How this Houston innovator is making AI accessible, personal, and safe

HOUSTON INNOVATORS PODCAST EPISODE 198

Anshumali Shrivastava joins the Houston Innovators Podcast to share the revolutionary work ThirdAI is doing for artificial intelligence. Photo via rice.edu

Anshumali Shrivastava's career has evolved alongside the rise of artificial intelligence. Now, he believes his company represents the future of the industry's widespread implementation.

Shrivastava, who's also a professor at Rice University, founded ThirdAI, pronounced "third eye," in 2021 to democratize artificial intelligence through software innovations. As Shrivastava explains on the Houston Innovators Podcast, AI processes have historically been run on larger, less accessible computing hardware. ThirdAI's tools are able to run on a regular central processing unit, or CPU, rather than the more powerful graphics processing unit, or GPU.

"We focus on the problems that people are facing in the current AI ecosystem," Shrivastava says on the podcast. "Right now, if you are to build some of the large-language models and (linear programming) models, you need a lot of computing power, dedicated engineers to move it, and, even if you are using fully managed services, it's costly and there are a lot of privacy implications because you have to move data around."



These are some of the challenges for AI development, and, as Shrivastava points out, this process isn't even accessible for 90 percent of the world that lacks the infrastructure to do it. And, even for companies that can afford to invest in the dedicated GPU hardware, there's a global chip shortage.

ThirdAI's solution? Enable AI processes on the hardware that is accessible — CPUs.

"That is what our product offerings are — the AI ecosystem on commodity infrastructure," he says, explaining that ThirdAI's goal is also to improve existing AI applications.

One specific AI application that ThirdAI is making more effective for its customers is search tools in ecommerce. The need to make online shopping searches as quick and as accurate as possible directly affects the company's ability to complete the transaction. Wayfair tapped into ThirdAI's tech to address its latency in its on-site searching.

"Their problem was in the domain of making language models and search engines, which are AI based, very efficient," Shrivastava says. "We were able to bring down (latency) significantly with our technology."

One AI application that's taken off over the past few years is the chat-based model — led by OpenAI's ChatGPT. As exciting as the prospect of navigating information via chatbot is, many companies, understandably, have privacy concerns.

ThirdAI created PocketLLM to address this concern. The platform, which ThirdAI offers for free, operates completely on the harddrive of the owner of the data, meaning your data stays with you.

"ChatGPT has shown the world what is possible," Shrivastava says, explaining that 80 or 90 percent of use cases are people or companies wanting to take their knowledge and data and turn it into an AI chat tool. "What people want is a ChatGPT-kind of agent on their data, but they don't want their proprietary data to be leaked to the outer world."

"Because I can build AI where your data is, your data never have to leave your ecosystem. PocketLLM is a demonstration of that capability," Shrivastava continues. "It's a tool that uses our software stack and essentially looks at your data and builds this chat agent and offers you an air-gapped privacy."

Shrivastava explains that the tool can be used for enterprises or even personal applications — like navigating past conversations on email, seeing as no email provider seems to have an optimized search option.

PocketLLM is just one thing ThirdAI is working on. Shrivastava explains that the company is developing an entire ecosystem of tools that can be used on CPUs.

"If AI is going to be an agent, it better be personalized," he says, explaining that no one AI will have the right answer for everyone.

Shrivastava shares more about the future of both AI and ThirdAI, which is growing to keep up with demand. Listen to the interview here — or wherever you stream your podcasts — and subscribe for weekly episodes.

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ThirdAI's new PocketLLM app is free to use and completely secure. Photo via Getty Images

Houston startup launches innovative chat tool on its mission to democratize AI

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Artificial intelligence has a big potential to disrupt the technology industry, and one Houston company that was founded by a computer science professor at Rice University, is fast on its way to help lead that future now in a convenient and affordable way.

Founded by Anshumali Shrivastava and Tharun Medini, a recent Ph.D. who graduated under Shrivastava from Rice's Department of Electrical and Computer Engineering, ThirdAI is building AI deep learning tools that aim to be sustainable and scalable to fit the changing needs of the industry. The company is on a mission to democratize AI, Shrivastava tells InnovationMap.

Shrivastava likes to use the word efficiently when describing what makes ThirdAI different, and how its programs can teach AI via multiple avenues to be what he refers to as “1,000 times more efficient.”

“The carbon footprint of these models are off the charts, and so expensive,” Shrivastava. “We believe this could be made efficient. … We use the same ideas that were developed, but we do it on a massive scale.”

ThirdAI's latest tool is a multilingual ChatGPT-like AI training tool PocketLLM app. Announced earlier this month, the tool is free. According to the company, users have access to a personalized chatbot that understands what the user is searching within documents, and can be fine-tuned to help elaborate your thoughts through a neural search.

