Through the Houston-based Muvve app, fitness fans can meet each other on the app or at curated events around town. Courtesy of Muvve

When Avi Ravishankar decided to train for a marathon in high school, he wanted to find a training buddy. He got lucky, and one found him: his classmate, Julian Se, took on the task.

"Julian decided he was going to train with me — he's a strong personality," Ravishankar says. "We started training, and to this day, we just became best friends from there."

Usually, finding fitness friends and training buddies isn't that easy — especially in a huge, spread out city of Houston. Ravishankar and Se turned their friendship into a business partnership to solve this problem. Houston-based Muvve is a mobile app that's mission is to connect fellow fitness enthusiasts across the city. The two came up with the idea as a way to merge their passions.

"The only idea we had was we wanted to have a startup with running," Ravishankar, co-founder of Muvve, says. "We loved running and tech, so we just wanted to find a way to bridge the gap there."

Ravishankar, a Rice University alumnus, says he took his idea to Owl Spark, an early stage accelerator on campus, and they just started asking people about their pain points when it came to working out.

"The big two things that we found were accountability and motivation," he says. "Out of 100 people, I would say all 100 people said that."

Ravishankar, who worked for six years in engineering at Oxy, says that these pain points are actually pretty inherent to individual sports.

"Intrinsic motivation is hard to find, especially in individual sports, like running, cycling, or yoga," he says. "Whereas, in team sports, like basketball or volleyball, you have the team to train with and motivate you."

The app, which launched in May of 2018, acts like a network for fitness lovers — just like a dating app would connect potential romantic partners. Dating apps, actually, were a big influence on Ravishankar, he says.

"I fell in love with dating apps. It was this mind-blowing idea for me of how many people you can connect with — even if it's not for dating," he says. "The amount of people I have met just through technology always blows my mind. There's so much power in it."

Through his experience as an instructor at Black Swan Yoga, Ravishankar also realized boutique fitness studios needed a place to market their events to a wider audience. This gave Ravishankar an idea of a way to bridge the gap between different fitness studios around town via the app.

"For us the goal is to have all of these events and activities to go and meet like-minded people," he says.

Muvve's goal is to have these managed market events that are curated to ensure quality, rather than the hit or miss aspect of existing platforms.

"For me the curation aspect makes for a better experience," Ravishankar says.

Now, Muvve is focused on growing its user base from 4,500 to 10,000 users by summer. Simultaneously, the company is hoping to launch its first seed round of funding, and then using its funds and its network to launch into Austin by summer.

Ravishankar says finding potential investors has been the most challenging aspect.

"There's no money in Houston for a fitness tech startup," he says. "That space isn't really respected. For me, it's kind of a trickling effect. If there's no money in it, there's no one really to help you because they don't have a vested interest."

While funding has been daunting, Ravishankar says he's had some success in hiring out his team of developers, despite the uphill battle of hiring tech talent in Houston.

"There's hidden talent, but it's not obvious talent," Ravishankar says. "I think that people get discouraged by hiring in Houston because of that."


Muvve is harnessing the power of social media and digital networks to bridge the gap between fitness lovers across the city. Courtesy of Muvve

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

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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.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”