Halliburton Labs has announced its next set of clean energy tech companies. Photo courtesy of Halliburton

Three climatetech companies will be joining Halliburton Labs, a Houston-based energy transition incubator.

Chemergy, EVA, and Novamera will be joining Halliburton Labs, the company announced last week. The three startups will receive technical support, access to Halliburton's global connections, and more from the program.

“We are excited to help accelerate three innovative companies that emerged from our recent Finalists Pitch Day,” says Dale Winger, managing director of Halliburton Labs, in a news release. “We will work closely with these founders and their teams to achieve strategic, operational, and financial milestones with the most efficient use of their time and capital."

Halliburton Labs launched in the summer of 2020, and now has over a dozen companies working on climatetech solutions in its portfolio. Applications are now open for the next cohort on the Halliburton Labs website and are due by April 22, for the May 20 Finalists Pitch Day.

"In less than two years, we've established productive new relationships with fifteen companies scaling solutions across a breadth of markets to expand our understanding of new value chains,” Winger continues.

Here's a little more about the three new additions to the program.

Chemergy 

Miami-based Chemergy has created a patented HyBrTec process is designed to convert wet organic and plastic wastes into green hydrogen, thereby eliminating the liability and consequences of the wastes by converting them into fuel.

“We see a great opportunity to collaborate with Halliburton Labs' industrial experience to ensure our systems can be installed and operated safely in communities to solve waste disposal issues, improve resiliency and sustainability, and produce cleaner fuel locally,” says Melahn Parker, president of Chemergy.

EVA 

EVA, a New York headquartered company with a presence on four continents, is increasing scalability for the drone industry with its ground infrastructure and operating system solutions that help customers perform inspections, make deliveries, recharge, and monitor remote operations without local manpower.

“The Halliburton Labs ‘scalerator' model comes at the right time for EVA as we accelerate commercialization," says Olivier Le Lann, founder and CEO. "We're excited about the ways Halliburton's global market and industrial expertise will accelerate our trajectory."

Novamera 

Canadian company Novamera has developed proprietary navigation tools and software that enables climate smart, surgical mining and unlocks value in certain mineral deposits found worldwide that are otherwise uneconomic due to their small scale and geometry.

“We are pleased to join Halliburton Labs' accelerator program," says Novamera Co-founder and CEO Dustin Angelo in a news release. "Their engineering expertise and business experience will help us accelerate the development of our technology and scale our business to bring a more sustainable method of mining to the world.”

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Houston researchers create AI model to tap into how brain activity relates to illness

brainiac

Houston researchers are part of a team that has created an AI model intended to understand how brain activity relates to behavior and illness.

Scientists from Baylor College of Medicine worked with peers from Yale University, University of Southern California and Idaho State University to make Brain Language Model, or BrainLM. Their research was published as a conference paper at ICLR 2024, a meeting of some of deep learning’s greatest minds.

“For a long time we’ve known that brain activity is related to a person’s behavior and to a lot of illnesses like seizures or Parkinson’s,” Dr. Chadi Abdallah, associate professor in the Menninger Department of Psychiatry and Behavioral Sciences at Baylor and co-corresponding author of the paper, says in a press release. “Functional brain imaging or functional MRIs allow us to look at brain activity throughout the brain, but we previously couldn’t fully capture the dynamic of these activities in time and space using traditional data analytical tools.

"More recently, people started using machine learning to capture the brain complexity and how it relates it to specific illnesses, but that turned out to require enrolling and fully examining thousands of patients with a particular behavior or illness, a very expensive process,” Abdallah continues.

Using 80,000 brain scans, the team was able to train their model to figure out how brain activities related to one another. Over time, this created the BrainLM brain activity foundational model. BrainLM is now well-trained enough to use to fine-tune a specific task and to ask questions in other studies.

Abdallah said that using BrainLM will cut costs significantly for scientists developing treatments for brain disorders. In clinical trials, it can cost “hundreds of millions of dollars,” he said, to enroll numerous patients and treat them over a significant time period. By using BrainLM, researchers can enroll half the subjects because the AI can select the individuals most likely to benefit.

