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.

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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.

The trial, known as ADO2, will utilize OmniScience's recently developed product, Vivo, which uses generative AI to centralize and analyze clinical trial data in real time. Photo omniscience.bio

Houston AI data firm partners on Alzheimer’s clinical trial

now testing

Houston data science firm OmniScience announced this month that it has partnered with Florida-based INmune Bio (NASDAQ: INMB) on a global Phase 2 Alzheimer’s disease clinical trial.

The trial, known as ADO2, will utilize OmniScience's recently developed product, Vivo, which uses generative AI to centralize and analyze clinical trial data in real time, according to a release. The two companies also partnered during Vivo’s development and recent roll-out.

"OmniScience and INmune Bio share a vision to transform how clinical trial teams engage with data – transforming data into knowledge in real time and informing decisions that increase the probability of success,” Angela Holmes, CEO of OmniScience, says in a statement. “As our partnership moves forward, we’re gaining further insights from the INmune team that we can integrate into Vivo’s roadmap. We look forward to our continued mutual success.”

The ADO2 trial will investigate INmune Bio's clinical-stage biotechnology XPro in patients with mild cognitive impairment or Alzheimer’s disease with brain inflammation, according to its website. Its products are focused on "restoring function in the body's innate immune system to fight disease."

The trial is overenrolled with 208 patients diagnosed with mild Alzheimer’s disease or mild cognitive impairment. The top-line results are expected to be released in Q2 2025.

"A global trial of this size is vast, and Vivo will be critical in our ability to analyze cognitive results,” Tara Lehner, INmune Bio’s vice president of clinical operations, says in the statement. “With genAI provided by Vivo, we can amplify our clinical teams’ capabilities, turning complex data into actionable insights at unprecedented speed, which means we can get answers—and treatments—to patients faster.”

INmune will be able to use OmniScience's Vivo product to unify data from electronic data capture, clinical trial management systems, patient-reported outcomes, clinical outcome assessments, labs, wearables, safety databases and more, according to the statement. The product has been shown to improve data quality and visualizations and reduce the reliance on spreadsheet-based data analysis during clinical trials.

Omniscience was originally founded in 2017, then known as Mercury Data Science. It rebranded and changed its name earlier this year. Holmes was named CEO in 2022.

Omniscience's Vivo product recently won first place in the CNS Summit 2024 Innovation Showcase in Boston and the Blue Whale Ribbon at the inaugural Whale Tank pitch competition during the 2024 Innovation Network Gathering (ING) in West Chester, Pennsylvania.

MD Anderson’s goal with the new Institute for Data Science in Oncology is to advance collaborative projects that will bring the power of data science to every decision made at the hospital. Photo via mdanderson.org

Houston organization introduces inaugural cancer-fighting cohort of data sciences, experts

new to hou

The University of Texas MD Anderson Cancer Center is one step closer to ending cancer thanks to its new institute that's focused on data science.

MD Anderson’s goal with the new Institute for Data Science in Oncology (IDSO) is to advance collaborative projects that will bring the power of data science to every decision made at the hospital. And now, the IDSO has announced its inaugural cohort of 33 scientists, clinicians, and staff that will bring it to life, joining the already appointed leadership and focus area co-leads.

“By engaging diverse expertise across all of our mission areas, we will enhance the rich and productive data science ecosystem at MD Anderson to deliver transformational impact for patients,” David Jaffray, Ph.D., director of IDSO and chief technology and digital officer at MD Anderson, says in a press release.

The focus areas for the IDSO are quantitative pathology and medical imaging; single-cell analytics; computational modeling for precision medicine; decision analytics for health; and safety, quality, and access.

The IDSO Affiliates, as they are known, are a mix of existing contributors to the IDSO and team members who were recruited specifically for their expertise in data science. The affiliates were chosen to fulfill a two-year term, during which they will focus on IDSO projects related to the focus areas above. The diverse roster of professionals includes:

“Our affiliates bring expertise, perspectives and commitment from across the institution to foster impactful data science in order to tackle the most urgent needs of our patients and their families,” said Caroline Chung, M.D., director of Data Science Development and Implementation for IDSO and chief data officer at MD Anderson. “People and community are at the heart of our efforts, and establishing the IDSO Affiliates is an exciting step in growing the most impactful ecosystem for data science in the world.”

Aziz Gilani, managing director at Mercury, joins the Houston Innovators Podcast. Photo via LinkedIn

Houston investor on SaaS investing and cracking product-market fit

Houston innovators podcast episode 230

Aziz Gilani's career in tech dates back to when he'd ride his bike from Clear Lake High School to a local tech organization that was digitizing manuals from mission control. After years working on every side of the equation of software technology, he's in the driver's seat at a local venture capital firm deploying funding into innovative software businesses.

