AtomBeam's Code Fits in Virtually all IoT Devices and Uses Machine Learning to Reduce Size of IoT Data

Today, AtomBeam launches its free Customer Portal, giving prospective customers limited access to AtomBeam’s patented, radical new AI software. Using the portal, prospective customers can validate actual reductions achievable in IoT data transmission (typically 75%).

Customers can safely and securely test their own data or use one of several sample IoT datasets provided. The Customer Portal is simple to use and a way to directly experience the power of AtomBeam’s compaction technology.

AtomBeam’s light, fast code fits in virtually all Internet of Things (IoT) devices and uses machine learning to reduce the size of IoT data. The original data is never transmitted, adding ultralight security. AtomBeam’s patented process can operate on the smallest IoT data files, unlike compression; compression technologies cannot significantly reduce IoT data because machine/IoT files are simply too small for it to be effective. In contrast, AtomBeam solves the IoT data reduction problem by applying advanced mathematics to find data patterns across thousands of IoT files. AtomBeam is a real-time technology, operating at up to 400x the speed of compression. This ultrafast processing, combined with typically sending only 25% of the original data, translates to AtomBeam effectively quadrupling the speed or capacity of networks.

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In the age of AI, cloud integration, and increasing demands for flexibility, LANs must do more than ever before. Gone are the days when an upgrade every few years was sufficient. Today, it’s about building a network that adapts and scales continuously to meet the demands of hybrid work, security requirements, and business agilit


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Spotlight

In the age of AI, cloud integration, and increasing demands for flexibility, LANs must do more than ever before. Gone are the days when an upgrade every few years was sufficient. Today, it’s about building a network that adapts and scales continuously to meet the demands of hybrid work, security requirements, and business agilit

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