Staffing up

Houston software company looks to grow its workforce internationally

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.

Using APIs, organizations can more easily combine their own internal data. Getty Images

Houston, home to one of Cognite's U.S. headquarters, is the energy capital of the world. But while many oil and gas industry players and partners come together here, much of the data they use — or want to employ — remains siloed.

There's no lack of data. Connected devices are a wellspring of enterprise resource planning data, depth-based trajectories, piping and instrumentation diagrams, and sensor values. But incompatible operational data systems, poor data infrastructure, and restricted data access prevent organizations from easily combining data to solve problems and create solutions.

We understand these challenges because we work alongside some of the biggest operators, OEMs and engineering companies in the oil and gas business. Lundin Petroleum, Aker Energy OMV, and Aker BP are among our customers, for example.

Flexible, open application programming interfaces can address the challenges noted above. APIs enable users to search, filter and do computations on data without downloading full data sets. And they abstract the complexity of underlying storage formats.

As a result, data scientists and process engineers can access data in an efficient manner, spending more time on their use cases and less effort contending with technical details. Using APIs, organizations can more easily combine their own internal data. APIs also simplify the process of using data from industry partners and other sources.

Most companies have slightly different work processes. But common API standards can help a company combine software services and platforms from others in a way that matches its own business logic and internal processes. That can allow the company to differentiate itself from competitors by employing services from the best suppliers to create innovative solutions.

Standardizing APIs across the oil and gas industry would open the door to a community of developers, which could create custom applications and connect existing market solutions. Then more new and exciting applications and services would reach the market faster.

To ensure adoption and success of such a standardization effort, the APIs would need to be well crafted and intuitive to use. These APIs would have to include the business logic required to perform the operations to empower users. In addition, APIs would need to define and allow for the sharing of desired information objects in a consistent way.

Best practices in defining common APIs for sharing data within the industry include:

  • Introducing APIs iteratively, driven by concrete use cases with business value
  • Ensuring all services using the API provide relevant output and insights in a structured machine-readable format, enabling ingestion into the API to ensure continuous enrichment of the data set
  • Making all data searchable
  • Preventing underlying technology from being exposed through the APIs to ensure continuous optimization and allow companies to implement their technology of choice
  • Supporting all external data sharing through an open, well-documented and well-versioned API, using the OpenAPI standard

If oil and gas industry operators define APIs, suppliers will embrace them. That will "grease" the value chain, allowing it to move with less friction and waste.

Operations and maintenance are a natural place for API harmonization to start. Standardized APIs also can enable operators to aggregate and use environmental, equipment and systems, health and safety, and other data. That will accelerate digital transformation in oil and gas and enable companies to leverage innovative solutions coming from the ecosystem, reduce waste, and improve operations, making production more sustainable.

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Francois Laborie is the general manager of Cognite North Americas.