Organize Data Once – Find it Forever

Universal Access to Your Data

A Complete Data Access Solution


Virtualized Hardware
Standard Hardware


Data Access Platform

Data Policies & Workflow Engine
Standard APIs POSIX, Windows, HDFS (Hadoop, Spark)
Security: Authentication & Encryption
Distributed Unified Namespace
Distributed Data Stores
Integrated Indexing


or Custom

Enterprise Find
Rotating Equipment Predictive Analytics
Industrial Parts Digital Threading
Industrial Design Dossier
Apps on Spec

Data Source Examples
  • Computer Assisted Design
  • Computational Fluid Dynamics
  • Finite Element Analysis
  • Testbench Telemetry
  • Remote Telemetry
  • Repair & Maintenance
  • System Administrators
  • Simulation Engineers
  • Test Engineers
  • Research Analysis
  • Design Engineers
  • Service Engineers
  • Subject Matter Experts
  • Data Scientists
  • Business Analysts


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Aureum® provides a large-scale data infrastructure that consolidates data on- and off-premises into a data plane supported by the unified Peaxy namespace. The namespace spans storage types and uses patented technology to retain file pathnames — even across file migrations and technology refresh cycles — to ensure uninterrupted access to data assets.

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A sophisticated software-based architecture creates a distributed data space that is dynamically expandable. The software serves files, independent of the specific attributes of the underlying hardware, by clustering Virtual Machines (VMs) or Containers to host and manage data.
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Peaxy Blog

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Aureum 5.0 Release Improves On
A World-Class Data Access Platform
March 8, 2017

Peaxy® announced the release of Aureum® 5.0, the newest version of a data access platform that gives the enterprise total access to large unstructured data sets across different physical locations and the cloud.
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How Data Access Impacts the IOT Manufacturing World
May 15, 2017

The number of sophisticated sensors in the IoT and Industrial Internet worlds will grow exponentially in the next few decades. The data infrastructure that most companies have in place today are just not ready to find, access and process the enormous amount of real-time data that emanate from complex machines.
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