Houston-based Social Mama uses its platform to connect mothers based on location, interests, and the things their children have in common. Courtesy of Social Mama

Sometimes, to be a mom, is to feel utterly alone. Not every mom is the same, and it's tough for women to find the right support systems — people who are going through or have gone through the same struggles.

A new Houston-based app, Social Mama, is providing a solution. The technology uses artificial intelligence and data collection to learn about its users and match them to other users based on their location and specifications. It's like online dating, but for mothers, co-founder Amanda Ducach says.

"The social impact of the product is so important," Ducach says. "I can't explain to you the isolation and the problem that exists in motherhood. I was completely unaware of it before I started the company."

The idea came to Ducach when she moved across the country to Houston from Minneapolis. Her best friend was in sudden need of a new network — preferably moms who liked wine, spoke Spanish, and had peanut-free households so her son could play without the risk of his allergies. Wanting to help the friend they had abandoned, Ducach and her husband, who is a data architect, decided to try to find a way to get there friend a new friend she could relate to.

"We realized there was nothing that existed that allowed two mothers to connect based on where they lived and their interests, that also took information about their children in account," Ducach says. "We decided to create it."

The app, which is based out of Station Houston, has been in beta with a couple thousand users, but, based on users' experiences, Ducach says they are making a lot of changes before they launch to the public in spring of this year.

Beta lessons learned
Thinking that mothers are too busy for lengthy setups, Ducach made signing up for Social Mama simple.

"We completely put out the wrong product, which isn't a bad thing," Ducach says. "We assumed they would want us to figure out who to match them with, but it's the complete opposite."

The mothers are happy to spend 10 to 15 minutes during the sign in process after downloading the free app, Ducach says, because they want to give the app as much information as possible. They are looking for niche matches.

Another surprise for Ducach was that, similar to dating apps, starting a conversation with a stranger — ideally matched or otherwise — is tough.

"We thought that because it was two women, and there's no sexual chemistry, that it would be easy for them to reach out and start a conversation," Ducach says. "But they actually still find it incredibly awkward."

The app will have things like ice breakers or games to help get the ball rolling.

She also didn't think the mothers would want something like a newsfeed. However, users who might not be in a highly populated city primed for face-to-face friendship still might want access to asking fellow mothers advice in a post on a forum. So, Social Mama will have a customizable, AI-generated newsfeed — kind of like a forum. Posts will have tags, and users will only see things they have an interest in.

"As you continue to use the app, it will create a persona for you," Ducach says, "and it's not mothers that are like you, but mothers you tell us you're looking for."

The app will know when a mother transitions from newborn mother to toddler mother, so that her matches stay relevant as her child ages.

Making an impact
This year, Social Mama will go live in the spring, and Ducach has several growth plans surrounding launch. The app will be fundraising for pre-seed money in 2019, and expanding the team to include a data scientist, as well as other department hires. The company currently has eight employees — most of which are in the Houston HQ — but some reside in Boston and around the world.

The core components of the app are the matching and AI-generated newsfeed, but hosting event meet ups is another successful avenue for the app, as is the potential to recommend products to the mothers. Ducach says this could be a part of the the app's business plan, as is a subscription model for moms to opt into extra perks.

"We know so much information about these moms that they are telling us, that we have the ability to send them recommended products from other mothers," she says.

While Ducach says the initial launch will only be in Houston, the app is already in big demand worldwide. She says they had to shut down the beta version because they had so many international downloads and they were concerned about cybersecurity.

"Moms want this in Germany, China, and Cypress, Texas," Ducach says. "It's really a need everywhere, and we're really excited to expand and see which markets take off."

Ducach says she is excited for the app to go live and affect these moms' lives.

"We're really excited because it should really change the trajectory of these women's lives and create a support group they've never had before," Ducach says.

social mamaSocial Mama went through a beta phase, but when it launches in the spring, it will be totally different. Courtesy of Social Mama

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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.”