As managing director at Mercury, the firm he's been at since 2008, Gilani looks for promising startups within the software-as-a-service space — everything from cloud computing and data science and beyond.

"Once a year at Mercury, we sit down with our partners and talk about the next investment cycle and the focuses we have for what makes companies stand out," Gilani says on the Houston Innovators Podcast. "The current software investment cycle is very focused on companies that have truly achieved product-market fit and are showing large customer adoption."



An example of this type of company is Houston-based RepeatMD, which raised a $50 million series A round last November. Mercury's Fund V, which closed at an oversubscribed $160 million, contributed to RepeatMD's round.

"While looking at that investment, it really made me re-calibrate a lot of my thoughts in terms what product-market fit meant," Gilani says. "At RepeatMD, we had customers that were so eager for the service that they were literally buying into products while we were still making them."

Gilani says he's focused on finding more of these high-growth companies to add to Mercury's portfolio amidst what, admittedly, has been a tough time for venture capital. But 2024 has been looking better for those fundraising.

"We've some potential for improvement," Gilani says. "But overall, the environment is constrained, interest rates haven't budged, and we've seen some potential for IPO activity."

Gilani shares more insight into his investment thesis, what areas of tech he's been focused on recently, and how Houston has developed as an ecosystem on the podcast.

Blue People has named Luis Arregoces as the company’s first chief artificial intelligence officer. Photo courtesy of Blue People

Houston software shop bets on AI with new C-suite member

eyes on AI

A Houston-based software company has named its first chief artificial intelligence officer.

Blue People has named Luis Arregoces as the company’s CAIO. With 20 years of experience, Arregoces has led AI projects for global Fortune 100 companies in various industries.

He has a Ph.D. in Economics from the University of New Mexico and is an adjunct professor in Statistics and Data Science at the University of Houston. He previously led the Applied Intelligence and Data Science at Accenture's Innovation Hub.

“We are beyond excited to have Luis on board,” Alfredo Arvide, chief innovation officer of Blue People, says in a news release. “His leadership and vision will allow Blue People to help clients and C-level executives develop AI roadmaps and solutions for real-time analytics, secure data sharing, and technology-agnostic ecosystems that will shape the future of innovation across all industries in Houston and throughout the region.”

Blue People has offices in Houston, Austin, Texas, and Monterrey, México. Blue People was named People’s Choice: Startup of the Year at the 2023 Houston Innovation Awards. The company also recently participated in CodeLaunch Houston, where its startup partner won the judges' pick in the competition.

“I am honored to join Blue People and be a part of this historic moment,” Arregoces says in a news release. ”Together, we have the opportunity to shape the future of AI in Houston and beyond. AI’s versatility and transformative potential make it indispensable across all industries to drive innovations, efficiency, and competitiveness.”

A Rice University student decided to use his data science skills for good. Photo courtesy of Biokind Analytics

Houston student launches data science nonprofit to support the health care industry

analytics for good

For Alex Han, it all started with peanut butter.

Han was a high school student in Korea when he learned that the spread is a pure odorant that could be used to test smell in each hemisphere of the brain—issues on the left side was thought to be a predictor for Alzheimer’s disease. He later learned that the method wasn’t as airtight as previously thought, but Han was hooked. Alzheimer’s research became the teenager’s passion. While still in high school, Han began volunteering for Alzheimer’s Los Angeles, translating their brochures into Korean.

When it came time to choose a college, Han says Rice University appealed to him for many reasons.

“I loved the atmosphere. I loved the campus—it’s so beautiful. The diverse food, the people, I even liked the highway,” he says of Houston. “In Korea, everything is so close and compact. I loved the whole scenario of the city.”

A scholarship was also part of the appeal, as well as the pull of the world’s largest medical center. Han’s instincts were correct. Now, a junior at Rice, he has been working at renowned geneticist Huda Zoghbi’s Baylor College of Medicine lab for almost two years.

But dividing his obligations between full-time studies and his wet lab position wasn’t enough to keep Han’s active mind occupied. Last May, the statistics and biochemistry student began another endeavor that uses both his specialties. It was then that he founded Biokind Analytics. The nonprofit was designed to explore how data science can support health care nonprofits.

Han reached out to Alzheimer’s Los Angeles to offer his data analysis services on a volunteer basis and was shocked that the association had never considered it before.

“I was really surprised—even small stores and restaurants use statistics to boost their profits. [Alzheimer’s Los Angeles] receive a couple million dollars every year in donations. They have data stores but hadn’t really capitalized yet in the area of analytics.”

