Axiom Space and Intuitive Machines have shared updates on some of their latest projects. Photo courtesy of NASA

Houston-based space tech companies Axiom Space and Intuitive Machines recently shared updates on innovative projects and missions, each set to launch by 2027.

Axiom Space

Axiom Space, developer of the world’s first commercial space station and other space infrastructure, is gearing up to launch two orbital data center nodes to low-earth orbit by the end of 2025.

The Axiom Space nodes will lay the foundation for space-based cloud computing. Axiom says orbital data centers provide cloud-enabled data storage and processing, artificial intelligence, and machine learning directly to satellites, constellations, and other spacecraft in Earth’s orbit. This innovation will reduce reliance on earth-based systems, enhance wireless mesh networks and improve real-time operation of space-borne assets, according to Axiom.

Axiom has been working on the development of orbital data centers since 2022. The two nodes going into space in 2025 will be part of Kepler Communications’ 10-satellite data relay network, which is scheduled to launch by the end of this year. Axiom Space and Kepler Communications have been collaborating since 2023.

Kam Ghaffarian, co-founder, executive chairman, and CEO of Axiom, says his company already has deals in place with buyers of space-based cloud computing services. Orbital data centers “are integral to Axiom Space’s vision of era-defining space infrastructure, unlocking transformational capabilities and economic growth,” he says.

Axiom Space says it will be able to buy additional payloads on Kepler’s network to boost capacity for orbital data centers. The two companies will team up to provide network and orbital data center services to various customers.

Intuitive Machines

Meanwhile, Intuitive Machines, a space exploration, infrastructure and services company, has picked SpaceX’s Falcon 9 rocket to launch its fourth delivery mission to the moon. The launch will include two lunar data relay satellites for NASA.

Intuitive Machines says its fourth lunar delivery mission is scheduled for 2027. The mission will comprise six NASA commercial lunar payloads, including a European Space Agency drill set designed to search for water at the moon’s south pole.

“Lunar surface delivery and data relay satellites are central to our strategy to commercialize the moon,” Intuitive Machines CEO Steve Altemus says.

The first of five lunar data relay satellites will be included in the company’s third delivery mission to the moon. The fourth mission, featuring two more satellites, will be followed by two other satellite-delivery missions.

Intuitive Machines has successfully launched its lunar lander, which, once it lands on the moon, would be the first commercial vehicle to do so. Photo via Intuitive Machines

Houston space tech co. makes history with lunar lander launch

one small step

Houston-based Intuitive Machines just made one giant leap for mankind.

On February 15, the space exploration, infrastructure, and services company successfully launched its IM-1 mission Nova-C class lunar lander on SpaceX’s Falcon 9 rocket. The launch followed a one-day delay.

The lunar touchdown of the Odysseus spacecraft is set for February 22, according to The Washington Post.

“If all goes well … it will become the first American spacecraft to gently set down on the moon’s surface since the Apollo 17 moon landing in 1972,” The New York Times notes.

It also would be the first commercial vehicle to land on the moon.

The IM-1 mission lander launched from NASA’s Kennedy Space Center in Florida at 12:05 a.m. CST. The lunar lander reached its orbit about 48 minutes later, and made its first communication with Intuitive Machines’ mission operations center in Houston at 12:59 a.m. CST.

The Intuitive Machines IM-1 mission is the company’s first attempted lunar landing as part of NASA’s Commercial Lunar Payload Services initiative, a key part of NASA’s Artemis moon exploration efforts. The science and technology payloads sent to the moon’s surface as part of the initiative are aimed at gearing up for human missions and a sustainable human presence on the moon’s surface.

NASA is the primary customer for this mission, paying Intuitive Machines $118 million to take its payloads to the moon’s surface, including a stereo camera to observe the plume of dust kicked up during landing and a radio receiver to measure the effects of charged particles on radio signals, according to The Times. Also aboard is cargo such as a camera built by students at Embry-Riddle Aeronautical University in Daytona Beach, Florida, and the Moon Phases project by American artist Jeff Koons.

