Success across multiple

Industry 4.0 aims at catalyzing and improving innovation, efficiency, flexibility and security. Fog and Edge Computing are the keystones in the bridge between modern IT and the future of OT.

The computing
infrastructure for the
smart and flexible Industrial Automation Floor

Fog and Edge Computing bring Cloud features close to the industrial floor together with real-time and safety features. They enable scalable computing at the edge with resource virtualization supporting both real-time and non real-time computing. They incorporate modern application management and data interoperability middleware, including OPC UA, edge storage, analytics, security, and advanced networking.

Modern Data
Analysis and Visualization

Enables factory fleet management, predictive maintenance, predictive quality control and higher efficiency.

Cloud Inspired
Secure Software

Reduces management cost, enables faster software updates, improves flexibility and security, enables innovative application hosting (an Industrial fogStore).

Convergence of Real Time and non Real Time Functionality

Enables the convergence of key industrial floor functions, currently hosted in different, poorly communicating subsystems, and control points, with real time based complex analytics.

The Future Flexible Factory

Reconfigurable automation cells, arranged in a matrix configuration, with
mobile robots
distributing tools, products and materials, requires a Fog-based architecture.

Customer Success Stories
Industrial Automation

Audi’s Automated Factory Moves Closer to Industry 4.0 Case Study

Combining forces with Nebbiolo for edge software, Intel is taking analytics to the edge and helping German automaker Audi automate and enhance critical quality-control processes in its factories. Working closely with Audi engineers and technicians, Intel created a scalable, flexible platform solution that Audi can use as the foundation for current improvements and future innovations, enabling the company to increase efficiency and reduce costs.


KUKA Connect Case Study

Industrial robots are a mainstay in the manufacturing of automobiles and auto parts. Their use is spreading widely to other areas of discrete manufacturing. KUKA Robotics, one of the leading suppliers of Industrial Robots for general industry and for automobile manufacturing, found compelling use cases to deploy fog computing as part of their robotic ecosystem.

laser cutting machine 3d rendering

Machine Fog Node (MFN) Case Study

A traditional machine consists of tens of controllers performing functions as if in individual silos. The sensors, actuators, and other field devices work together to create the main control loop of the machine. The Industry 4.0 initiative to standardize components and the availability of industrial PCs has sparked the move towards applying edge computing to the machines. Edge computers provide a platform to integrate functions and a means to use analytics to influence the control loops. The Nebbiolo Machine Fog Node takes this one step further by applying the fog computing paradigm to the machine.

use case 3 cover image Analytics - Screen Shot

Industrial Floor Streaming Analytics

One of the fundamental promises of Industry 4.0 is to make available to the Industrial Manufacturing Floor some of the advances in data management and analytics, including Machine Learning and Artificial Intelligence. The hope is that this new visibility and understanding will help improve production efficiency and product quality.

Presentation about automation as an innovation improving productivity, reliability and repeatability in systems or processes

Modernizing Industrial Electronic Infrastructure

The electronic infrastructure characterizing today’s
Industrial Floors is built around embedded systems, such
as PLCs, Computer based Numerical Controllers (CNCs),
and Industrial PCs, running either real-time OSs or multiple
generations of Windows OS.




Fog Computing drives a powerful convergence, unification and standardization of control within heteregenous smart grids architectures.

Oil & Gas

Fog Computing enables distributed edge analytics allowing a digital oil and gas fields transformation.

Smart Cities

Fog Computing will be able to obtain sensor data on all levels, and integrate all the mutually independent network entities within.

Intelligent Transportation

Fog Computing is ideal for Connected Vehicles (CV) because real-time interactions will make communications between cars, access points and traffic lights as safe and efficient as possible.
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