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.

Photo by Jasmin Merdan/Getty

Mastering control room management for smoother critical infrastructure operations

Up to Date

Control room management (CRM) systems play an integral role in ensuring the safe and efficient remote operations of automated processes for the world's most critical infrastructures (CI). If anything goes wrong with these CIs, the risks are major: loss of life or catastrophic environmental disasters. For this reason, rigorous regulatory requirements are crucial.

CRM systems give operators the ability to automate and take control of CI processes, giving operators situational awareness and real-time visibility of remote assets. This minimizes the need for manual work and inspection, and scales a company's ability to safely manage many assets over a large geographical area from one control room.

Most CI have to handle hazardous material in some, if not all, of their operational areas. Though different by industry, regulations and oversight are extremely necessary.

ICS (Industrial Control Systems) and CRM tools are key components of real-time monitoring for advanced warning and emergency alarming. The combination of a “green, amber, red” alert on the screen of an operator's control console will prompt them to respond, and potentially lead to following emergency shut-down response procedures. Training and testing of the control systems and their related standards, procedures, and activities are all recorded in a system of record in compliance with regulatory requirements.

Current challenges
One of the biggest challenges is the ability to easily aggregate the data from the many different systems and integrate them with the operator's daily activity and responses to the many notifications they receive. This makes it difficult for handover, when a new control room operator comes in fresh to take over from the operator coming off duty. Ensuring a clean and clear handover that encompasses all the pertinent information, so that the new operator can take over the console with ease and clarity, is much more difficult than some would imagine.

Another issue is the sheer volume of data. When you have thousands of sensors streaming data, it is not unrealistic for a console to receive a few thousand data points per second. Performance and continuity are priorities on a CI control room console(s). So there is no room for error — meaning there is no room for big (quite literally) data.

All of this means that real-time data must be pushed off the operational and process control network and moved into an area where there are no controls, but big data can be stored to produce big-data analytic capabilities, enabling AI, machine learning, and other data science.

Controller/operator fatigue is also an issue. Manual tracking, documenting, and record-keeping increases fatigue, leading to more mistakes and omissions.

Opportunities for improvement
The Houston-based Tory Technologies, Inc. is a corporation specializing in advanced software applications, creating and integrating various innovative technologies, and providing solutions for control room management and electronic flow measurement data management.

Tory Technologies, Inc. can help with the auto population of forms, inclusion of historical alarms and responses, and easy handover of control with active/open issues highlighted, making for an easier transition from one operator to the next.

"CRM is essential for keeping operations safe and efficient in industries where mistakes can lead to serious problems," says Juan Torres, director of operations - MaCRoM at Tory Technologies, Inc. "While many control rooms have worked hard to meet compliance standards, challenges remain that can affect performance and safety. It's not enough to just meet the basic rules; we need to go further by using smarter tools and strategies that make CRM more than just compliant, but truly effective."

Shaun Six, president of UTSI International, notes that, "CRM solutions are scalable. A smart integration with relevant systems and related data will reduce 'white noise' and increase relevance of data being displayed at the right time, or recalled when most helpful."

The future state
Offering CRM as a service for non-regulated control rooms will give economies of scale to critical infrastructure operators, which will allow dispatching, troubleshooting, and network monitoring so operators can focus on more value-add activities.

It can also virtualize network monitoring, ensuring that field machines and edge computers are compliant with industry and company standards and are not exposed to external threats.

Even better: Much of this can be automated. Smart tools can look through each device and test that passwords are changed, configurations are secure, and firmware/software has been properly patched or safeguarded against known exploits.

The sheer volume of data from these exercises can be overwhelming to operators. But a trained professional can easily filter and curate this data, cutting through the noise and helping asset owners address high-risk/high-probability exploits and plan/manage them.

Ultimately, the goal is to make control rooms efficient, getting the right information to the right people at the right time, while also retaining and maintaining required documents and data, ensuring an operators “license to operator” is uninterrupted and easily accessible to external parties when requested or needed.

Integrating smart CRM systems, network monitoring tools, and testing/validating processes and procedures are all easily accessible with current technological capabilities and availability, letting operators focus on the task at hand with ease and peace of mind.

