A Houston founder is introducing you to ema — a GPT-based chat platform and your new best friend in women's health. Photo via Canva

Amanda Ducach set out to create a platform where mothers could connect with each other socially, but when she launched SocialMama just ahead of a global pandemic, she soon learned there was a bigger market need for access to information surrounding women's health — from fertility to menopause.

After pivoting her femtech platform to include women's health experts, she realized her technology wasn't able to completely support growing user base. The platform, which was called SocialMama, saw users engaging with experts in similar ways — and as Ducach looked into growing the platforms users, she realized that 24/7 access to experts was going to be hard to scale.

"We noticed that most of these conversations were repetitive," Ducach tells InnovationMap. "You had women asking an expert about tracking ovulation a hundred times a day. Having an OBGYN answer that question a hundred times a day was crazy and just not scalable."

Ducach says that about 16 months ago, her team took a step back to recreate the platform incorporating GPT technology. GPT stands for generative pre-trained transformer, and is a family of artificial intelligence language models most recently made popular but ChatGPT developed by OpenAI.

Now, after building out the platform, Ducach's company has rebranded to ema. The AI-based chat tool — named from the three letters in the middle of "female" — is meant to feel like texting "your childhood best friend who became an OBGYN physician," Ducach says. Not only can the chat provide crucial medical information, but it has a memory and can pick up conversations where they left off to be a constant resource to users.

The new platform, deemed ema, operates as an AI-based chat for women to engage with. Screenshot courtesy of ema

"Ema can answer everything from, 'how do I improve my baby's latch,' to 'how to I get a diabetic-friendly brownie recipe,' to 'give me an affirmation that's spoken like Snoop Dog because I'm feeling sad today,'" Ducach says.

Ducach first described the evolution of the company to AI-based communication last summer on the Houston Innovators Podcast. Now, the platform is gearing up for its launch next month and plans to raise seed funding this year to double her current team of 10 people to support the company's growth. Ducach, who was accepted into the Techstars Austin program in 2021, also says she's looking for more beta users in the meantime, and those interested should reach out to her or her team.

Ultimately, Ducach says the mission of ema is to democratize access to women's health care so that women feel supported and just a few taps away from important information.

"Barriers to care for women who face socioeconomic disparities is where you see the need for change," Ducach says. "For us, it's reducing those barriers of care. Ema is always in your pocket. You have access to her 24/7. The way that ema is really structured and her purpose is to catch red flags so that we can then help the female user get to positive health outcomes."

Amanda Ducach founded the company in 2019. Photo via Twitter

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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.