ThirdAI's PocketLLM app is free to use. Image courtesy of ThirdAI

The app is private and secure and runs on deep-learning algorithms according to Vinod Iyengar, head of product at ThirdAI, and no one — not even ThirdAI — has access to the documents except the user.

“Tools exist to help people search text files, but that requires sharing your data with third parties,” says Iyengar in a news release. “Our solution is private and secure, powered by deep learning algorithms. And it returns results lightning fast.”

The process includes the user installing the app, uploading any text document files, and clicking "train." Minutes later, you have an AI tool that can process the information in those documents.

“The neural search encourages you to elaborate on your thoughts with details in the discover window and see the difference in results,” says Shrivastava in the release. “It can also be fine-tuned to your tastes by selecting the relevant option and hitting the update button to re-train."

In September of 2021, ThirdAI — pronounced "third eye" — raised $6 million in seed funding. The round was invested in by three California-based VCs — Neotribe Ventures and Cervin Ventures, which co-led the round with support from Firebolt Ventures. The technology ThirdAI is working with comes from 10 years of deep learning research and innovation. The company's technology has the potential to make computing 15-times faster, the company reports.

Anshumali Shrivastava is an associate professor of computer science at Rice University. Photo via rice.edu

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Texas cybersecurity co. expands unique train-to-hire model to Houston

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It’s increasingly more difficult to ensure the confidentiality, integrity, and availability of proprietary data and information in the ever-changing, ever-evolving digital world.

Cyberattacks, including malware, phishing, and ransomware, are becoming increasingly common and sophisticated, posing a consistent threat to a company’s sustainability and bottom line.

To combat that trend, Nukudo, a San Antonio-based cybersecurity workforce development company, is expanding its initiative to bridge the global cybersecurity talent gap through immersive training and job placement to Houston.

“We saw that there was a need in the market because there's a shortage of skilled manpower within the cybersecurity industry and other digital domains,” says Dean Gefen, CEO of NukuDo. “So, our initial goal was to take a large pool of people and then make them to be fully operational in cybersecurity in the shortest amount of time.”

The company refers to the plan as the “training-to-employment model,” which focuses on providing structured training to select individuals who then acquire the skills and knowledge necessary to secure and maintain fruitful careers.

The company identifies potential associates through its proprietary aptitude test, which recognizes individuals who possess the innate technical acumen and potential for success in various cybersecurity roles, regardless of their level of education.

“We take in people from all walks of life, meaning the program is purely based on the associate’s potential,” Gefen says. “We have people who were previously aircraft engineers, teachers, graphic designers, lawyers, insurance agents and so forth.”

Once selected, associates are trained by cybersecurity experts while gaining hands-on experience through scenario-based learning, enabling them to be deployed immediately as fully operational cybersecurity professionals.

The program training lasts just six months—all paid—followed by three years of guaranteed employment with NukuDo.

While in training, associates are paid $ 4,000 per month; then, they’re compensated by nearly double that amount over the next three years, ultimately pushing their salaries to well into the six figures after completing the entire commitment.

In addition to fostering a diverse talent pipeline in the cybersecurity field, NukuDo is creating a comprehensive solution to address the growing shortage of technical talent in the global workforce.

And arming people with new marketable skills has a litany of benefits, both professional and personal, Gefen says.

“Sometimes, we have associates who go on to make five times their previous salary,” says Gefen. “Add to that fact that we had someone that had a very difficult life beforehand and we were able to put him on a different path. That really hits home for us that we are making a difference.

Nulkudo currently has partnerships with companies such as Accenture Singapore and Singapore Airlines. Gefen says he and his team plans to have a new class of associates begin training every month by next year and take the model to the Texas Triangle (Houston, Austin and Dallas)—then possibly nationwide.

“The great thing about our program is that we train people above the level of possible threat of replacement by artificial intelligence,” Gefen says. “But what we are also doing, and this is due to requirements that we have received from clients that are already hiring our cyber professionals, is that we are now starting to deliver AI engineers and data scientists in other domains.”

“That means that we have added more programs to our cybersecurity program. So, we're also training people in data science and machine learning,” he continues.

All interested candidates for the program should be aware that a college degree is not required. NukuDo is genuinely interested in talented individuals, regardless of their background.

“The minimum that we are asking for is high school graduates,” Gefen says. “They don't need to have a college degree; they just need to have aptitude. And, of course, they need to be hungry to make this change.”

2 Houston universities declared among world’s best in 2026 rankings

Declaring the Best

Two Houston universities are in a class of their own, earning top spots on a new global ranking of the world's best universities.

Rice University and University of Houston are among the top 1,200 schools included in the QS World University Rankings 2026. Ten more schools across Texas make the list.

QS (Quacquarelli Symonds), a London-based provider of higher education data and analytics, compiles the prestigious list each year; the 2026 edition includes more than 1,500 universities from around the world. Factors used to rank the schools include academic reputation; employer reputation; faculty-student ratio; faculty research; and international research, students, and faculty.

