With our Real-Time Data Platform, leading manufacturers unlock measurable gains, from reduced downtime and energy savings to smarter, faster decision-making on the shop floor.
Predictive maintenance and analysis minimized unexpected breakdows and loss of production synergy.
Process optimization using digital twin simulations streamlined workflows and reduced waste.
Real-time energy management optimized consumption and significantly reduced energy bills.
Digital manufacturing can only deliver on its promises if it perfectly masters the informational dimension of production : machine data (telemetry, etc.), contextual data (production orders, operators, etc.) and their correlations.
The Newboot digital twins platform gives you that control to gather and access your data in real time.
The platform consists of a tool, a methodology and a pool of partners based on standards, around the 3 ontologies of “data”, “correlations” and “analytics” (enabling optimization thanks to AI).
Newboot platform offers simplified deployment and a limited number of partner types : a process designer, an integrator and an AI specialist.
Tool
Methodology
Partners
A digital twin is essentially an informational abstraction of a complex industrial asset (such as a complete factory).
By elegantly combining information, data & knowledge, it enables manufacturers to overcome the limitations of the current state of industrial technology by mastering all aspects of digital manufacturing : equipment management, operator know-how, cost reduction, production increase, simulation & new product invention.
Reduce costs
Savings opportunities
Increase production
Volume gains
Invent new products from existing assets and know-how
New business opportunities
Newboot’s cutting-edge mastery of edge computing enables industry to properly manage the versioning of deployed AI software, whether on edge devices, servers or in the cloud.
The benefits of the digital twin include regaining control of processes to mitigate the loss of knowledge associated with the mass retirement of the boomer generation.
Digital Twin will allow you to regain control of your PLC programs through standardization of programming languages.
Unlock the full potential of your industrial data with our modular, end-to-end Real-Time Data Platform, designed to scale with your needs, from pilot to full deployment.
Newboot OS runs on industrial IoT gateways, seamlessly collecting and standardizing data from 95% of industrial PLCs, machines, and all types of sensors with native protocol support.
Our Edge Management Platform enables seamless device management and configuration by location and project, with integrated machine and sensor module control, variable configuration, and real-time performance monitoring.
Our Data Platform lets you browse all machine and sensor variables on a single screen, compare them to uncover correlations and trends, and visualize Digital Twin relationships in real-time and historical contexts across machines, sensors, and sites.
We create Digital Twins of your industrial processes, combining machine catalog management, data ontology, and contextual process operation data, with real-time and historical data capabilities for a comprehensive digital representation.
Deploy your AI models at the Edge to enable real-time anomaly detection, predictive analytics, and process optimization. Run custom applications with Kubernetes to stay agile, reduce latency, and adapt quickly to evolving operational needs.
Our 3D visualization platform, powered by NVIDIA Omniverse®, models your production lines with real-time data for a 360° view of your processes. It natively integrates with Newboot and includes pre-configured connectors for external data sources.
Newboot meets international standards of COSIRI (EMS), SAREF, EcoStruxure™ Automation Expert
Newboot’s mission is to create new states of the art in industry, which is the only way to scale up technology, leading it to develop research activities in the following area :
Standardisation of the data structure of digital twins (SAREF standard) at international level, enabling the technology to be scaled up (between entities in the same plant and between Business Units)
Standardisation of PLC programs through its participation in the EAE and Universal Automation consortiums, giving manufacturers complete control over PLC programs (backup, update, automatic deployment of new versions, etc.)
Linking digital twins with manual know-how by capturing and analysing business processes and linking them to processes
Before
A multitude of software and solutions from major publishers that are – at best – nothing more than a heap of functionalities barely connected to each other
After
A single platform
for all your data
Before
The need to create one’s own methodology and find partners capable of working together
After
A clear, structuring methodology enabling a reduced number of partners
Before
Difficulty linking industrial data and
IT data (e.g. from supply chain)
After
Easy implementation of all stages of the Manufacturing Execution System
Before
According to McKinsey, even today, over 70% of digital manufacturing projects are partial or complete failures*
After
A success rate of almost 100%
Before
No standardization of data
or data structure
After
SAREF data and structure standard
Before
Even in the case of success and similar plants, projects that cannot be directly deployed
After
Projects that can be deployed
directly in similar plants
Before
Siloed end-users with different systems and information languages
After
End users with a common
language in real time
Before
“AI is not for me”
After
A simple, cost-effective
platform for deploying AI
Before
Cold and static data
After
Massive and real-time data managment
Before
Uncontrolled global costs
Exponential cloud computing costs
After
Keeping global costs under control
Edge Computing keeps computing costs under control
Before
No notion of payback in general
After
A solution tailored to paybacks
Newboot has already covered more than 30 different use cases, from networking older production machines, creating real-time knowledge bases in the form of Digital Twins, optimizing industrial processes, improving power consumption, to visual computing solutions for default detection.
Many companies are already using our solutions to monitor and improve their industrial processes, based on reliable, standardized and structured data.
From Europe to Asia, our solutions are successfully deployed in a wide range of industries, proving their impact across diverse use cases and geographies.
Deployed sites
Use cases
Countries
We work closely with world-renowned technology partners to support your projects.