Currently, methane leak detection requires human evaluation. With this innovative new company's tech, this process can be automated. Photo via Getty Images

A Houston startup that is developing a technology to detect methane leaks has moved on to phase two in Chevron's unique business accelerator.

Aquanta Vision Technologies, a Houston-based climate-tech startup, was selected to participate in the scale-up phase of Chevron Studio, a Houston program that matches entrepreneurs with technologies to turn them into businesses. Aquanta's computer vision software completely automates the identification of methane in optical gas imaging, or OGI. The technology originated from Colorado State University and CSU STRATA Technology Transfer.

Babur Ozden, a tech startup entrepreneur, along with Marcus Martinez, the lead inventor and Dan Zimmerle, co-inventor and director of METEC at CSU Energy Institute, came up with the technology to identify the presence and motion of methane in live video streams. Currently, this process of identifying methane requires a human camera operator to interpret the images. This can often be unreliable in the collection of emissions data.

Aquanta’s technology requires no human intervention and is universally compatible with all OGI cameras. Currently, only about 10 percent of the 20.5 million surveys done worldwide use this type of technology as it is extremely expensive to produce. Ozden said he hopes Aquanta will change that model.

“What we are doing — we are democratizing this feature, this capability, independent of the camera make and model,” Ozden tells EnergyCapital.

Aquanta’s software will be downloadable from App stores to the technician’s computers or phones.

“Our goal is to eliminate the absolute reliance of human interpretation and to give operators a chance to make detections faster and more accurately,” Ozden says.

“Our ultimate ambition is to reduce our footprint.” he continues. “Companies like Chevron and other leading players in the oil and gas industry are becoming much more committed (to reducing emissions)."

Babur Ozden is the founder of Aquanta Vision. Photo via LinkedIn

Aquanta will now test its software under various scenarios and develop an early commercial version of the product. In the next and final phase of the program, the company will begin marketing the technology for commercial use.

The goal of Chevron Studio is to take innovative new technologies out of the labs at universities and to scale them up to commercial ventures. The company takes the intellectual property developed at these labs and provides a platform to match entrepreneurs with the technology. The program provides funding to take the technologies from the very beginning to pilot and field trials. The National Renewable Energy Laboratory, or NREL, manages Chevron Studio and works closely with the entrepreneurs to guide them through the program.

Gautam Phanse, the strategic relations manager for Chevron Technology Ventures says he was impressed with Ozden’s background as an entrepreneur and in the technology he brought to the table.

“We are looking at experienced entrepreneurs. People who can take an idea and stand on their own and develop it into a business,” he tells EnergyCapital.

Earlier this year, Phanse spoke to InnovationMap about Chevron Studio and its mission to match entrepreneurs with promising technologies coming out of universities and labs. He said the current focus areas for Chevron Studio are: carbon utilization, hydrogen and renewable energy, energy storage systems and solutions for circular economy.

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Houston cleantech company closes $12M seed round

fresh funding

Houston-based Helix Earth Technologies has closed a $12 million Seed 2 funding round to scale manufacturing of its energy-efficient commercial HVAC add-on technology.

Veriten, a Houston-based energy investment firm, led the round. Rua Ventures, Carnrite Ventures, Skywriter LLC and Textbook Ventures also participated.

Helix Earth—which was founded based on NASA technology, spun out of Rice University and has been incubated at Greentown Labs—is developing high-efficiency retrofit dehumidification systems that aim to reduce the energy consumption of commercial HVAC units. The company reports that its technology can lead to "healthier indoor air, lower energy bills, reduced building maintenance, and more comfortable spaces for building owners and occupants."

"Building owners are dealing with rising energy costs, uncontrolled humidity, and aging infrastructure with no viable, cost-effective path forward. We are in the field today solving these problems for commercial customers, and this capital puts us on an aggressive path to scale,” Rawand Rasheed, Helix Earth co-founder and CEO, said in a news release.

“The strength of this round reinforces our team's conviction that we can transform innovation-starved sectors with transformational solutions that deliver order-of-magnitude improvements to owners and operators, for both their bottom line and the environment,” Rasheed added.

Maynard Holt, Veriten’s founder and CEO, said that the investment firm is tripling its investment in Helix Earth.

"The team has built breakthrough technology with real applicability across multiple industries,” Holt said in the release. “Their first product will have an immediate and measurable impact on our energy system, and they are already pursuing adjacent innovations to help heavy industries operate more efficiently and with less waste. This is a well-rounded team with a proven track record of strong execution and disciplined capital management.”

Helix Earth also closed a $5.6 million seed funding round in 2024, led by Veriten.

Last year, the company secured a $1.2 million Small Business Innovation Research (SBIR) Phase II grant and won in the Smart Cities, Transportation & Sustainability contest at the 2025 SXSW Pitch Showcase. Rasheed was also named to the Forbes 30 Under 30 Energy and Green Tech list for 2025.

SLB and NVIDIA expand partnership to scale AI across energy sector

AI partnership

Houston-based energy technology company SLB has expanded its 18-year tech collaboration with chipmaker NVIDIA to include the development of an “AI factory for energy.”

Through their partnership, SLB and NVIDIA will create AI infrastructure and models built around SLB’s existing digital platforms to help energy companies scale AI for data and operations.

In addition to the development of the “AI factory,” SLB will:

  • Provide modular design services to enhance NVIDIA’s blueprint for building, launching and operating gigawatt-scale AI data centers. In this case, modular design involves manufacturing data center components off-site.
  • Use NVIDIA’s AI infrastructure to improve the processing of large datasets and AI models across SLB’s digital platforms.

Energy companies generate vast amounts of operational data, which can slow down and silo decision-making, SLB says. By combining NVIDIA’s Omniverse libraries and its Nemotron open models with SLB’s digital and AI platforms, the companies aim to more rapidly transform data into actionable insights.

Omniverse libraries are sets of prebuilt 3D elements, such as objects, surfaces and interactive features, that make it easier to construct detailed virtual spaces without having to design everything manually. They’re commonly used for building immersive environments, digital replicas of real-world systems and simulation scenarios.

Nemotron open models are AI models that are freely available to download and modify. Instead of relying on a hosted service, you can run them on your own infrastructure and tailor them to fit specific needs.

Vladimir Troy, vice president of AI infrastructure at NVIDIA, says the energy sector is at the forefront of AI driving a “new industrial revolution.”

“The winners in AI will be companies with the best data, the deepest domain expertise, and the ability to scale,” Demos Pafitis, SLB’s chief technology officer, added. “By collaborating with NVIDIA to advance modular data center construction and harness our domain expertise and digital platforms, we’re enabling the energy industry to deploy AI at scale and transform operational data into smarter decisions.”