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Advanced Machine Learning
for a Smarter Industrial IoT

Welcome to a world where data from anything in our physical world can be used to make life better, safer, and closer to magic than ever. By applying smart algorithms, we can make the best use of everything from manufacturing machinery to industrial equipment. And data can be controlled, shared, and monetized in new ways. Cascadence helps make this possible by bringing a breakthrough level of data efficiency with intelligence at each key point of the ecosystem.

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Why Cascadence?

Cascadence is an exceptionally efficient solution for predictive analytics and machine learning. Instead of pushing massive amounts of data to the cloud, Cascadence actively distributes intelligence to the sensor endpoints at the edge. Our in-memory platform puts fast data processing in small storage devices. This enables data to be summarized at the edge and intelligently cascaded to stakeholders in secure, permission-based views.

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Custom solutions across
many industries

Created by Toumetis and already in use in some of the world’s premier IoT applications, Cascadence is a flexible platform that has broad application across sectors within the Internet of Things:


oil & gas




water utilities – and many more

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Delivering insight
where you need it

Backed by some of the most brilliant brainpower in the app development world, Toumetis designs, builds, tests, and implements solutions that seamlessly integrate with your business workflows. With ease of use and security top of mind, we help employees become more productive and customers more satisfied while growing your profitability.

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Hyper fast, high-touch
work approach

Toumetis brings a flat team structure that enhances direct collaboration and eliminates inefficiencies—to take your Cascadence IoT solution from concept to completion in weeks or months, not years. Our consulting and development approaches have been honed through years of real-world experience with major companies across many business sectors. Our team is experienced in data science best practices, including CRISP-DM methodology and experience in a wide range of algorithms.

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*Source: “Internet Of Things (IoT) Predictions From Forrester, Machina Research, WEF, Gartner, IDC” Forbes, January 27, 2016