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 mitigate risks 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 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). MIT STEX25 recognizes select companies from a pool of more than 1,000 MIT-connected startups as being particularly well-suited for industry collaboration based on technical and commercial success.

• Marathon: Marathon continuously monitors critical equipment, suggesting prescriptive actions to prevent downtime, reduce equipment lifecycle cost, and lower energy consumption.
• ArundoEdge & EdgeManager: ArundoEdge enables fast, secure streaming of IoT sensor data from control systems to the cloud, while EdgeManager allows one-click deployment of machine learning models and monitoring of system health.
• SPYRO® for Asset Management (SAM): SAM uses real-time data and predictive analytics to optimize OPEX, production yield, cracking temperature, and feed rate in ethylene and propylene plant infrastructure.
• CarbonPath: CarbonPath connects all parties in the shipping value chain, allowing them to share their emissions securely and deliver the full picture of their Scope 3 emissions.
• Energy Optimizer: The Energy Optimizer uses mathematical optimization and machine-learning electricity price forecasts to cut energy costs in industrial processes with varying power input, while reducing the carbon footprint.