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Houston lab explores how AI bots can help the elderly

AI for aging

The University of Houston’s Empathetic Lifespan AI & Robotics for Aging (ELARA) Lab is currently conducting research into how AI bots may be able to help the elderly live more social and independent lives through several ongoing initiatives.

The lab officially launched last month as part of the Gerald D. Hines College of Architecture & Design under the leadership of Assistant Professor Chorong Park. Part of the lab’s mission is tackling ongoing problems with aging, such as dealing with disabilities and social isolation. Researchers’ current work is focused on designing a new AI companion bot specifically tailored to the needs of older people.

“We need to take all the needs of older adults seriously,” Park said in a news release. “They won't use the robot if they don't feel at ease or if they feel they are being constantly watched.”

The field testing of new AI bots in this population hopes to overcome several traditional obstacles in technology use among the elderly. A study by Park shows that many older people have a fear of overt surveillance when using advanced AI. There is also ageism to consider. Most new technologies are designed with younger and employed buyers in mind, not retirees who may need help remembering daily tasks or accessing important information.

“The more older adults are excluded from technology development, the worse those technology gaps will become,” Park said. “AI and the majority of technologies are created for younger people, so my research method integrates older adults directly into the design process.”

ELARA recently collaborated with the Mamie George Community Center in Richmond, Texas, to track seniors’ response to desktop AI bots like Emo and Cupboo. Researchers also had participants use air-dry modeling clay to create their ideal robotic companion.

While the eventual AI bot may be able to help the elderly feel less isolated and more supported, there are concerns to consider. A study published in the Asian Journal of Psychology charted the development of delusional thinking in a 72-year-old woman who became convinced the empathic-response bot was in love with her. The rise of “AI psychosis” has the potential to exacerbate mental health problems, particularly in socially isolated people, which a quarter of Americans over the age of 65 are.

ELARA’s research is focused on creating “pet-like” AI models with enhanced trust cues. If it can overcome the dangers of socially isolated people relying on AI for companionship, it could be a big step forward for independent aging.

SpaceX IPO set to be biggest ever and could make Elon Musk a trillionaire

IPO News

SpaceX says it plans to raise up to $75 billion when it goes public this month, setting the stage for the largest-ever stock market debut and putting Elon Musk on course to becoming the world's first trillionaire.

The company, formally known as Space Exploration Technologies Corp., said Wednesday it will sell 555.6 million shares at $135 a piece in an initial public offering. The estimated proceeds would easily top the $26 billion raised by oil giant Saudi Aramco in 2019. The offering would also give SpaceX a market value of $1.77 trillion. Only six companies in the S&P 500 are currently worth more, with Nvidia tops at $5.2 trillion.

Besides the size of the offering and the expected proceeds, SpaceX's amended prospectus updates details about how much control of the company Musk will have. As SpaceX's CEO, chief technical officer and chairman, Musk's voting power will come primarily through his ownership of 5.22 billion Class B shares, which give the holder 10 votes for every share held. According to the filing, Musk would have 82.4% of the voting power in the company.

Forbes currently values Musk's net worth at $826 billion and his stake in SpaceX at $542 billion. The estimated value of his SpaceX holdings was based on an overall value for the company of $1.25 trillion. Based on those numbers, a $1.77 trillion valuation for SpaceX would boost Musk's net worth by $223 billion, making him a trillionaire. However, much of Musk's worth is in stock that he has yet to cash in.

Even as it makes a bid for a blockbuster market debut, SpaceX is currently losing billions of dollars a year. The filing shows that the company lost $2.6 billion from operations last year on $18.7 billion in revenue, and the losses kept piling up at the start of this year, too.

Fantastical plans

Time will tell how SpaceX fares on the market. Musk's plans for the company are as fantastical as the money he hopes raise in the sale.

Colorful, even frightening in parts, the IPO document strikes a contrast with the typically dry, technical prose in IPO documents, detailing plans to use proceeds from the sale to help put men on the moon again and perhaps even Mars. In one section, it talks of a need to build "a permanent human colony" on the red planet with "at least one million inhabitants" as existential threats loom that could consign man to "the same fate as the dinosaurs."