The team found that BrainLM performed successfully in many different samples. That included predicting depression, anxiety and PTSD severity better than other machine learning tools that do not use generative AI.

“We found that BrainLM is performing very well. It is predicting brain activity in a new sample that was hidden from it during the training as well as doing well with data from new scanners and new population,” Abdallah says. “These impressive results were achieved with scans from 40,000 subjects. We are now working on considerably increasing the training dataset. The stronger the model we can build, the more we can do to assist with patient care, such as developing new treatment for mental illnesses or guiding neurosurgery for seizures or DBS.”

For those suffering from neurological and mental health disorders, BrainLM could be a key to unlocking treatments that will make a life-changing difference.

Houston-based cleantech unicorn named among annual top disruptors

on the rise

Houston-based biotech startup Solugen is making waves among innovative companies.

Solugen appears at No. 36 on CNBC’s annual Disruptor 50 list, which highlights private companies that are “upending the classic definition of disruption.” Privately owned startups founded after January 1, 2009, were eligible for the Disruptor 50 list.

Founded in 2016, Solugen replaces petroleum-based products with plant-derived substitutes through its Bioforge manufacturing platform. For example, it uses engineered enzymes and metal catalysts to convert feedstocks like sugar into chemicals that have traditionally been made from fossil fuels, such as petroleum and natural gas.

Solugen has raised $643 million in funding and now boasts a valuation of $2.2 billion.

“Sparked by a chance medical school poker game conversation in 2016, Solugen evolved from prototype to physical asset in five years, and production hit commercial scale shortly thereafter,” says CNBC.

Solugen co-founders Gaurab Chakrabarti and Sean Hunt received the Entrepreneur of The Year 2023 National Award, presented by professional services giant EY.

“Solugen is a textbook startup launched by two partners with $10,000 in seed money that is revolutionizing the chemical refining industry. The innovation-driven company is tackling impactful, life-changing issues important to the planet,” Entrepreneur of The Year judges wrote.

In April 2024, Solugen broke ground on a Bioforge biomanufacturing plant in Marshall, Minnesota. The 500,000-square-foot, 34-acre facility arose through a Solugen partnership with ADM. Chicago-based ADM produces agricultural products, commodities, and ingredients. The plant is expected to open in the fall of 2025.

“Solugen’s … technology is a transformative force in sustainable chemical manufacturing,” says Hunt. “The new facility will significantly increase our existing capabilities, enabling us to expand the market share of low-carbon chemistries.”

Houston cleantech company tests ​all-electric CO2-to-fuel production technology

RESULTS ARE IN

Houston-based clean energy company Syzygy Plasmonics has successfully tested all-electric CO2-to-fuel production technology at RTI International’s facility at North Carolina’s Research Triangle Park.

Syzygy says the technology can significantly decarbonize transportation by converting two potent greenhouse gases, carbon dioxide and methane, into low-carbon jet fuel, diesel, and gasoline.

Equinor Ventures and Sumitomo Corp. of Americas sponsored the pilot project.

“This project showcases our ability to fight climate change by converting harmful greenhouse gases into fuel,” Trevor Best, CEO of Syzygy, says in a news release.

“At scale,” he adds, “we’re talking about significantly reducing and potentially eliminating the carbon intensity of shipping, trucking, and aviation. This is a major step toward quickly and cost effectively cutting emissions from the heavy-duty transport sector.”

At commercial scale, a typical Syzygy plant will consume nearly 200,000 tons of CO2 per year, the equivalent of taking 45,000 cars off the road.

“The results of this demonstration are encouraging and represent an important milestone in our collaboration with Syzygy,” says Sameer Parvathikar, director of renewable energy and energy storage at RTI.

In addition to the CO2-to-fuel demonstration, Syzygy's Ammonia e-Cracking™ technology has completed over 2,000 hours of performance and optimization testing at its plant in Houston. Syzygy is finalizing a site and partners for a commercial CO2-to-fuel plant.

Syzygy is working to decarbonize the chemical industry, responsible for almost 20 percent of industrial CO2 emissions, by using light instead of combustion to drive chemical reactions.

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This article originally ran on EnergyCapital.