“We are keenly aware of the immense challenges that lie ahead,” Steve Altemus, co-founder, president and CEO of Intuitive Machines, says in a news release. “However, it is precisely in facing these challenges head-on that we recognize the magnitude of the opportunity before us: to softly return the United States to the surface of the Moon for the first time in 52 years.”

The liftoff of the IM-1 mission was targeted for a multiday launch window that opened at 11:57 p.m. CST on February 13. Intuitive Machines and SpaceX had concluded pre-launch testing on February 12.

“I feel fairly confident that we’re going to be successful softly touching down on the moon,” Altemus told The New York Times. “We’ve done the tests. We tested and tested and tested. As much testing as we could do.”

Last year, Intuitive Machines went public through a SPAC (special purpose acquisition company) merger with Inflection Point Acquisition Corp. The Houston company’s stock trades on the NASDAQ stock market. Following the launch of the lunar lander, Intuitive Machines saw a spike in its stock price on February 15.

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UH receives $2.6M gift to support opioid addiction research and treatment

drug research

The estate of Dr. William A. Gibson has granted the University of Houston a $2.6 million gift to support and expand its opioid addiction research, including the development of a fentanyl vaccine that could block the drug's ability to enter the brain.

The gift builds upon a previous donation from the Gibson estate that honored the scientist’s late son Michael, who died from drug addiction in 2019. The original donation established the Michael C. Gibson Addiction Research Program in UH's department of psychology. The latest donation will establish the Michael Conner Gibson Endowed Professorship in Psychology and the Michael Conner Gibson Research Endowment in the College of Liberal Arts and Social Sciences.

“This incredibly generous gift will accelerate UH’s addiction research program and advance new approaches to treatment,” Daniel O’Connor, dean of the College of Liberal Arts and Social Sciences, said in a news release.

The Michael C. Gibson Addiction Research Program is led by UH professor of psychology Therese Kosten and Colin Haile, a founding member of the UH Drug Discovery Institute. Currently, the program produces high-profile drug research, including the fentanyl vaccine.

According to UH, the vaccine can eliminate the drug’s “high” and could have major implications for the nation’s opioid epidemic, as research reveals Opioid Use Disorder (OUD) is treatable.

The endowed professorship is combined with a one-to-one match from the Aspire Fund Challenge, a $50 million grant program established in 2019 by an anonymous donor. UH says the program has helped the university increase its number of endowed chairs and professorships, including this new position in the department of psychology.

“Our future discoveries will forever honor the memory of Michael Conner Gibson and the Gibson family,” O’Connor added in the release. “And I expect that the work supported by these endowments will eventually save many thousands of lives.”

CenterPoint and partners launch AI initiative to stabilize the power grid

AI infrastructure

Houston-based utility company CenterPoint Energy is one of the founding partners of a new AI infrastructure initiative called Chain Reaction.

Software companies NVIDIA and Palantir have joined CenterPoint in forming Chain Reaction, which is aimed at speeding up AI buildouts for energy producers and distributors, data centers and infrastructure builders. Among the initiative’s goals are to stabilize and expand the power grid to meet growing demand from data centers, and to design and develop large data centers that can support AI activity.

“The energy infrastructure buildout is the industrial challenge of our generation,” Tristan Gruska, Palantir’s head of energy and infrastructure, says in a news release. “But the software that the sector relies on was not built for this moment. We have spent years quietly deploying systems that keep power plants running and grids reliable. Chain Reaction is the result of building from the ground up for the demands of AI.”

CenterPoint serves about 7 million customers in Texas, Indiana, Minnesota and Ohio. After Hurricane Beryl struck Houston in July 2024, CenterPoint committed to building a resilient power grid for the region and chose Palantir as its “software backbone.”

“Never before have technology and energy been so intertwined in determining the future course of American innovation, commercial growth, and economic security,” Jason Wells, chairman, president and CEO of CenterPoint, added in the release.

In November, the utility company got the go-ahead from the Public Utility Commission of Texas for a $2.9 billion upgrade of its Houston-area power grid. CenterPoint serves 2.9 million customers in a 12-county territory anchored by Houston.

A month earlier, CenterPoint launched a $65 billion, 10-year capital improvement plan to support rising demand for power across all of its service territories.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.

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

ai research

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.