Helix Earth is developing a retrofit technology that has the potential to cut HVAC energy use by up to 50 percent. Photo via Getty Images

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.

Houston-based Solidec has closed an oversubscribed pre-seed round led by New Climate Ventures. Photo courtesy Greentown Labs.

Houston clean-chemicals startup Solidec raises $2M to scale tech

fresh funding

Solidec, a Houston startup that specializes in manufacturing “clean” chemicals, has raised more than $2 million in pre-seed funding.

Houston-based New Climate Ventures led the oversubscribed pre-seed round, with participation from Plug and Play Ventures, Ecosphere Ventures, the Collaborative Fund, Safar Partners, Echo River Capital and Semilla Climate Capital, among other investors.

Solidec’s approach to chemical manufacturing replaces centralized infrastructure with modular on-site production using only air, water and electricity. Solidec’s platform is powered by modular reactors capable of producing widely used chemicals such as hydrogen peroxide, formic acid, acetic acid and ethylene.

“We’ve known the Solidec team for almost two years and have developed a high degree of conviction in the team, their technology, and their go-to-market strategy,” Eric Rubenstein, managing partner at New Climate Ventures, said in a news release. “We’re particularly excited about Solidec’s ability to produce many different widely used chemicals. It gives them critical flexibility to expand and serve a broad customer base.”

Solidec is initially focusing on hydrogen peroxide.

“Traditionally, hydrogen peroxide is produced in centralized, energy-intensive facilities using carbon-intensive inputs, then transported long distances, resulting in a significant carbon footprint,” Ryan DuChanois, co-founder and CEO of Solidec, said in the release. “Solidec’s modular reactor produces clean chemicals like hydrogen peroxide on-site, in fewer steps, and with less energy, slashing emissions, supply-chain risk, and cost.”

Solidec said its technology “is poised to disrupt the multibillion-dollar commodity and chemical industries.” The company has already signed up several customers.

The startup, a Rice University spinout, is a graduate of the Chevron Catalyst Program and a member of Greentown Labs Houston. It was cofounded by DuChanois, Haotian Wang and Yang Xia.

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4 Houston researchers awarded projects in DOE's Genesis Mission

federal funding

The U.S. Department of Energy has named the nearly 300 projects selected under the Trump Administration's Genesis Mission, which aims to address some of the largest science and technology challenges in the country. The group features four projects from Houston universities and companies.

The initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security, according to a release.

The selected projects feature 87 led by DOE and National Nuclear Security Administration (NNSA) National Laboratories, 168 led by universities, 19 led by companies and 4 led by nonprofit organizations—totalling 342 participating institutions.

“America has no shortage of bold ideas or talented scientists, and the response to the Genesis Mission proves that,” U.S. Secretary of Energy Chris Wright said in a news release. “The 278 projects selected today represent the very best of our nation’s scientific enterprise. The remarkable number of high-quality proposals we received demonstrates that America’s innovation pipeline is strong, and it points to even greater opportunities for future investment and continued expansion of the Genesis Mission portfolio.”

Twelve Texas-based projects were selected among the 278. The Houston projects and their researchers include:

Caroline Ajo-Franklin

Ajo-Franklin recieved a Phase I grant for her project "Predictive AI to Map Point Mutation Effects on Protein Function: Measurement and Biosynthesis of Isoprenoids." Ajo-Franklin is a professor of biosciences at Rice University, a CPRIT Scholar in Cancer Research and member of the Rice Synthetic Biology Institute. The project aims to accelerate the engineering of microbes that can produce isoprenoids, which are natural compounds that could replace petroleum-derived fuels, solvents and materials.

“This project creates a continuous feedback loop in which AI guides experiments and each experiment generates more detailed data to better hone the AI model,” Ajo-Franklin said in a news release. “In addition, it demonstrates the extraordinary star power Rice has recruited in protein engineering and synthetic biology.”

Anastasios Kyrillidis

Kyrillidis recived a Phase I grant for his project "Cracking the VQA Optimization Bottleneck: AI Methods for Quantum Chemistry and Materials." Kyrillidis is the Noah Harding Associate Professor of Computer Science at Rice and a member of the Ken Kennedy Institute. The project aims to develop AI tools to resolve bottlenecks in quantum computing for chemistry and materials research.

“Our goal is to replace fragile, hand-tuned optimization methods with intelligent systems that can learn from quantum computations while still operating within frameworks that provide strong mathematical guarantees,” Kyrillidis added in the release.

Myoungkyu Lee

Lee received a nearly $750,000 Phase I grant for his project "Physics-Informed AI Surrogates for Turbulent Forced Convection in Energy System." Lee is an assistant professor of mechanical aerospace engineering at the University of Houston. Lee will collaborate with researchers from Lawrence Livermore National Laboratory and University of Pennsylvania on the project and develop artificial intelligence to accelerate the design of materials for advanced nuclear fission and fusion reactors.

