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 Digital Analytics Journey

Edge Composer Fabric Applications

 

Arundo Enterprise is a modular, flexible software suite to create data products for people. We connect live data to machine learning and other analytical models, and model outputs to business decisions.

 

Show impact in 90 days or less. Get 10x ROI in critical business areas.

Connect

 

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Edge Agent

connectivity and analytics in remote environments

 

Arundo Edge Agent enables industrial connectivity and analytics in rugged, remote, or disconnected environments.

 

Key features include the ability to:

  • Stream field data in less than five minutes with 1-click set-up
  • Quickly and easily install Edge Agent on Windows, Linux, or Mac OS devices
  • Support highly distributed architectures with offline buffering
  • Use on-Edge compute chains for pre-stream processing of “virtual” or calculated sensors
  • Directly access a local, web-based interface, including streaming visualization 
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See what Edge Agent enables for:

  • Live insights from machine learning
  • Improved decision processes
  • Immediate, tangible business value

We do this through intelligent sampling and capture of sensor data, and local analytics in bandwidth-constrained environments.

  • Capture and viewing of streaming datasets
  • Edge computation of “synthetic sensor” values

We enable this through a simple web interface and configurable data manipulation.

  • Data capture on local Windows, Linux, or Mac OS hardware
  • Buffering for bandwidth optimization

We do this through lightweight, flexible software for common computing hardware, simple install and configuration via wizard, incorporates best-of-breed cloud security functionality, intuitive interface and simple permissioning.

  • Capture and viewing of sensor data from critical equipment
  • Local decision loops when disconnected from the cloud

We enable this through common industrial connectors and a simple web interface.

  • Simple ingest of streaming data
  • Capture and viewing of data

We enable this through common industrial connectors and a simple web interface.

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Deploy

 

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Composer

deploys and manages models at scale

 

Arundo Composer allows data scientists to quickly and easily deploy desktop-based analytical models into the Arundo Fabric cloud environment with a single command. Composer also enables companies to create and manage live data streams and integrate such streams with deployed data models.

 

Key features include the ability to:

  • Scale deployed models and view logs
  • Create and manage live data pipelines
  • Rapidly prototype models locally before live deployment
  • Auto-render data model user interface upon deployment

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See what Composer enables for:

  • Live insights from machine learning
  • Improved decision processes
  • Immediate, tangible business value

We enable this through seamless integration with existing tools and technology.

  • Cloud-published machine learning models in minutes
  • Ability to manage datasets and data streams across published models
  • Auto-rendered model interface
  • Test and debug through web interface on
    local machine
  • Model management at scale

We enable this through simple command line tools for publishing and managing models, containerized models from native DS toolset, standardized endpoint-defined user interface, HTML front-end development add-ons, simple interface for models management minutes.

  • Single sign-on-secure cloud environment
  • Easy user management

We enable this as we incorporates best-of-breed cloud security functionality, intuitive interface and simple permissioning.

  • Live insights from machine learning
  • Integrated tools and alerts
  • Immediate, tangible operational improvement

We enable this by seamless integration with existing tools and technology, and enables static and streaming data into cloud-based machine learning framework.

Manage

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Fabric

cloud-based hub for models & data streams

 

Arundo Fabric is the cloud-based hub for deployed machine learning models, data streams, edge agent management, and quick navigation to extended applications.

 

Key features include the ability to:

  • View master lists of tags and sensors streaming data in real-time
  • Access real-time health metrics for deployed models
  • Tie into existing interfaces and applications through APIs
  • Use federated or out-of-the-box user authentication

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See what Fabric enables for:

  • Live insights from machine learning
  • Improved decision processes
  • Immediate, tangible business value

 

We enable this through seamless integration with existing tools and technology.

  • Cloud-published machine learning models in minutes
  • Ability to manage datasets and data streams across published models
  • Auto-rendered model interface
  • Test and debug through web interface on
    local machine
  • Model management at scale

 

We enable this through simple command line tools for publishing and managing models, containerized models from native DS toolset, standardized endpoint-defined user interface, HTML front-end development add-ons, simple interface for models management minutes.

  • Single sign-on-secure cloud environment
  • Easy user management

 

We enable this as we incorporates best-of-breed cloud security functionality, intuitive interface and simple permissioning.

  • Live insights from machine learning
  • Integrated tools and alerts
  • Immediate, tangible operational improvement

 

We enable this by seamless integration with existing tools and technology, and enables static and streaming data into cloud-based machine learning framework.

Engage

 

Applications

Arundo offers a portfolio of high ROI SaaS products. Each of these solutions comes with a core out-of-the-box functional capability that leverages the core strengths of the Arundo Enterprise platform while maintaining the extensibility of the open framework upon which it rests.

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Apps CPM

 

Equipment Condition & Performance Monitoring (CPM)

 

Apps Failure Predict

 

Failure Predict

 

Apps Marine

 

Marine Asset Manager

 

We help industrial companies increase revenue and reduce costs through smarter operations.