Arundo transforms heavy industries through IoT and machine learning
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At a glance
- Arundo provides software to enable enterprise-scale machine learning and advanced analytics applications for industrial companies
- Arundo’s customers transform their businesses through predictive analytics, deeper understanding of physical operations, and data-driven software-as-a-service (SaaS) applications
Arundo’s Enterprise platform provides asset-heavy businesses with access to critical edge-data streaming from a broad range of assets. Leveraging this data, the platform deploys complex machine learning models in minutes.
Challenge
Data-driven insights can significantly increase revenue, reduce costs and mitigate risk in areas such as asset utilisation, equipment maintenance, safety, logistics, and scheduling. However, many companies have not yet fully built up their analytics expertise and may struggle to derive value from data science and software capabilities in day-to-day operations.
Solution
IoT software designed for industrial users by industrial users
Industrial companies in particular need the ability to rapidly deploy machine learning and other advanced analytical models connected to live data. There is also a need for a central repository for managing status, permissioning, model health, uptime and accuracy, as well as a series of applications to deliver the insights produced.
Built for the modern industrial enterprise, Arundo Analytics’ IoT software enables advanced analytical applications in heavy industrial settings. It does this by facilitating access to edge data and edge computing capabilities, which is critical for assets in remote, rugged locations, such as pipelines, subsea pumps, wind turbines and flow meters.
Benefits
The Arundo Enterprise platform provides rapid machine learning and live-data connected model deployment into the cloud and is tailored to meet the needs of asset-heavy businesses.
Arundo Analytics also offers a comprehensive platform for large-scale model management that enables a series of advanced applications to improve decision-making for operators in asset-heavy industry. Model outputs can be fed into existing visualisation tools or custom UIs and workflows.
Market potential
Tremendous growth is expected in the Industrial IoT software market, which could exceed hundreds of billions USD within the next decade.
With its deep industry ties, robust, innovative core product, and extensive global technical, domain and data science expertise, Arundo Analytics is well-positioned in this highly lucrative market.
Arundo’s client and partner roster spans a wide variety of industries, including oil and gas, power, maritime, chemicals and manufacturing.
Advancing the Sustainable Development Goals
7. Affordable and clean energyArundo’s customers transform their businesses through predictive analytics, deeper understanding of physical operations, and data-driven software-as-a-service (SaaS) applications
9. Industry, innovation and infrastructureThe Arundo Enterprise platform is helping to usher in a new era of advanced analytics that will lead to greater industrial efficiencies, better and safer industrial working conditions, greater agility on the part of businesses and governments to respond to infrastructure issues, and greater innovation by prioritising data-driven insights.
12. Responsible consumption and productionThe Arundo Enterprise platform deploys advanced machine learning models that help asset-heavy businesses to streamline their processes, limit waste and improve overall efficiency.
Edoardo Jacucci
General Manager EMEA