Han, along with a small team of Rice students, including vice president Zac Andrews and development director Masha Zaitsev, made Alzheimer’s Los Angeles a pet project, analyzing geospatial trends in its donorship and interpreting the past year’s donation trends. “We wanted to see if the demand was the same in Houston. We found that this pattern was consistent. A lot of nonprofits are willing to have us analyze the data sets they’ve already been tracking and provide data analysis for healthcare nonprofits.”

Less than a year after Han established Biokind Analytics, the 501(c)(3) already has seven chapters on college campuses around the country. From UC Davis and San Diego in the West to Brown University and the University of Virginia on the East Coast, the data science students have helped a diverse range of medical nonprofits, mostly based in the Houston area. They run the gamut from ALS Association of Texas to Nora’s Home, which serves organ failure and transplant patients.

Biokind Analytics has now completed seven projects and analyzed $100 million in funds. Each student group includes four to six members, mostly majors in the worlds of statistics, data science, and biochemistry, all working with the help of faculty advisors. At a total of about 35 students nationwide, Han says that he’s dedicated to growing at a steady pace to avoid potentially expanding too fast, too soon.

Another question for the future is what will happen to Biokind Analytics when Han completes his undergraduate studies in 2024. He plans to continue his medical studies with the goal of one day becoming a physician specializing in Alzheimer’s who uses data analytics to aid in patient care. But no matter how active Han continues to be in the nonprofit he started, his stated attachment to the cause and a growing group of both student leaders and healthcare associations eager for their services are sure to keep Biokind Analytics active long after graduation.

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Houston startup debuts new drone for first responders

taking flight

Houston-based Paladin Drones has debuted Knighthawk 2.0, its new autonomous, first-responder drone.

The drone aims to strengthen emergency response and protect first responders, the company said in a news release.

“We’re excited to launch Knighthawk 2.0 to help build safer cities and give any city across the world less than a 70-second response time for any emergency,” said Divyaditya Shrivastava, CEO of Paladin.

The Knighthawk 2.0 is built on Paladin’s Drone as a First Responder (DFR) technology. It is equipped with an advanced thermal camera with long-range 5G/LTE connectivity that provides first responders with live, critical aerial awareness before crews reach the ground. The new drone is National Defense Authorization Act-compliant and integrates with Paladin's existing products, Watchtower and Paladin EXT.

Knighthawk 2.0 can log more than 40 minutes of flight time and is faster than its previous model, reaching a reported cruising speed of more than 70 kilometers per hour. It also features more advanced sensors, precision GPS and obstacle avoidance technology, which allows it to operate in a variety of terrains and emergency conditions.

Paladin also announced a partnership with Portuguese drone manufacturer Beyond Vision to integrate its Drone as a First Responder (DFR) technology with Beyond Vision’s NATO-compliant, fully autonomous unmanned aerial systems. Paladin has begun to deploy the Knighthawk 2.0 internationally, including in India and Portugal.

The company raised a $5.2 million seed round in 2024 and another round for an undisclosed amount earlier this year. In 2019, Houston’s Memorial Villages Police Department piloted Paladin’s technology.

According to the company, Paladin wants autonomous drones responding to every 911 call in the U.S. by 2027.

Rice research explores how shopping data could reshape credit scores

houston voices

More than a billion people worldwide can’t access credit cards or loans because they lack a traditional credit score. Without a formal borrowing history, banks often view them as unreliable and risky. To reach these borrowers, lenders have begun experimenting with alternative signals of financial reliability, such as consistent utility or mobile phone payments.

New research from Rice Business builds on that approach. Previous work by assistant professor of marketing Jung Youn Lee showed that everyday data like grocery store receipts can help expand access to credit and support upward mobility. Her latest study extends this insight, using broader consumer spending patterns to explore how alternative credit scores could be created for people with no credit history.

Forthcoming in the Journal of Marketing Research, the study finds that when lenders use data from daily purchases — at grocery, pharmacy, and home improvement stores — credit card approval rates rise. The findings give lenders a powerful new tool to connect the unbanked to credit, laying the foundation for long-term financial security and stronger local economies.

Turning Shopping Habits into Credit Data

To test the impact of retail transaction data on credit card approval rates, the researchers partnered with a Peruvian company that owns both retail businesses and a credit card issuer. In Peru, only 22% of people report borrowing money from a formal financial institution or using a mobile money account.

The team combined three sets of data: credit card applications from the company, loyalty card transactions, and individuals’ credit histories from Peru’s financial regulatory authority. The company’s point-of-sale data included the types of items purchased, how customers paid, and whether they bought sale items.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says.

The final sample included 46,039 credit card applicants who had received a single credit decision, had no delinquent loans, and made at least one purchase between January 2021 and May 2022. Of these, 62% had a credit history and 38% did not.

