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

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

This Houston startup has a game-changing technology for deep learning. Photo via Getty Images

Houston artificial intelligence startup raises $6M in seed funding

money moves

A computer science professor at Rice University has raised seed funding last month in order to grow his company that's focused on democratizing artificial intelligence tools.

ThirdAI, founded by Anshumali Shrivastava in April, raised $6 million in a seed funding round from three California-based VCs — Neotribe Ventures and Cervin Ventures, which co-led the round with support from Firebolt Ventures.

Shrivastava, CEO, co-founded the company with Tharun Medini, a recent Ph.D. who graduated under Shrivastava from Rice's Department of Electrical and Computer Engineering. Medini serves as the CTO of ThirdAI — pronounced "third eye." The startup is building the next generation of scalable and sustainable AI tools and deep learning systems.

"We are democratizing artificial intelligence through software innovations," says Shrivastava in a news release from Rice. "Our innovation would not only benefit current AI training by shifting to lower-cost CPUs, but it should also allow the 'unlocking' of AI training workloads on GPUs that were not previously feasible."

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.

"ThirdAI has developed a breakthrough approach to train deep learning models with a large number of parameters that run efficiently on general purpose CPUs. This technology has the potential to result in a gigantic leap forward in the accuracy of deep learning models," per and announcement from Cervin Ventures. "Our investment in ThirdAI was a no-brainer and we are fortunate to have had the opportunity to invest."

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

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Texas still ranks as No. 1 in U.S. for inbound moves, but growth dips

by the numbers

Texas continues to be the country’s No. 1 magnet for newcomers from other states, giving a boost to the state’s economy. However, Texas’ appeal weakened in 2024 compared with the previous year, due in large part to spiking home prices.

An analysis of U.S. Census Bureau data by self-storage platform StorageCafe shows Texas saw net interstate migration of 76,000 people in 2024. Texas’ net interstate migration dropped nearly 50 percent from 2023, according to the analysis. Net migration refers to the number of incoming residents minus the number of outgoing residents.

California remained the top source of newcomers for Texas, sending nearly 77,000 residents to the Lone Star State in 2024, the analysis says. Florida ranked second, followed by New York, Colorado and Illinois.

“These trends reveal Texas’ continued pull from both high-cost coastal markets and other large Sun Belt states, resulting in a mix of affordability-driven and job-driven relocation,” StorageCafe says.

Putting a damper on the influx of new residents: a roughly 124 percent surge in Texas home prices over the past decade, according to StorageCafe.

“While the state remains significantly more affordable than California, its top feeder state, the once-wide pricing gap has narrowed,” says StorageCafe. “For many movers, Texas is still a relative bargain, but no longer an undisputed one.”

Nonetheless, Texas keeps attracting young, highly educated people, which bodes well for the state’s long-term economic outlook, StorageCafe says. More than half of new arrivals to Texas in 2024 held at least a bachelor’s degree, and the age of newcomers averaged 32.

Where are most of these young, highly educated newcomers settling?

Lloyd Potter, former Texas state demographer, tells StorageCafe that population growth in Texas is happening most rapidly in suburban “ring counties” at the expense of slowing growth in urban cores. Ring counties are on the outskirts of major metro areas.

“Many people are moving from urban cores to suburban rings seeking lower costs, newer housing, better schools, and more space,” Potter says. “Typically, a move to a suburban county will be within commuting or hybrid‑commuting distance of major metro economies.”

Artemis II makes historic call to space station with help from Houston Mission Control

History in the making

Still aglow from their triumphant lunar flyby, the Artemis II astronauts made more history Tuesday, April 7: calling their friends aboard the International Space Station hundreds of thousands of miles away as they headed home from the moon.

It was the first moonship-to-spaceship radio linkup ever. NASA's Apollo crews had no off-the-planet company back in the 1960s and 1970s, the last time humanity set sail for deep space.

"We have been waiting for this like you can’t imagine,” Artemis II commander Reid Wiseman called out.

For Christina Koch on Artemis II and Jessica Meir aboard the space station, it marked a joyous space reunion despite being 230,000 miles (370,000 kilometers) apart. The two teamed up for the world's first all-female spacewalk in 2019 outside the orbiting lab.

Koch told her “astro-sister” that she'd hoped to meet up with her again in space “but I never thought it would be like this — it's amazing.”

“I'm so happy that we are back in space together,” Meir replied, “even if we are a few miles apart.”

Houston's Mission Control arranged the cosmic chitchat between the four lunar travelers and the space station's three NASA and one French residents.

Koch described being awe-struck by not just the beauty of Earth, “but how much blackness there was around it.”

“It just made it even more special. It truly emphasized how alike we are, how the same thing keeps every single person on planet Earth alive,” she told the space station crew. “The specialness and preciousness of that really is emphasized” when viewing the home planet from the moon.

By late Tuesday afternoon, the Artemis II astronauts had beamed back more than 50 gigabytes' worth of pictures and other data from the previous day's lunar rendezvous, which set a new distance record for humanity. The highlight: an Earthset photo reminiscent of Apollo 8's Earthrise shot from 1968.

