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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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

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 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.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”