10 most promising Texas startups revealed at inaugural Houston summit

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Station Houston CEO Gabriella Rowe and Rice Alliance Managing Partner Brad Burke named 10 startups to watch. Photo by Natalie Harms

Texas is booming with digital startups, and Station Houston and the Rice Alliance for Technology and Entrepreneurship hosted a meeting of the minds to discuss the digital revolution at the inaugural Texas Digital Summit at Rice University on December 6.

Thirty-nine companies presented throughout the day; among the group were 26 from the Houston area. At the conclusion of the day, Gabriella Rowe, CEO of Station Houston, and Brad Burke, managing director of the Rice Alliance, announced 10 "most promising companies" that stood out to a group of investors who attended the event.

All 10 selected were Texas-based, with eight from the Houston area. Here's who the venture capitalists and investors picked for the prize.

Houston-based SafePass

Photo via safepassglobal.com

SafePass pictures a world where visitors on school or corporate campuses can be tracked. The company's technology upends the standard paper or sticker pass you get from the front office, and provides a reusable, trackable device for visitors.

"Our tracking algorithm interacts with already existing WiFi technology — so, the routers that are already at that facility," says Ronald Huff, managing director of SafePass. "We leverage that to get that real-time tracking information."

Houston-based ScribeRule

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ScribeRule operates under the assumption that your company's data has already been breached. The software protects data from both internal and external threats so that companies don't have to worry about any type of threat. The technology is scalable and easy to use.

"The problem is very simple," says Chris Melson, president and COO. "Only allow people who are authorized to see your data, see the data. And that's the problem we've solved."

"It's very difficult to protect data in a collaborative environment."

Houston-based Sensoleak

Photo via sensoleak.com

Sensoleak is making it easier for monitors in the oil and gas industry to be alerted about leaks. Using artificial intelligence, machine learning, and internet of things combined into a software, the company is providing a revolutionary solution for a longstanding problem.

"The problem right now is there is a lot of false alarms," says Shoshi Kaganovsky, founder and CEO, "and if there is a leak, it has to leak a lot before it is caught."

The company recently opened a new round of funding.

Sugar Land-based Commtrex

Photo via commtrex.com

The only open, electronic marketplace for rail shippers and asset providers is right in Houston's backyard of Sugar Land. Commtrex makes communications and connections between these transportation entities more efficient and better executed.

"Commtrex's asset management tools and market data is based on real transactions, and benefits our member companies with engagement efficiencies and financial insights," reads the website.

Houston-based Zenus

Photo via zenus-biometrics.com

Let's face it, face recognition is the future of identification, and Zenus has an award-winning technology to move the needle. Utilizing face recognition doesn't need to compromise privacy.

"We are a leading provider of face recognition software," reads the website. "Our cloud-based service can search a database of faces within a blink of an eye and it can be seamlessly integrated into any application."

Houston-based 3GiG

Photo via 3-gig.com

3GiG is a one-stop shop software company for the "oval office" needs of oil and gas companies. Energy leaders can use the services to manage projects, prospects, and more. President and CEO Kandy Lukats compares her company's services to the trending meal kits — like Blue Apron or Hello Fresh —Americans have been crazy about — all the ingredients sent right to your door.

"We believe we've found the niche between the freezer section and doing it yourself," she says.

Austin-based Towny

Photo via towny.com

This Austin company is making it more appealing to shop local. Towny looks to work in cities with under a million residents. The tool is for small, consumer-focused businesses to market their store to consumers. The small business owners pay a flat monthly rate to utilize digital marketing tools from the convenience of their phones.

Towny is already in five towns with 500 clients, says CEO Nathan Baumeister. In January, the company's monthly revenue was $17,000, but for the last two months, the tool has raked in $90,000 monthly.

"We've built a branding, mobile-first platform, where we've taken all these technologies and tactics and put it together in one package at the affordable price of $199 per month," he says.

Dallas-based CommandHound

Photo via commandhound.com

CommandHound is a B2B software that tracks employee tasks and responsibilities. It reminds users on assigned duties and keeps a record of work outcomes for later performance reviews.