"While they are inspirational and, I think, allow all of us to really feel a little bit of what they were feeling, there's also a lot of science hidden inside of those images," said Mission Control's lead lunar scientist Kelsey Young. “The conversations and the science lessons learned are just beginning."

During a debriefing with Young, the astronauts recounted how they spotted a cascade of pinpricks of light on the lunar surface from impacting cosmic debris. The flashes lasted mere milliseconds and coincided by chance with Monday evening's total solar eclipse.

Young said it was too soon to know whether the crew witnessed an actual meteor shower or more random, run-of-the-mill micrometeoroid hits. Either way, there were “audible screams of delight” in the science operations center, she said.

Koch described being awe-struck by not just the beauty of Earth, “but how much blackness there was around it.”

“It just made it even more special. It truly emphasized how alike we are, how the same thing keeps every single person on planet Earth alive,” she told the space station crew. “The specialness and preciousness of that really is emphasized” when viewing the home planet from the moon.

The first lunar explorers since Apollo 17 in 1972, Wiseman and his crew are aiming for a splashdown off the San Diego coast on Friday to wrap up the nearly 10-day test flight. The recovery ship USS John P. Murtha left port Tuesday for the target zone.

It sets the stage for next year's Artemis III, a lunar lander docking demo in orbit around Earth. Artemis IV will follow in 2028 with two astronauts attempting to land near the lunar south pole.

As for the Orion capsule’s pesky potty, Mission Control assured the astronauts that no maintenance was required Tuesday. The toilet has been on-and-off limits to the crew ever since last week’s launch, prompting them to rely on a backup bag-and-funnel system for urinating.

NASA Administrator Jared Isaacman told the crew following the lunar flyby Monday night: “We definitely have to fix some of the plumbing” ahead of the next Artemis mission. Engineers suspect a clogged filter in the overboard flushing system.

Aside from the toilet and other relatively minor matters, the mission has gone well, Isaacman noted at a news conference Tuesday, “but I'll breathe easier when we get through reentry and everybody's under chutes and in the water.”

AI-powered Houston startup helps restaurants boost customer loyalty

order up

It’s no secret that restaurant trends move fast and margins run thin. And with the proliferation of platforms like Uber Eats, DoorDash and Easy Cater, customer loyalty is fleeting.

The solution?

How about an AI-powered restaurant technology platform that helps restaurant brands cut back on third-party platforms in favor of driving direct discovery, conversion and loyalty?

Enter Saivory. Founded in 2025 by Stephen Klein, a software investor, and Fajita Pete’s restaurateur Hugh Guill, the Houston-based startup aims to help eateries better understand and activate guest behavior across digital channels as AI increasingly reshapes how consumers discover and engage with brands.

In less than a year, Saivory has partnered with Shipley Do-Nuts and Fajita Pete’s to bring AI-powered ordering to life.

“With Saivory, we were able to answer the question of, ‘what if the ordering process could be reduced to a single step, where customers simply tell us what they want and AI takes care of the rest?’” Klein tells InnovationMap.

The Houston-based startup made such an immediate impact that it was selected as a semi-finalist during Start-Up Alley at MURTEC, the restaurant industry’s leading technology conference, which took place last month in Las Vegas.

“Houston is a great hub for technology innovation, and we were proud to represent the city at MURTEC this year,” says Klein. “We didn’t win, but we were able to talk about some of the work that we have existing in the market for clients right now and a little bit about what we’re working on in the future.”

In the current restaurant technology ecosystem, the third-party aggregators own the customer attention that brings volume to restaurants, while also taking big commissions and having control over the end relationships with the customer.

That can often make it difficult for restaurants to grow loyalty and repeat business from customers. Saivory aims to level the playing field for restaurants, helping them stay more connected to their customers.

Take Saivory’s recent application with Shipley’s Do-Nuts, for example.

Saivory powered the donut giant’s AI-ordering and launched Shipley's website and mobile app to support its over 300 locations in Texas alone.

Shipley’s new AI-powered assistant helps users create personalized order recommendations based on individual or group preferences. And unlike standard chatbox features, the new assistant makes custom recommendations based on multiple customer factors, including budgetary habits, individual flavor preferences and order size. It can also be used for large catering orders.

“They're seeing more traffic to the site and they're seeing when customers use our AI-enabled flows,” Klein says. “And they're seeing higher basket sizes, bigger tickets, by about 25 percent.”

Klein says Saivory’s technology helps strengthen first-party digital relationships, reduce friction and cart abandonment, improve average order value, and delivers personalized, efficient experiences.

“It’s a win-win: the customer gets the right order quickly, while the restaurant gets a bigger margin,” he adds.

Additionally, the technology makes it easier for restaurants to share rewards, loyalty and discounts, ultimately growing more direct traffic and making restaurants less reliant on third-party delivery apps.

Next up for Saivory is adding new components to its platform to enhance the relationship between restaurant and customer, as well as technology around making it easier for restaurants to get found on Google.

“A lot of people are still searching for the best donuts near me,” Klein says. “Or what’s the best Mexican food near me? Customers will increasingly move to AI, where they’re going to ask where they should eat dinner and expect it to just order them dinner. They will eventually expect the technology to know how to do that. So that’s what we’re driving at.”