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 researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”

12 winners named at CERAWeek clean tech pitch competition in Houston

top teams

Twelve teams from around the country, including several from Houston, took home top honors at this year's Energy Venture Day and Pitch Competition at CERAWeek.

The fast-paced event, held March 25, put on by Rice Alliance, Houston Energy Transition Initiative and TEX-E, invited 36 industry startups and five Texas-based student teams focused on driving efficiency and advancements in the energy transition to present 3.5-minute pitches before investors and industry partners during CERAWeek's Agora program.

The competition is a qualifying event for the Startup World Cup, where teams compete for a $1 million investment prize.

PolyJoule won in the Track C competition and was named the overall winner of the pitch event. The Boston-based company will go on to compete in the Startup World Cup held this fall in San Francisco.

PolyJoule was spun out of MIT and is developing conductive polymer battery technology for energy storage.

Rice University's Resonant Thermal Systems won the second-place prize and $15,000 in the student track, known as TEX-E. The team's STREED solution converts high-salinity water into fresh water while recovering valuable minerals.

Teams from the University of Texas won first and second place in the TEX-E competition, bringing home $25,000 and $10,000, respectively. The student winners were:

Companies that pitched in the three industry tracts competed for non-monetary awards. Here are the companies named "most-promising" by the judges:

Track A | Industrial Efficiency & Decarbonization

Track B | Advanced Manufacturing, Materials, & Other Advanced Technologies

  • First: Licube, based in Houston
  • Second: ZettaJoule, based in Houston and Maryland
  • Third: Oleo

Track C | Innovations for Traditional Energy, Electricity, & the Grid

The teams at this year's Energy Venture Day have collectively raised $707 million in funding, according to Rice. They represent six countries and 12 states. See the full list of companies and investor groups that participated here.

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This article originally appeared on our sister site, EnergyCapitalHTX.com.