Houston software company looks to grow its workforce internationally

Staffing up

This growing Houston company is providing industrial industries with smart analytics. Getty Images

A Houston-based analytics-focused company is gearing up for growth in 2019 and plans to staff up its headquarters and remote offices abroad.

Arundo Analytics Inc. brings industrial companies — which sometimes are slow to adopt brand-new technology — into the world of machine learning and advanced analytics to help boost revenue, cut costs and reduce risks.

The startup's enterprise software gives asset-heavy industrial businesses "a virtual window into their day-to-day operations," says Stuart Morstead, co-founder and chief operating officer of Arundo. Among the operations that benefit from software are equipment maintenance, safety, logistics and scheduling.

Morstead points out that most industrial companies that encounter issues with operations such as equipment maintenance "lack the data science and software capabilities to drive value from insights into their daily operations."

Arundo aims to solve that problem by incorporating machine learning and advanced analytics — the kind of innovations emanating from the likes of Amazon, Google, and IBM — into everyday business operations at industrial companies, says Morstead, a former partner at consulting firm McKinsey & Co. and a graduate of Rice University.

Aside from its broad enterprise software, Arundo supplies out-of-the-box applications that tackle individual industrial challenges like flow metering for the offshore oil and gas industry and monitoring the condition of equipment. The virtual cloud-based multiphase flow meter is sold as part of a software package from industrial technology giant ABB.

More than 50 of Arundo's estimated 110 employees work on that technology from the startup's headquarters in downtown Houston. To propel its growth, Arundo plans to add employees this year in Houston as well as its other offices in Canada, Norway, Sweden and the United Kingdom, according to Morstead.

In 2016, Arundo graduated from Stanford University's StartX accelerator program. A year later, Arundo was named to the MIT STEX25 accelerator program by the Massachusetts Institute of Technology Startup Exchange.

Since its founding in 2015, Arundo has raised more $35 million in capital, including a Series A round of $28 million that closed in the first half of 2018. Investors include Sundt AS, Stokke Industri, Horizon, Canica, Strømstangen, Arctic Fund Management, Stanford-StartX Fund and Northgate Partners.

Aside from drawing more funding in 2018, the startup set up several strategic partnerships designed to increase the adoption of Arundo's software in sectors such as oil and gas, manufacturing, shipping, construction and maritime. Among the new partners are Dell Technologies, DNV GL's Veracity platform and WorleyParsons.

Going forward, Morstead says Arundo aims to bring its software expertise, business prowess and "world-class data science" to even more industrial companies and their physical assets as part of the global Industrial Internet of Things sector. That market is projected to approach $1 trillion by 2025, up from $100 billion in 2016.

To be sure, Arundo is competing in a market that's rife with opportunity. Consulting firm Accenture estimates the IIoT market could add $14.2 trillion to the global economy by 2030.

"Arguably the biggest driver of productivity and growth in the next decade, the Industrial Internet of Things will accelerate the reinvention of sectors that account for almost two-thirds of world output," the Accenture report says.

Tor Jakob Ramsøy, founder and CEO of Arundo, certainly grasps the enormous potential of IIoT.

"Asset-heavy companies can no longer afford to make business decisions based on an incomplete view of their organization," Ramsøy, a former McKinsey partner, said in a 2018 news release. "By combining deep data and [artificial intelligence] knowledge with decades of cumulative experience in enterprise consulting, Arundo is ushering in a new era in IIoT."

Tracking performance

Courtesy of Arundo

Arundo's Condition & Performance Monitoring Software can easily be plugged into a company's system and track its equipment using cloud technology.

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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI. In a study published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”

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