Musk has almost equally ambitious plans for his other publicly traded company, Tesla. His goal is to transform the maker of electric vehicles into a producer of robotaxis and humanoid robots. Dan Ives of Wedbush Securities wrote in a research note that he expects Tesla and SpaceX to merge next year.

AI plays a key role

Key to the success of both companies — and any merged entity — is artificial intelligence. In its IPO filing, SpaceX says it sees potential revenue from AI of up to $26.5 trillion. But that depends on another lofty Musk ambition — putting data centers in space, which is not technologically possible at the moment.

Transforming his space company into a primarily AI-focused company will be a challenge for Musk, who started xAI in 2023 with 11 other co-founders who have all since left. Some were recruited away by rivals.

Its main AI product, the chatbot Grok, is "less impressive than anything that we see from any other major player in the space, whether that's OpenAI, or Anthropic, or (Google's) Gemini," said IDC analyst Arnal Dayaratna.

Dayaratna said that doesn't mean SpaceX doesn't have potential as a major AI player, thanks in part to its computing partnership with Anthropic and Musk's recent deal that gave SpaceX the rights to buy AI coding tool Cursor for $60 billion later this year. Folding in Cursor's capabilities would give SpaceX access to the coveted business customers now using Anthropic's Claude or OpenAI's ChatGPT.

SpaceX plans to use the net proceeds from the IPO to fund the expansion of infrastructure for its AI and rocket businesses, and to beef up the constellation of satellites that power Starlink Mobile, among other investments.

The company plans to list on the Nasdaq under the symbol "SPCX" and could begin trading as soon as the end of next week.

And SpaceX isn't the only colossal market debut investors are now bracing for. Earlier this week, Anthropic submitted a confidential filing with the U.S. Securities and Exchange Commission to officially start its own IPO clock.

OpenAI has not yet reported filing the initial SEC paperwork, but an IPO from the ChatGPT maker is widely expected.

"This listing represents the first major test for public markets after years of muted IPO activity with SpaceX paving the way for AI giants Anthropic and OpenAI to follow soon after," Ives wrote.

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Associated Press Technology Writer Matt O'Brien contributed.

New UH survey reveals concerns over AI data center growth in Houston

data findings

A new report out of the University of Houston shows that area residents remain wary of the long-term effects of operating data centers.

The recent survey from the University of Houston’s latest SPACE City Panel, conducted by the Center for Public Policy at the Hobby School of Public Affairs, shows that while 85 percent of Houston-area residents use AI, nearly 63 percent oppose the construction of AI data centers within 1 mile of their homes.

Respondents’ concerns centered around data centers’ high energy demand and the area’s power grid reliability. According to the survey, 32 percent of residents who oppose local data center projects would be more likely to support the centers if they relied on renewable energy over fossil fuels.

“Respondents understand that AI can bring economic and educational benefits, but they are also concerned about the physical infrastructure needed to fuel AI, especially data centers,” Soran Mohtadi, post-doctoral fellow at the Hobby School and a researcher on the report, said in a news release. “This physical infrastructure demands more electricity and water, leading to environmental impacts.”

Experts estimate that 6.5 gigawatts of data center capacity will be added to the Texas grid by 2030. And Houston’s data center capacity is predicted to more than double by 2028.

The Electric Reliability Council of Texas also projects electricity demand could reach 218 gigawatts by 2031, which would be more than double the record peak set in August 2023. Data centers are expected to account for 86 gigawatts of that new demand.

Survey respondents also said they are concerned about the state's future water supply, given the large amounts of water that data centers need to stay cool.

In terms of who’s responsible for that issue, 57.6 percent of respondents said they put the onus on Texas lawmakers, while 31.5 percent say tech companies should be responsible.

Additionally, more than 75 percent of respondents believed that data center developers and technology companies—not residents—should bear the cost of infrastructure upgrades to support data centers.

“Every decision legislators make has implications on residents’ everyday lives and local infrastructure now and in the future,” Maria P. Perez Arguelles, lead researcher on the report and research assistant professor at the Hobby School, added in the news release. “This issue is going to become more important in years to come, so this is just the beginning.”

Read the full report here.