Khaliah Guillory, founder of Nap Bar, says she hopes to expand to 30 locations in three years. Photo courtesy Khaliah Guillory

Editor's note: These Houston innovators are making big strides in the fields of neurotechnology, neurodevelopmental diagnosis, and even improving the way we rest and recharge.

For our latest roundup of Innovators to Know, we meet a researcher who is working with teams in Houston and abroad to develop an innovative brain implant; a professor who has created an AI approach to diagnosis; and a local entrepreneur whose brand is poised for major expansion in the coming years.

Jacob Robinson, CEO of Motif Neurotech

Houston startup Motif Neurotech has been selected by the United Kingdom's Advanced Research + Invention Agency (ARIA) to participate in its inaugural Precision Neurotechnologies program. The program aims to develop advanced brain-interfacing technologies for cognitive and psychiatric conditions. Three Rice labs will collaborate with Motif Neurotech to develop Brain Mesh, which is a distributed network of minimally invasive implants that can stimulate neural circuits and stream neural data in real time. The project has been awarded approximately $5.9 million.

Motif Neurotech was spun out of the Rice lab of Jacob Robinson, a professor of electrical and computer engineering and bioengineering and CEO of Motif Neurotech.

Robinson will lead the system and network integration and encapsulation efforts for Mesh Points implants. According to Rice, these implants, about the size of a grain of rice, will track and modulate brain states and be embedded in the skull through relatively low-risk surgery. Learn more.

Dr. Ryan S. Dhindsa, Dhindsa Lab

Dr. Ryan S. Dhindsa, assistant professor of pathology and immunology at Baylor and principal investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, and his team have developed an artificial intelligence-based approach that will help doctors to identify genes tied to neurodevelopmental disorders. Their research was recently published the American Journal of Human Genetics.

Dhindsa Lab uses “human genomics, human stem cell models, and computational biology to advance precision medicine.” The diagnoses that stem from the new computational tool could include specific types of autism spectrum disorder, epilepsy and developmental delay, disorders that often don’t come with a genetic diagnosis.

“Although researchers have made major strides identifying different genes associated with neurodevelopmental disorders, many patients with these conditions still do not receive a genetic diagnosis, indicating that there are many more genes waiting to be discovered,” Dhindsa says. Learn more.

Khaliah Guillory, Founder of Nap Bar

From nap research to diversity and inclusion, this entrepreneur is making Houston workers more productiveFrom opening Nap Bar and consulting corporations on diversity and inclusion to serving the city as an LGBT adviser, Khaliah Guillory is focused on productivity. Courtesy of Khaliah Guillory

Khalia Guillory launched her white-glove, eco-friendly rest sanctuary business, Nap Bar, in Houston in 2019 to offer a unique rest experience with artificial intelligence integration for working professionals, entrepreneurs and travelers who needed a place to rest, recharge and rejuvenate.

Now she is ready to take it to the next level, with a pivot to VR and plans to expand to 30 locations in three years.

Guillory says she’s now looking to scale the business by partnering with like-minded investors with experience in the wellness space. She envisions locations at national and international airports, which she says offer ripe scenarios for patrons needing to recharge. Additionally, Guillory wants to build on her initial partnership with UT Health by going onsite to curate rest experiences for patients, caregivers, faculty, staff, nurses and doctors. Colleges also offer an opportunity for growth. Learn more.

A new AI tool from a Baylor College of Medicine Lab could help better diagnose specific types of autism spectrum disorder, epilepsy and developmental delay disorders. Photo via Getty Images.

Houston lab develops AI tool to improve neurodevelopmental diagnoses

developing news

One of the hardest parts of any medical condition is waiting for answers. Speeding up an accurate diagnosis can be a doctor’s greatest mercy to a family. A team at Baylor College of Medicine has created technology that may do exactly that.

Led by Dr. Ryan S. Dhindsa, assistant professor of pathology and immunology at Baylor and principal investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, the scientists have developed an artificial intelligence-based approach that will help doctors to identify genes tied to neurodevelopmental disorders. Their research was recently published the American Journal of Human Genetics.

According to its website, Dhindsa Lab uses “human genomics, human stem cell models, and computational biology to advance precision medicine.” The diagnoses that stem from the new computational tool could include specific types of autism spectrum disorder, epilepsy and developmental delay, disorders that often don’t come with a genetic diagnosis.

