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With primary 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 analytics applications. Arundo's software connects industrial data to advanced models and model insights to business decisions. This enables industrial companies to increase revenue, reduce costs and mitigate risks. In 2016, Arundo graduated from Stanford University’s StartX accelerator 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.
Arundo’s software allows industrial companies to increase revenue, reduce costs, and reduce risk through enterprise-scale machine learning solutions that connect industrial data to advanced models and connect model insights to business decisions.
Our software is purpose-built for industrial time series data. We focus on deploying advanced data models and managing their health and performance, so they run like high-reliability websites with seamless results for business users. We can deploy and manage data models on edge devices in remote or rugged areas. With Arundo, industrial operators can finally find value in data.
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