In Texas, University of Texas at Austin lands at No. 1 in the state, No. 20 in the U.S., and No. 68 globally.

Houston's Rice University is close behind as Texas' No. 2 school. It ranks 29th in the U.S. and No. 119 in the world. Unlike UT, which fell two spots globally this year (from No. 66 to 68), Rice climbed up the charts, moving from 141st last year to No. 119.

University of Houston impresses as Texas' 4th highest-ranked school. It lands at No. 80 in the U.S. and No. 556 globally, also climbing about 100 spots up the chart.

Rice and UH are on a roll in regional, national, and international rankings this year.

Rice earned top-15 national rankings by both Niche.com and Forbes last fall. Rice claimed No. 1 and UH ranked No. 8 in Texas in U.S. News & World Report's 2025 rankings. Rice also topped WalletHub's 2025 list of the best colleges and universities in Texas for 2025.

More recently, in April, both UH and Rice made U.S. News' 2025 list of top grad schools.

In all, 192 U.S. universities made the 2026 QS World University Rankings — the most of any country. Topping the global list is the Massachusetts Institute of Technology (MIT).

“The results show that while U.S. higher education remains the global leader, its dominance is increasingly challenged by fast-rising emerging systems,” says the QS World University Rankings report. “A decade ago, 32 American universities [were] featured in the world’s top 100; today, that number has dropped to 26, and only 11 of these institutions have improved their position this year."

The 12 Texas universities that appear in the QS World University Rankings 2026 list are:

  • University of Texas at Austin, No. 20 in the U.S. and No. 68 in the world (down from No. 66 last year).
  • Rice University, No. 29 in the U.S. and No. 119 in the world (up from No. 141 last year).
  • Texas A&M University, No. 32 in the U.S. and No. 144 in the world (up from No. 154 last year).
  • University of Houston, No. 80 in the U.S. and No. 556 in the world (up from 651-660 last year).
  • University of Texas at Dallas, No. 85 in the U.S. and No. 597 in the world (down from 596 last year).
  • Texas Tech University, No. 104 in the U.S. and No. 731-740 in the world (unchanged from last year).
  • University of North Texas, No. 123 in the U.S. and No. 901-950 in the world (up from 1,001-1,200 last year)
  • Baylor University, tied for No. 136 in the U.S. and at No. 1,001-1,200 in the world (unchanged from last year).
  • Southern Methodist University, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas Arlington, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas at San Antonio, tied for No. 136 in the U.S. and at 1,001-1,200 in the world (unchanged from last year).
  • University of Texas at El Paso, No. 172 in the U.S. and at 1,201-1,400 in the world (down from 1,001-1,200 last year).
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This article originally appeared on CultureMap.com.

Houston students develop new device to prepare astronauts for outer space

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Rice University students from the George R. Brown School of Engineering and Computing designed a space exercise harness that is comfortable, responsive, and adaptable and has the potential to assist with complex and demanding spacewalks.

A group of students—Emily Yao, Nikhil Ashri, Jose Noriega, Ben Bridges and graduate student Jack Kalicak—mentored by assistant professor of mechanical engineering Vanessa Sanchez, modernized harnesses that astronauts use to perform rigorous exercises. The harnesses are particularly important in preparing astronauts for a reduced-gravity space environment, where human muscles and bones atrophy faster than they do on Earth. However, traditional versions of the harnesses had many limitations that included chafing and bruising.

The new harnesses include sensors for astronauts to customize their workouts by using real-time data and feedback. An additional two sensors measure astronauts’ comfort and exercise performance based on temperature and humidity changes during exercise and load distribution at common pressure points.

“Our student-led team addressed this issue by adding pneumatic padding that offers a customized fit, distributes pressure over a large surface area to reduce discomfort or injuries and also seamlessly adapts to load shifts — all of which together improved astronauts’ performance,” Sanchez said in a news release. “It was very fulfilling to watch these young engineers work together to find innovative and tangible solutions to real-world problems … This innovative adjustable exercise harness transforms how astronauts exercise in space and will significantly improve their health and safety during spaceflights.”

The project was developed in response to a challenge posted by the HumanWorks Lab and Life Science Labs at NASA and NASA Johnson Space Center for the 2025 Technology Collaboration Center’s (TCC) Wearables Workshop and University Challenge, where teams worked to solve problems for industry leaders.

Rice’s adaptive harness won the Best Challenge Response Award. It was funded by the National Science Foundation and Rice’s Office of Undergraduate Research and Inquiry.

“This challenge gave us the freedom to innovate and explore possibilities beyond the current harness technology,” Yao added in the release. “I’m especially proud of how our team worked together to build a working prototype that not only has real-world impact but also provides a foundation that NASA and space companies can build and iterate upon.”

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