“The goal is to develop a tool that runs much faster than today’s most detailed simulations while keeping errors small,” Lee said in a news release. “If successful, the approach could support better heat-transfer predictions for molten-salt reactor design and provide a starting point for studying heat removal in fusion blankets. This is one contribution among many toward reliable, carbon-free energy.”

Amit Padhi

Padhi recieved a grant for his project "Probabilistic Inference of Subsurface Fracture Connectivity for Stimulation Control with Physics-Informed AI." Padhi is a scientific advisor for Halliburton.

The DOE first called for applications for the Genesis Mission in March. At the time, the DOE shared that it would grant approximately $293 million to the selected teams via Phase I awards, ranging from $500,000 to $750,000 for nine-month project periods, and Phase II awards, for $6 million to $15 million over a three-year project period.

Since then, however, the initiative has grown with 15 federal agencies now granting research awards and funding opportunities under the Genesis umbrella. The White House announced this week that it had secured more than $5 billion in federal commitments to expand the initiative.

SLB teams with Liberty Energy on modular power for AI data centers

ai alliance

Houston-headquartered SLB and Denver-based Liberty Energy Inc. announced a strategic agreement this month to support the rapid growth of new data center capacity.

Under the agreement, SLB will supply modular data center infrastructure and oversee large-scale execution, while Liberty will provide modular power generation systems and behind-the-meter power management technology for developers looking to add capacity. According to Reuters, the power will come from natural gas generation.

“The bottleneck in AI infrastructure is no longer just compute. It is the ability to deliver infrastructure and power on the timelines the market now demands,” Gavin Rennick, president of SLB’s New Energy and Industrial business, said in a news release. “By bringing together complementary infrastructure and power capabilities, we will help developers accelerate deployment of new data center capacity.”

The companies seek to specifically offer the modular technologies in areas without traditional grid connections or where grid capacity is limited.

They also aim to improve the "efficiency, flexibility and environmental performance of future data center energy systems," potentially through solutions like hybrid power systems and digital energy management, according to the news release.

Goldman Sachs estimates that U.S. data center capacity will more than double from 31 gigawatts in 2025 to 66 gigawatts in 2027. Other reports predict that Houston and Texas will be home to a significant portion of the data center boom, with capacity in the city and the state also expected to double in the next few years.

“The scale and complexity of AI energy infrastructure is fundamentally changing how power systems are built and deployed,” Ron Gusek, CEO of Liberty Energy, added in the release. “Liberty’s comprehensive power service platform is engineered to meet this transition, as customers increasingly prioritize tailored, integrated solutions. Building on our long-standing relationship with SLB, we are excited to bring power solutions that address immediate capacity constraints while supporting the next generation of energy systems.”

SLB sold its onshore hydraulic fracturing business in the United States and Canada to Liberty Energy in December 2020 in exchange for a 37 percent equity interest in the company.

New Rice study details how carbon capture could reduce AI data center emissions

by the numbers

A new study out of Rice University points to carbon capture and storage methods as pivotal solutions to addressing emissions from AI-driven data centers.

The study was authored by Hon Chung Lau, an adjunct professor in the Department of Chemical and Biomolecular Engineering at Rice University and founder of Low Carbon Energies LLC, and Steve C. Tsai, an energy transition consultant at Low Carbon Energies LLC, and published in the journal Energy & Fuels.

According to the study, U.S. data center power capacity could more than quadruple in five years, growing from 40 gigawatts in 2025 to 169 gigawatts by 2030. Without proper regulation of emissions, the report estimates that carbon dioxide produced by fossil-fuel power plants supplying electricity to data centers could grow at the same scale, increasing from 90 million metric tons to more than 404 million metric tons over the same time period.

The researchers analyzed publicly available data on announced U.S. data centers, which included energy sources, locations, and projected power capacity before estimating data center-related carbon emissions based on each state’s electricity mix. From there, they examined whether those emissions could be captured and stored underground in saline aquifers.

The team estimates that 34 states have enough saline aquifer storage capacity to store more than 100 years of projected data center-related carbon dioxide emissions beyond 2030. Aquifers could store an estimated 59 million metric tons of data center-related carbon dioxide, or about 66 percent of the sector’s emissions in 2025. However, that calculation could grow to 299 million metric tons, or about 74 percent of projected data center-related emissions by 2030.

The researchers found that more than 90 percent of data center-related carbon dioxide emissions could potentially be mitigated through carbon capture and storage when out-of-state storage options are included, even though they note that carbon capture isn’t the only solution.

“It does show that the geology exists to make a meaningful impact, especially in states where data center growth is strongest,” Lau said in a news release.

Rapid growth in states including Texas, Virginia, Pennsylvania, Ohio, Arizona, Colorado, Utah and Illinois was considered in the study. According to the findings, Texas would need to add 25 gigawatts of power capacity by 2030 to meet projected data center demand, as data centers require reliable electricity 24/7.

“Data centers are becoming one of the defining energy challenges of the AI era,” Lau added in the news release. “The question is not only whether we can build enough computing infrastructure, but whether we can power it in a way that is reliable, affordable and compatible with decarbonization goals.”