"Our ultimate solution is to turn every organization into a high-performance organization through accountability," says Rene Larrave, chairman and CEO. "It's a checklist on steroids."

Houston-based SecurityGate

Photo via securitygate.io

SecurityGate is disrupting the cyber compliance and the cyber regulation market by providing cyber risk assessments at a faster rate than a human auditor could. The software analyzes data, identifies potential cyber security risks, and communicates with the company how to address the threats.

"No matter what industry vertical you're in, every single supply chain out there is worries about supply chain cyber security," says CEO Ted Gutierrez. "And the problem with that, is everyone is doing it manually."

Houston-based DeepCast.ai

Photo via deepcast.ai

Using artificial intelligence and physics, DeepCast.ai can automate operations for industrial companies.

"We simply integrate with system solutions, try to clean and facilitate the data using AI models important to the oil and gas industry," says Arturo Klie, chief technology officer and senior software engineer. "Once the data is clean, we apply our business-informed AI models to solve and provide forecasting real time and analytics.

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Rice University MBA programs rank among top 5 in prestigious annual report

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Rice University’s Jones Graduate School of Business MBA programs have been ranked among the top five in the country again in The Princeton Review’s 2025 Best Business Schools rankings.

The university's MBA program in finance earned a No. 3 ranking, climbing up two spots from its 2024 ranking. Finance MBA programs at the University of Virginia's Darden Graduate School of Business and New York University's Leonard N. Stern School of Business were the only ones to outrank Rice, claiming No. 2 and No. 1 spots, respectively.

Rice's online MBA program was ranked No. 5, compared to No. 4 last year. Indiana University's Bloomington Kelley School of Business' online program claimed the top spot.

“These rankings reflect the commitment of our faculty and staff, the drive and talent of our students and the strong support of our alumni and partners,” Peter Rodriguez, dean of Rice Business, said in a news release. “They are exceptional honors but also reminders — not just of our top-tier programs and world-class faculty and students but of our broader impact on the future of business education.”

Rice also ranked at No. 6 for “greatest resources for minority students."

The Princeton Review’s 2025 business school rankings are based on data from surveys of administrators at 244 business schools as well as surveys of 22,800 students enrolled in the schools’ MBA programs during the previous three academic years.

"The schools that made our lists for 2025 share four characteristics that inform our criteria for designating them as 'best': excellent academics, robust experiential learning components, outstanding career services, and positive feedback about them from enrolled students we surveyed," Rob Franek, The Princeton Review's editor-in-chief, said in a press release. "No b-school is best overall or best for all students, but to all students considering earning an MBA, we highly recommend these b-schools and salute them for their impressive programs."

Rice's finance program has ranked in the top 10 for eight consecutive years, and its online MBA has ranked in the top five for four years.

Rice and the University of Houston also claimed top marks on the Princeton Review's entrepreneurship rankings. Rice ranks as No. 1 on the Top 50 Entrepreneurship: Grad list, and the University of Houston ranked No. 1 on Top 50 Entrepreneurship: Ugrad. Read more here.

Houston named ‘star’ metro for artificial intelligence in new report

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A new report declares Houston one of the country’s 28 “star” hubs for artificial intelligence.

The Houston metro area appears at No. 16 in the Brookings Institution’s ranking of metros that are AI “stars.” The metro areas earned star status based on data from three AI buckets: talent, innovation and adoption. Only two places, the San Francisco Bay Area and Silicon Valley, made Brookings’ “superstar” list.

According to Brookings, the Houston area had 11,369 job postings in 2024 that sought candidates with AI skills, 210 AI startups (based on Crunchbase data from 2014 to 2024), and 113 venture capital deals for AI startups (based on PitchBook data from 2023 to 2024).

A number of developments are boosting Houston’s AI profile, such as:

Brookings also named Texas’s three other major metros as AI stars:

  • No. 11 Austin
  • No. 13 Dallas-Fort Worth
  • No. 40 San Antonio

Brookings said star metros like Houston “are bridging the gap” between the two superstar regions and the rest of the country. In 2025, the 28 star metros made up 46 percent of the country’s metro-area employment but 54 percent of AI job postings. Across the 28 metros, the number of AI job postings soared 139 percent between 2018 and 2025, according to Brookings.