“Although researchers have made major strides identifying different genes associated with neurodevelopmental disorders, many patients with these conditions still do not receive a genetic diagnosis, indicating that there are many more genes waiting to be discovered,” Dhindsa said in a news release.

Typically, scientists must sequence the genes of many people with a diagnosis, as well as people not affected by the disorder, to find new genes associated with a particular disease or disorder. That takes time, money, and a little bit of luck. AI minimizes the need for all three, explains Dhindsa: “We used AI to find patterns among genes already linked to neurodevelopmental diseases and predict additional genes that might also be involved in these disorders.”

The models, made using patterns expressed at the single-cell level, are augmented with north of 300 additional biological features, including data on how intolerant genes are to mutations, whether they interact with other known disease-associated genes, and their functional roles in different biological pathways.

Dhindsa says that these models have exceptionally high predictive value.

“Top-ranked genes were up to two-fold or six-fold, depending on the mode of inheritance, more enriched for high-confidence neurodevelopmental disorder risk genes compared to genic intolerance metrics alone,” he said in the release. “Additionally, some top-ranking genes were 45 to 500 times more likely to be supported by the literature than lower-ranking genes.”

That means that the models may actually validate genes that haven’t yet been proven to be involved in neurodevelopmental conditions. Gene discovery done with the help of AI could possibly become the new normal for families seeking answers beyond umbrella terms like “autism spectrum disorder.”

“We hope that our models will accelerate gene discovery and patient diagnoses, and future studies will assess this possibility,” Dhindsa added.

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Who are Houston's top innovators? Nominate now for 2026 Houston Innovation Awards

Calling All Innovators

Calling all Houston innovators: The 2026 Houston Innovation Awards, presented by InnovationMap, return this fall to celebrate the best and brightest in the Houston innovation ecosystem right now.

We're asking you to nominate Houston's top innovators and startups for this year's awards. Nominations are open now through August 27 and can be made on behalf of yourself, your organization, and other influential leaders in the local innovation scene.

The annual awards program recognizes the most innovative individuals and companies in Houston across 10 prestigious categories.

This year's awards will honor the following categories:

  • Minority-founded Business, honoring an innovative startup founded or co-founded by BIPOC or LGBTQ+ representation.
  • Female-founded Business, honoring an innovative startup founded or co-founded by a woman.
  • Energy Transition Business, honoring an innovative startup providing a solution within renewables, climatetech, clean energy, alternative materials, circular economy, and beyond.
  • Health Tech Business, honoring an innovative startup within the health and medical technology sectors.
  • Deep Tech Business, honoring an innovative startup providing technology solutions based on substantial scientific or engineering challenges, including those in the AI, robotics, and space sectors.
  • Startup of the Year (People's Choice), honoring a startup celebrating a recent milestone or success. The winner will be selected by the community via an interactive voting experience.
  • Scaleup of the Year, honoring an innovative later-stage startup that's recently reached a significant milestone in company growth.
  • Incubator/Accelerator of the Year, honoring a local incubator or accelerator that is championing and fueling the growth of Houston startups.
  • Mentor of the Year, honoring an individual who dedicates their time and expertise to guide and support budding entrepreneurs.
  • Trailblazer, honoring an innovator who's made a lasting impact on the Houston innovation community.

You have three weeks to submit nominees, so don't delay — nominate today at this link or fill out the form below. Qualified nominees will receive a formal application to complete, which will be reviewed by our esteemed panel of judges to determine the finalists and winners.

More announcements about the 2026 Houston Innovation Awards are coming soon, including an introduction to this year's panel of judges. Interested in sponsoring the 2026 Houston Innovation Awards? Please contact sales@innovationmap.com.

KBR unveils name, branding for new government services spinoff

new identity

Houston-based KBR Inc.'s new Mission Technology Solutions unit officially has a name.

The previously announced government services spinoff, which until now has been nicknamed SpinCo, will now be known as Trinzic. The company said in a news release that the name was inspired by the word intrinsic, "reflecting essential, built-in capabilities and deep expertise operating in some of the world’s most complex and mission-critical environments."

