Intuitive Machines has landed a $175 million investment as it looks secure satellite deals and develop space-based data centers. Photo courtesy Intuitive Machines.

Houston-based space infrastructure and services company Intuitive Machines has secured a $175 million equity investment from unidentified institutional investors. The investors received shares of Class A stock in exchange for their funding.

Publicly held Intuitive Machines (Nasdaq: LUNR) says it plans to use the capital to help build revenue and invest in technology, including communications and data-processing networks.

“We are building a scalable infrastructure platform from low-Earth orbit to the moon and into deep space,” Intuitive Machines CEO Steve Altemus said in a news release. “With this investment, we can accelerate the integration of the combined company’s collective capabilities to deliver next-generation data, communications, and space-based infrastructure services.”

Intuitive Machines says the $175 million investment will improve its ability to secure deals for satellite systems, the proposed Golden Dome missile defense system and the proposed Mars telecommunications orbiter.

As the company pursues those deals, it’s seeking partners to develop space-based data centers.

The $175 million equity stake comes on the heels of Intuitive Machines completing its $800 million cash-and-stock purchase of Lanteris Space Systems. Intuitive Machines bought the satellite manufacturer from private equity firm Advent International.

In the third quarter, which ended Sept. 30, Intuitive Machines posted a $10 million net loss on revenue of $52.4 million.

Intuitive Machines will be listed on Nasdaq beginning tomorrow, February 14. Photo via intuitivemachines.com

Houston space tech startup closes deal to IPO

now trading

It's official. This Houston company is live in the public market.

Intuitive Machines, a space tech company based in Southeast Houston, announced that it has completed the transaction to merge with Inflection Point Acquisition Corp., a special purpose acquisition company traded on Nasdaq.

“We are excited to begin this new chapter as a publicly traded company,” says Steve Altemus, co-founder, president, and CEO of Intuitive Machines, in a news release. “Intuitive Machines is in a leading position to replace footprints with a foothold in the development of lunar space. With our launch into the public sphere through Inflection Point, we have reached new heights financially and opened the doors for even greater exploration and innovation for the progress of humanity.”

The transaction, which was originally announced in September, was approved by Inflection Point’s shareholders in a general meeting on February 8. As a result of the deal, the company will receive around $55 million of committed capital from an affiliate of its sponsor and company founders, the release states.

“Today marks an incredible milestone for Intuitive Machines, and we will continue to support them on their historic voyage as a public company,” says Michael Blitzer, co-CEO of Inflection Point, in the release. “The company is exceptionally well positioned to capitalize on growing commercial and governmental interests in space, and it has been a privilege to partner with the Company as it positions itself as a strategic national asset.”

Per the release, Inflection Point has been renamed “Intuitive Machines, Inc.” and trading will begin on February 14. Intuitive Machines’ common stock and warrants planned to trade on Nasdaq under the ticker symbols “LUNR” and “LUNRW,” respectively.

“Intuitive Machines is playing a critical role in America’s return to the Moon by providing technologies and services to establish long-term lunar infrastructure and commerce,” says Kam Ghaffarian, Ph. D., co-founder and executive chairman of Intuitive Machines, in the release. “This merger accelerates and strengthens Intuitive Machines’ strategic plan to help expedite a thriving commercial ecosystem for space for the benefit of human civilization.”

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Austin company to bring AI-powered school to The Woodlands

AI education

Austin-based Alpha School, which operates AI-powered private schools, is opening its first Houston-area location in The Woodlands.

The 8,000-square-foot school, scheduled to be ready for the 2026-27 academic year, initially will serve students in kindergarten through eighth grade. Alpha says the school will offer “open workshop spaces and innovative classrooms that support personalized instruction, core academics, leadership development, and real-world life skills.”

Alpha sets aside two hours each school day for the AI-driven, self-paced study of core subjects like math, reading and science. The rest of each school day consists of life-skills workshops focusing on topics such as leadership and financial literacy.

Alpha’s school in The Woodlands has begun accepting applications for the 2026-27 school year. Annual tuition costs $40,000.

“The Woodlands is one of the most dynamic, forward-thinking communities in Texas, and Alpha is proud to bring

an innovative educational model that complements its strong academic foundation,” says Rachel Goodlad, head

of expansion for Alpha.

Founded in 2014, Alpha School combines adaptive technology-driven instruction with immersive life-skills workshops. Its model emphasizes mastery-based learning in core subjects alongside development of communication, critical thinking, financial literacy and leadership skills. It operates more than 15 schools across the country.

Elsewhere in Texas, Alpha operates schools in Austin, Brownsville, Fort Worth and Plano. Alpha also operates 12 Texas Sports Academy campuses in Texas, including locations in Houston, Pearland and Richmond, along with a NextGen Academy esports school in Austin, a school for gifted students in Georgetown, and lower-cost Nova Academy campuses in Austin and Bastrop.

Alpha has fans and critics. While supporters tout students’ high achievement rates, detractors complain about the high tuition and the AI-influenced depersonalization of education.

“Students and our country need to be in relationship with other human beings,” Randi Weingarten, president of the American Federation of Teachers, a teachers union, tells The New York Times. “When you have a school that is strictly AI, it is violating that core precept of the human endeavor and of education.”

Alpha co-founder MacKenzie Price, a podcaster and social media influencer, doesn’t share Weingarten’s views.

“Parents and teachers: We need to embrace this change,” Price wrote after President Trump signed an executive order promoting AI in schools.

The Times notes that Alpha doesn’t employ AI as a tutor or a supplement. Rather, the newspaper says, AI is “the school’s primary educational driver to move students through academic content.”

Houston researcher secures $1.7M to develop drug for aggressive form of breast cancer

cancer research

A University of Houston researcher has joined a $3.2 million effort to develop a new drug designed to attack a cancer-driving protein commonly found in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is one of the most difficult-to-treat forms of cancer and accounts for 10 percent to 15 percent of all breast cancer cases. The disease gets its name because tumors associated with it test negative for estrogen receptors, progesterone receptors and excess HER2 protein, making it difficult to target. Due to this, TNBC is often treated with general chemotherapy, which can come with negative side effects and drug resistance, according to UH.

UH College of Pharmacy research associate professor Wei Wang is developing a drug that can target the disease more specifically. The drug will target MDM2, a protein often overproduced in TNBC that also contributes to faster tumor growth.

Wang is working on a team led by Wei Li, director of the University of Tennessee Health Science Center College of Pharmacy’s Drug Discovery Center. She has received $1.7 million to support the research.

Wang and UH professor of pharmacology and toxicology Ruiwen Zhang have discovered a compound that can break down MDM2. In early laboratory models, the compound has shown the ability to shrink tumors.

Wang and Zhang will focus on understanding how the treatment works and monitoring its effectiveness in models that closely mirror human disease.

“We will study how the drug targets MDM2 and evaluate the most promising drug candidates to determine effective dosing, understand how the drug behaves in the body, compare it with existing treatments and assess early safety,” Wang said in a news release.

Li’s team at the University of Tennessee will be working on the chemistry and drug design end of the project.

“This work could lead to an entirely new class of therapies for triple-negative breast cancer,” Li added in the release. “We’re hopeful that by directly removing the MDM2 protein from cancer cells, we can help more patients respond to treatment regardless of their tumor type.”