A legacy of industrial technology excellence: UTSI International turns 40

Cheers to 40 Years

Photo by Adi Goldstein on Unsplash

As UTSI International celebrates its 40th anniversary, president and CEO Shaun Six reflects on the company's history, achievements, and exciting future.

---

In March 1985, Dan Nagala and a few friends took a risk, leaving their full-time jobs to pursue their passion and start their own company.

They founded UTSI International amidst groundbreaking advancements in Industrial Control Systems and SCADA technology, revolutionizing remote operations for critical infrastructure. From the start, UTSI has been at the forefront of OT innovation and integration — a legacy we proudly carry forward today.

The legacy of Dan Nagala

Dan Nagala’s 50-plus-year career is too vast to cover every accomplishment, but if you’ve ever heard the phrase “Houston, we have a problem” in a movie, those screens in the control room and the logic causing the “blinky lights” to alert the operators, you’ve seen some of his work. Dan and his team ultimately paved the way for field communications to detect and communicate leaks on pipelines and give operators in remote locations situational awareness, expanding their ability to safely monitor and control their operations.

This capability was requested early on in the first pipeline control rooms, leading to UTSI’s first check-in 1985 (which I proudly have framed on my bookshelf). The protocols to communicate and do advanced calculations — which many would be tempted to call AI today — for the purpose of monitoring and control, was created from this group of enthusiasts who open sourced it and allowed it to proliferate, leading to over 80 percent of all critical infrastructure in the world now utilizing a variant thereof.

Given the novelty of the technology and the experience of UTSI, having implemented control systems and automation for pipelines in over 22 countries, Dan was asked to collaborate with industry experts, creating the first API leak detection and control room management standards for the American Petroleum Institute. These would later become regulation under PHMSA, DoT, and TSA, placing UTSI as the go-to experts in compliance in addition to their traditional expertise.

UTSI has delivered for the world’s largest infrastructure owners in multiple critical infrastructure sectors, like mining, water/wastewater, oil and gas, green energy, transportation authorities, etc. We have also done AI and cybersecurity, in addition to SCADA and ICS work for the DoD and DoE.

Strength in partners

I joined UTSI in 2022 as vice president, working under Dan, with the goal of gradually stepping into leadership. In 2023, I became CEO, president, and majority shareholder. While no one can truly fill Dan’s shoes alone, we’ve focused on strengthening our team, partnerships, and capabilities to continue UTSI’s legacy of excellence.

One of our first strategic partnerships was with Tory Tech, a leading API-compliant Control Room Management tool. UTSI has worked as integrators with Tory Tech for years and Dan worked as a CRM compliance advisor for them in the U.S. while they were setting up their headquarters in Houston. In 2024 we made it an official partnership, becoming a preferred integrator and focusing our team on training and development in the MaCRoM (Master Control Room Management) tool.

We've also made significant investments in our OT cybersecurity capabilities, expanding our team and partnering with industry leaders like Dennis Parker, Derrik Oates, Nozomi Networks, Fortinet, and Schneider Electric. These strategic moves ensure we deliver top-tier expertise, products, and solutions to better serve our customers.

Our partnership with ThreatGEN and the utilization of their AI-driven “AutoTableTop” tool not only utilizes our experience with TSA guidelines, but adds an element of reality that the traditional methods are lacking, making these engagements more interactive and beneficial for operators who are required to participate annually.

In 2024, UTSI also invested heavily in AI and Data Science by acquiring Houston-based AI company Pandata Tech and leveraging their Data-Quality-Methodology (DQM), Leak Geek, and time-series data science expertise to solve industry specific problems.

Moving up – in and around Houston

Building on our recent successes, we strategically relocated our office to the Netrality building (1301 Fannin St.), bringing us closer to clients and partners, while getting access to a Tier 3 Data Center with an uninterrupted 40-year power record.

Netrality is a SOC2-compliant facility with seven points of detection from the street to our server, including biometric screening. Our very own Roberto deLeon has architected our upgraded servers using the Purdue model as a basis of design while leveraging our relationship with Fortinet to standardize our hardware and software to the highest standards. We practice what we preach — every architecture, framework, and hardware recommendation we make is not just advised but actively implemented within our own operations.

Our investment in this space includes increasing our “SCADA R&D Lab” to play with toys from vendors, testing them out in our environment before we recommend and advise them to our clients and partners. Currently we’re working on LLMs for OT, building our own “DANN2.0” for use in-house. DANN is an homage to Dan Nagala (and, for the nerds, stands for Dan Artificial Neural Network), which we started in 2022 when I realized that knowledge capture is an industry wide epidemic and we need to be ready to integrate for our clients in a safe and local way at scale, in the OT environment.

Additionally, having come from a startup before joining UTSI, I wanted to get us closer to the heart of innovation, so we’ve added additional office space at The Cannon downtown. While there are many tech hubs around Houston, and we are proud to work with and partner with companies from Greentown Labs and the Ion, to name a few, we’ve found that The Cannon community is incredibly active and innovative, with experience in industrial use-cases.

Houston is set to become the Energy Transition capital, leading in hydrogen, carbon capture, and repurposing. With a 5:1 ratio of engineers leaving the industry and an average age over 60, we must innovate. The solution lies in combining a secure, cloud-free "ChatGPT for OT" with digital twins. Bringing the field to engineers is essential. We've partnered with a satellite constellation for asset imaging and U.K.-based Mods Solutions to leverage their CFIHOS-driven platform for intelligent digital twins — more on that partnership soon!

And we will need to leverage enhanced automation tools and actively monitor control networks to ensure security and respond quickly to issues, which is why we’ve partnered with Nozomi Networks.

Shaping the future

Although Dan has semi-retired to his cabin in Montana, he continues to do “the fun stuff” that brings him joy, such as conducting research for PRCI and assisting long-time clients. He also has been a mentor and advisor to me since I started at UTSI three years ago. I’m grateful for him and the group of industry experts he gathered around him to make UTSI such a well-known systems integrator and OT advisor for the world’s largest asset owners.

Our group of experts are active in the industry and will be speaking at events throughout the year, with a presence at Entellec, Level Zero, and participating at this year's API Cybernetics and PSIGs biannual conferences. We proudly serve on the BCarbon advisory board and GHPs Energy Committee.

Lastly, we have one request: We see a critical need for H2 and supercritical CO2 studies to develop simulation models, response plans, and leak detection best practices. These gases differ from those covered in existing standards. If you know anyone interested in funding or contributing, we’re collaborating with industry partners to secure support.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

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

top of class

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

eyes on AI

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

houston voices

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.”

---

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.

View All Listings