” Ordóñez-Román added in the release. “There are people working here on natural language processing, information retrieval systems for machine learning, more theoretical machine learning, quantum machine learning. We have a lot of expertise in these areas, and I think we’re trying to leverage that strength we’re building.”