Arundo Analytics Announces Latest Release of Industrial IoT Software Suite

HOUSTON & OSLO, Norway–(BUSINESS WIRE)–#ArundoAnalytics—Arundo
Analytics, a software company enabling advanced analytics in heavy
industry, announced today the Fall 2017 general availability software
release for its Arundo Enterprise suite. The latest release includes
significant feature and functionality upgrades in Arundo’s Edge Agent,
Composer and Fabric software products for advanced analytics and
Industrial IoT enablement.

“Our Fall 2017 release further enables industrial customers in
industries such as oil & gas, maritime and utilities to rapidly connect
machine learning models, live data sources and business decision-makers
through flexible, easy-to-use software,” said Tor Jakob Ramsøy, Founder
and CEO of Arundo Analytics.

The Fall 2017 release follows the successful introduction of the Arundo
suite to heavy industrial users starting in 2016. Arundo’s customers and
partners include Statoil, the Norwegian national oil company; Carnival
Cruise Line, the world’s largest passenger shipping company; and SICPA,
the leading provider of security and authentication services to national
governments worldwide.

“Industrial customers operate capital-intensive legacy assets that are
often decades-old,” said Jeff Jensen, Chief Technology Officer of Arundo
Analytics. “Allowing our customers to connect to these assets through
Edge Agent and inform better business decisions in remote or
disconnected operating environments is core to Arundo's vision to
transform heavy industry through data-driven insights.”

New Features in Fall 2017 Release

Arundo Edge Agent enables industrial analytics in rugged, remote or
disconnected environments. New features and functionality in Arundo Edge
allow users to:

• Quickly and easily install Edge Agent on Windows, Linux or Mac OS
  devices
• Support highly distributed architectures with offline buffering
• Use on-Edge compute chains for pre-stream processing of “virtual” or
  calculated sensors
• Directly access a local, web-based interface including streaming
  visualization

Arundo Composer allows companies to quickly and easily deploy
desktop-based machine learning models into the Arundo Fabric cloud
environment through a single command line. Composer also enables
companies to create and manage live data pipelines and integrate such
pipelines with deployed data models. New features and functionality in
Arundo Composer allow users to:

• Scale deployed models and view logs
• Create and manage live data pipelines
• Rapidly prototype models locally before live deployment
• Auto-render data model user interface upon deployment

Arundo Fabric is the cloud-based hub for data models, enabling
connections between data models published from Composer, streaming data
from Edge Agent and static data ingested from other sources. New
features and functionality in Arundo Fabric allow users to:

• View master lists of tags and sensors streaming data in real-time
• Access real-time status for deployed models
• Tie into existing interfaces and applications through APIs
• Use federated or out-of-the-box user authentication

Ellie Dobson, VP Data Science at Arundo Analytics, noted, “Arundo
Composer, together with Arundo Fabric, automates the significant work
and technical infrastructure required to turn desktop data science
models into enterprise-scale machine learning applications. This
software enables data scientists to focus on data science, rather than
spending weeks on software engineering, model front-end development, or
other issues, or coordinating with IT administrators, software
developers, or DevOps/reliability engineers in order to publish machine
learning models to the cloud.”

About Arundo Analytics

With offices in Oslo, Houston and Silicon Valley, Arundo Analytics
provides cloud-based and edge-enabled software for the deployment and
management of enterprise-scale industrial data science solutions.
Arundo's software allows industrial companies and other organizations to
increase revenue, reduce costs and reduce risk through machine learning
and other analytical solutions that connect industrial data to advanced
models and connect model insights to business decisions. In 2016, Arundo
graduated from Stanford University’s StartX accelerator program, and has
subsequently received investment from the Stanford-StartX Fund. In 2017,
Arundo was named to the MIT STEX25 by the Massachusetts Institute of
Technology Startup Exchange (MIT STEX), which recognizes select
companies from an elite pool of more than 1,000 MIT-connected startups,
distinguished by early commercial success, as being particularly
well-suited for industry collaboration. For more information, please
visit www.arundo.com,
or follow Arundo Analytics on Twitter @arundoanalytics.

Contacts

Treble
Ethan
Parker, 512-960-8222
[email protected]