Around the country, dozens of metros fell into three other categories on Brookings’ AI list: “emerging centers” (14 metros), “focused movers” (29 metros) and “nascent adopters” (79 metros).

Forecasting retail sales just got smarter, thanks to Google searches

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Imagine being able to predict the future of retail sales — not with months-old economic reports, but with real-time digital breadcrumbs left behind by consumers. Thanks to new research from K. Ramesh (Rice Business) and Gary Lind (University of Pittsburgh), that future is already here.

Key findings

  • Search trends predict future retail revenue — up to three quarters ahead.
  • Markets don’t fully price in search-based insights, especially before earnings announcements.
  • Trading strategies using search data outperform traditional asset-pricing models by 2–3%.
  • Analysts often underuse this data, resulting in predictable forecast errors.
  • At the macro level, search trends closely track — and often lead — official retail sales and GDP.

Their study shows that Google search trends are powerful predictors of consumer demand, capable of forecasting U.S. retail sales up to three quarters in advance. The implications span industries and audiences — from Wall Street traders to Main Street retailers, and from data-driven CFOs to curious business students.

A smarter, faster crystal ball for retail demand

Retail sales drive nearly 70% of U.S. gross domestic product (GDP), making them one of the most important indicators of economic health. Yet traditional forecasting relies heavily on backward-looking data and broad economic indicators. Ramesh and Lind’s work offers a leap forward: search data from Google Trends — publicly available and easy to use — can offer a faster, more precise signal of where sales are headed.

“If you want to understand consumer demand,” says Ramesh, the Herbert S. Autrey Professor of Accounting at Rice Business, “look at what people are searching for — not just what companies report after the fact. These digital footprints can tell us where revenue is going, often before the market catches up.”

This low-cost approach stands in stark contrast to expensive alternatives, such as satellite images of parking lots, in-store foot traffic from mobile data, or retail scanner feeds — tools often reserved for hedge funds and large institutional investors. Google Trends offers a scalable, accessible option for anyone seeking insight into consumer behavior.

Why this matters for investors and analysts

The researchers analyzed search patterns for nearly 200 publicly traded U.S. retail companies between 2004 and 2019. They found that firms with rising search volumes tend to report higher revenues — often well before analysts or investors react.

In fact, investment strategies built around these trends earned 2–3% higher returns than traditional models would predict. And most of these gains were concentrated around earnings announcements — a sign that markets were slow to recognize what search data had already revealed.

The advantage is even more striking for companies that fly under Wall Street’s radar. For firms with limited analyst coverage, the predictive power of search data on stock performance was more than 80% stronger.

A new tool for analysts — if they’ll use it

Despite the clear signal in the data, the study finds that analysts routinely fail to incorporate search-based insights into their forecasts. That gap translates into missed revenue predictions and market inefficiencies — which sophisticated investors can exploit.

“The search data are out there,” says Lind, a Rice Business Ph.D. ’19 graduate now on faculty at Pitt Business. “They’re public, powerful, and free. Analysts who ignore them are missing an opportunity.”

The impact of this research extends well beyond equity markets. By aggregating Google search data across the retail sector, the authors found strong alignment with U.S. Census retail sales figures and GDP trends. In other words, these digital signals reflect not just firm-level interest, but macroeconomic momentum.

A data wake-up call

This makes search trends a potentially valuable early-warning system for policymakers, central banks, and anyone responsible for interpreting the economic landscape. During volatile or uncertain periods, such tools could offer precious foresight into shifting consumer behavior.

In a digital era where consumers research before they shop — whether online or in-store — it’s no surprise that their Google queries leave valuable clues. What’s surprising is how often businesses, investors, and even economists still overlook them, Ramesh says. “Search data is a goldmine. And it's just sitting there, waiting to be used.”

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This article originally appeared on Rice Business Wisdom.

Lind and Ramesh, “Using Internet Search Data to Predict Aggregate Retail Sales and Enhance Firm-Level Revenue Expectations,” Contemporary Accounting Research (April 2025): 1-32. https://doi.org/10.1111/1911-3846.13043.

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