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Fill out the following form to request additional information about any of our solutions, or for general questions.

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EDGE MANAGEMENT & ORCHESTRATION

Scaling your platform is not just about connecting more Edge devices. It's about maintaining, configuring, and orchestrating them at scale

This is how we make it possible

Edge Manager

Control your Edge infrastructure, without leaving your desk

Configure, update, and monitor your device fleet from a single control point. Security, licenses, templates, and real-time alerts.

Discover Edge Manager

Edge Orchestrator

Automate the deployment of DevOps and MLOps at scale

Orchestrate containers, services, and models with industrial DevOps and MLOps practices. Manage versions, rollbacks, and distributed execution in seconds.

Discover Edge Orchestrator

EDGE MANAGER

Configure, monitor, and update hundreds of Edge devices and their applications remotely. Create reusable templates to apply configurations quickly and consistently across your entire network.

License control

Link licenses with a renewal date to proprietary deployments to protect them and prevent the illegitimate use of algorithms under industrial property
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Heartbeat

Monitor the status of your deployed algorithms and software with periodic signals that alert you to any failure
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Interoperability

Connect to third-party systems through standardized APIs and communication modules
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Close the loop with the machine

Don't just monitor, you can also write commands to the control to execute automatic actions or display alerts to the operator
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EDGE ORCHESTRATOR

Deploy, version, and orchestrate AI models, services, and Docker containers with agility and full control. Automate the lifecycle of your industrial applications from a single environment, whether at the Edge, in the Fog, or in the cloud.

DevOps and MLOps control

Facilitate the implementation and optimization of proprietary and third-party applications across a large fleet of Edge/Fog/Cloud devices, ensuring agile and hassle-free management
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Standard architecture based on Docker

Architecture based on Docker containers that guarantees portability, efficiency, and scalability. Implementation and updating of services in a matter of seconds in Edge/Fog/Cloud environments, without friction or hidden dependencies.
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Total control of status and versions

Monitor in real-time what is deployed on each node, access centralized logs, and manage versions with complete traceability. Perform automatic rollback in case of failures to ensure continuous operation
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AI deployment in any environment

Launch analysis models and algorithms both at the Edge (next to the machine) and in the Fog or in the Cloud, depending on your use case
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Request a DEMO

Request a demo and discover how Edge management & orchestration works, with no commitment
Request a demo

Challenge:

A system integrator developed a predictive maintenance model for several industrial clients.

Solution:

Thanks to the Savvy EMO license management system, they were able to deploy the algorithm on the shop floor with a time-limited license linked to the end customer.
This enabled them to protect their intellectual property, prevent unauthorized use, and offer their solution as a service, with automatic renewals.

Result:

  • Algorithm protected against misuse
  • Licenses linked to specific deployments

Challenge:

A Savvy algorithm was detecting critical tool wear on a machine tool. However, it stopped running unnoticed, jeopardizing the ability to predict a breakage.

Solution:

When execution stopped, the Heartbeat system automatically detected it and alerted the client.
Thanks to this alert, the loss of predictive capability was avoided, and a planned tool change was carried out.
This resulted in a controlled 4-hour stop instead of an unexpected breakage and 4 days of downtime.

Result:

  • Planned intervention: 4 h
  • Downtime avoided: 4 days

 Challenge:

An industrial company already had a corporate MES system and cloud analytics tools. They wanted to integrate new shop floor systems without rebuilding their architecture or creating custom dependencies.

Solution:

Thanks to Savvy EMO's interoperability, they were able to integrate the environment without replacing anything: Edge data flows to their MES in real-time, while certain events trigger orders from their MES to the shop floor.
All via standard APIs, with no need for custom development.

Result:

  • Unified architecture without replacing existing systems.
  • Avoids custom development or vendor lock-in.

Challenge:

Cimico manages water treatment plants where operators used to manually adjust chemical dosing based on external data analysis, leading to process variability and operational dependency.

Solution:

Thanks to integrating Savvy EMO with their control system, AI algorithms not only analyze data in real-time but also automatically adjust chemical dosing based on water conditions.

Result:

  • Reduced reliance on manual intervention
  • Greater precision and operational autonomy

Challenge:

An automotive company integrated computer vision models for defect inspection on a production line. Deploying and maintaining these models across different plants required manual and error-prone processes.

Solution:

Thanks to Savvy EMO's DevOps/MLOps control, the technical team was able to package, deploy, and update these models across multiple Edge nodes directly from a central environment.
With full traceability and automatic rollback in case of errors, models are always kept in a secure and validated version.

Result:

  • Centralized model management across multiple locations
  • Reduced update times and errors

Challenge:

An integrator developed an energy data analysis solution for an industrial client but needed to replicate it in other environments without rebuilding it each time or relying on specific configurations.

Solution:

Thanks to Savvy EMO's Docker-based architecture, they packaged the entire stack as a container and deployed it to three other clients without modifying the code or adapting it to different environments.
This allowed them to offer their solution as a replicable product, reducing integration times and operating costs.

Result:

  • Deployment time: from weeks to hours
  • Same app deployed across Edge, Fog, and Cloud
  • No code changes between clients

Challenge:

A company was managing several raw material consumption optimization algorithms in chemical plants across Europe.
Detecting and correcting inconsistencies between deployments was complex and risky.

Solution:

Thanks to Savvy EMO's version control system, the team detected that one plant was running an outdated version of the model, causing deviations in results.
With a single click, they reverted the deployment to the validated version and synchronized all plants from a central environment.

Result:

  • Automatic rollback to validated version
  • Full traceability of deployment history

Challenge:

An aviation engine manufacturer needed to detect micro-deviations during the machining of critical parts, where an error could lead to the scrapping of components valued at over €200,000 each.

Solution:

They deployed an AI model on the Edge that allowed for real-time intervention before errors occurred.
They subsequently reused that same model in the Fog environment to analyze historical data and optimize the process globally.
All without rewriting the code, reusing the same model across the Edge and Fog with full traceability.

Result:

  • Losses avoided: €200,000 per unit detected
  • Real-time intervention from the Edge
  • Global optimization from the Fog