New York-based firm Siegel + Gale developed the company's new brand. In addition to the new name, the company shares that its new logo will feature a stylized letter N, with brand colors in orange and gray.

“Trinzic represents who KBR Mission Tech has always been at our core: an essential partner bringing innovation and trusted execution to the missions that matter most,” Stuart Bradie, KBR President and CEO, said in the release. “The new Trinzic brand represents both our strong heritage and the tremendous opportunity ahead. Our teams aim to deliver solutions that address some of the world’s most critical national priorities every day, and this new identity captures the purpose-driven culture and mission focus that we expect to continue to define the company moving forward.”

KBR expects the spin-off to be completed in January 2027. At that time, Trinzic will operate as an independent, publicly traded company that will focus on technology and engineering services for the space and national security sectors.

KBR will remain a separate publicly traded company that will focus on sustainable technology and services to support the energy transition. KBR first announced the spinoff plans in October 2025.

Last month, KBR announced two C-suite hires for Trinzic, or what was then known as SpinCo.

Michael LaRouche will serve as Trinzic's inaugural president and CEO. LaRouche is currently CEO of Serco North America, a Virginia-based government services contractor. Nicholas Veasey, current CFO of Virginia-based MAG Aerospace, was named Trinzic's CFO. Bradie will remain chairman, president and CEO of KBR.

Rice lands $19 million grant to build AI-driven quantum materials lab

Quantum Boost

Rice University has received a $19.9 million award from the National Science Foundation to increase the production of quantum and electronic materials by using a combination of artificial intelligence, cloud-based labs and robotics.

The four-year project will create a remote and automated research platform that aims to accelerate discovery and the testing process, according to Rice. The aptly titled project, "Revolutionizing AI-Driven Autonomous Experimentation for Next-Generation Semiconductor Synthesis” (READINESS), will be led by Rice materials scientist Jun Lou, who serves as principal investigator. SUNY Polytechnic Institute and the University of Texas at Austin will collaborate with Rice on the project.

At first, READINESS will focus on two-dimensional materials, oxide semiconductors and diamond thin films that can support emerging technologies, like quantum devices.

READINESS is one of 20 projects selected for the NSF's Programmable Cloud Laboratories Test Bed initiative, which aims to provide more U.S. researchers with access to automated scientific tools.

Additionally, the project aligns with the Department of Energy’s Genesis Mission, which recently selected four projects from Houston universities and companies, including two from Rice. The national initiative aims to unite government, industry, academia and philanthropy to lead to breakthroughs in energy, scientific discovery and national security.

READINESS will offer more advanced lab systems remotely via a cloud interface to assist startups, other research groups, and companies that don’t have the resources, staffing or equipment to produce quantum materials and advanced electronics. READINESS will also allow researchers to simulate experiments via virtual experiments or digital twins before they conduct the physical experiment.

Rice says this will be particularly useful in quantum materials research, which is often met with barriers— like the adjustments of chemical composition, gas flow, pressure, and temperature—that can change the properties of a material.

“This project will give researchers access to capabilities that have traditionally been available only in a handful of laboratories,” David Sholl, executive vice president for research at Rice, said in a news release. “By lowering those barriers, READINESS can accelerate discovery and expand who can participate in cutting-edge materials research.”

Additionally, the project’s AI aspect will offer recommendations for new tests, recognize safety limits and analyze results to assist researchers.

“Responsible AI should complement researchers’ capabilities rather than replace their judgment,” Luay Nakhleh, Dean of Rice’s George R. Brown School of Engineering and Computing, added in the release. “READINESS embodies this principle by combining automated systems with transparency, safeguards and human oversight at critical decision points.”

READINESS’ lab will be based out of Rice’s Ralph S. O’Connor Building for Engineering and Science. Partner sites will also contribute equipment, expertise and workforce development programs, according to Rice.

Ultimately, READINESS aims to elevate the speed, reliability and reproducibility of experiments, and to promote access to automated scientific tools for U.S. researchers.

“Our goal is to create a laboratory that researchers from across the country can use to produce advanced electronic and quantum materials on demand,” Lou added in the release. “By integrating robotics, AI and digital twins, we aim to learn from every experiment and shorten the pathway from scientific discovery to practical technology.”