Using this data, the researchers built an algorithm that generated credit scores based on retail purchases and predicted repayment behavior in the six months following the application. They then simulated credit card approval decisions.

Retail Scores Boost Approvals, Reduce Defaults

The researchers found that using retail purchase data to build credit scores for people without traditional credit histories significantly increased their chances of approval. Certain shopping behaviors — such as seeking out sale items — were linked to greater reliability as borrowers.

For lenders using a fixed credit score threshold, approval rates rose from 15.5% to 47.8%. Lenders basing decisions on a target loan default rate also saw approvals rise, from 15.6% to 31.3%.

“The key takeaway is that we can create a new kind of credit score for people who lack traditional credit histories, using their retail shopping behavior to expand access to credit,” Lee says. “This approach benefits unbanked applicants regardless of a lender’s specific goals — though the size of the benefit may vary.”

Applicants without credit histories who were approved using the retail-based credit score were also more likely to repay their loans, indicating genuine creditworthiness. Among first-time borrowers, the default rate dropped from 4.74% to 3.31% when lenders incorporated retail data into their decisions and kept approval rates constant.

For applicants with existing credit histories, the opposite was true: approval rates fell slightly, from 87.5% to 84.5%, as the new model more effectively screened out high-risk applicants.

Expanding Access, Managing Risk

The study offers clear takeaways for banks and credit card companies. Lenders who want to approve more applications without taking on too much risk can use parts of the researchers’ model to design their own credit scoring tools based on customers’ shopping habits.

Still, Lee says, the process must be transparent. Consumers should know how their spending data might be used and decide for themselves whether the potential benefits outweigh privacy concerns. That means lenders must clearly communicate how data is collected, stored, and protected—and ensure customers can opt in with informed consent.

Banks should also keep a close eye on first-time borrowers to make sure they’re using credit responsibly. “Proactive customer management is crucial,” Lee says. That might mean starting people off with lower credit limits and raising them gradually as they demonstrate good repayment behavior.

This approach can also discourage people from trying to “game the system” by changing their spending patterns temporarily to boost their retail-based credit score. Lenders can design their models to detect that kind of behavior, too.

The Future of Credit

One risk of using retail data is that lenders might unintentionally reject applicants who would have qualified under traditional criteria — say, because of one unusual purchase. Lee says banks can fine-tune their models to minimize those errors.

She also notes that the same approach could eventually be used for other types of loans, such as mortgages or auto loans. Combined with her earlier research showing that grocery purchase data can predict defaults, the findings strengthen the case that shopping behavior can reliably signal creditworthiness.

“If you tend to buy sale items, you’re more likely to be a good borrower. Or if you often buy healthy food, you’re probably more creditworthy,” Lee explains. “This idea can be applied broadly, but models should still be customized for different situations.”

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This article originally appeared on Rice Business Wisdom. Written by Deborah Lynn Blumberg

Anderson, Lee, and Yang (2025). “Who Benefits from Alternative Data for Credit Scoring? Evidence from Peru,” Journal of Marketing Research.

XSpace adds 3 Houston partners to fuel national expansion

growth mode

Texas-based XSpace Group has brought onboard three partners from the Houston area to ramp up the company’s national expansion.

The new partners of XSpace, which sells high-end multi-use commercial condos, are KDW, Pyek Financial and Welcome Wilson Jr. Houston-based KDW is a design-build real estate developer, Katy-based Pyek offers fractional CFO services and Wilson is president and CEO of Welcome Group, a Houston real estate development firm.

“KDW has been shaping the commercial [real estate] landscape in Texas for years, and Pyek Financial brings deep expertise in scaling businesses and creating long‑term value,” says Byron Smith, founder of XSpace. “Their commitment to XSpace is a powerful endorsement of our model and momentum. With their resources, we’re accelerating our growth and building the foundation for nationwide expansion.”

The expansion effort will target high-growth markets, potentially including Nashville, Tennessee; Orlando, Florida; and Charlotte and Raleigh, North Carolina.

XSpace launched in Austin with a $20 million, 90,000-square-foot project featuring 106 condos. The company later added locations on Old Katy Road in Houston and at The Woodlands Town Center. A third Houston-area location is coming to the Design District.

XSpace condos range in size from 300 to 3,000 square feet. They can accommodate a variety of uses, such as a luxury-car storage space, a satellite office, or a podcasting studio.

“XSpace has tapped into a fundamental shift in how entrepreneurs and professionals want to use space,” Wilson says. “Houston is one of the best places in the country to innovate and build, and XSpace’s model is perfectly aligned with the needs of this fast‑growing, opportunity‑driven market.”

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