EDNON labs_ research


At EDNON labs_ we invest in research and development projects. Our goal is to generate significant technological competitive advantages.

The goal is to allow us to differentiate ourselves from our competitors, adding differential value to our solutions and services.


EDNON labs_, in terms of research, cannot be separated from the level of innovation. It must respond to the needs identified and validated in the innovation funnel. As a direct consequence of the identification of an unresolved problem in our target markets.


In the execution of our investments in R&D we always use a collaborative strategy. This is an integral part of our business culture. We therefore rely on:

  • specialized knowledge centres.
  • as industrial partners that complement us.
  • and some of our top customers.


Reference R+D partners in our projects
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Title: Analytical System of Aggregate Performance of Workers and Robots in Manufacturing Operations (SARATROF)

Call: Connect Hubs 2021

No Dossier: IN852B 2021/16


Home / End: May 2021 / April 2023

The SARATROF project (Analytical System of the Aggregate Performance of Workers and Robots in Manufacturing Operations) aims to create an analytical tool to characterize the performance of factories by considering the behaviour of robots in an aggregated way, machines, IT systems and the workers themselves, with the aim of increasing the competitiveness of production. The review of the state of the art indicates that this type of aggregation is entirely new, and the consortium will try to validate its real value through experiments deployed in a pilot.

The general objectives of this project are therefore:

  • Implement a metaplatform for the integration and automation of data analysis processes from various platforms. This system will form the basis on which data from different silos can be shared and research and develop the data and analytical science needed to calculate cross-insights.
  • Investigate combined AI and ML models for complex insights that allow interrelationships to be established across the various layers of the production process.

This collaborative project is part of the Connect Hubs 2021 program. This is a programme subsidised by the Galician Innovation Agency (GAIN) with financial support from the European Union (co-financed by ERDF funds under the operational programme Feder Galicia 2014-2020). In addition, it receives the support of the Second Vice Presidency and the Ministry of Economy, Enterprise and Innovation of the Xunta de Galicia.

Financed by:

Una manera de hacer Europa

Financed by:

EDAR 360

Title: Research in artificial intelligence in federated architectures to improve the control, optimization and comparison of wastewater purification processes and validation through a test of concept (EDAR 360)

Call: Connect Hubs 2021

No Dossier: IN852B 2021/14


Home / End: May 2021 / April 2023


The main objective of the WWTP – 360 project is to investigate Artificial Intelligence techniques in federated architectures in order to achieve the optimization of Wastewater Purification Processes and the Securization of Linked Physical Cyber Systems, validating the components developed through a proof of concept in a multiplanta environment with several Wastewater Treatment Stations.

The innovative solutions developed under this project will be validated in different facilities operated by Viaqua in order to ensure the replicability of the results obtained.

EDAR360 is aligned with one of the major strategic challenges of the water sector, marked by the European guidelines, undertaking its modernization through the development of digital technological solutions that guarantee optimal sanitation management.

This collaborative project is part of the Connect Hubs 2021 program. This is a programme subsidised by the Galician Innovation Agency (GAIN) with financial support from the European Union (co-financed by ERDF funds under the operational programme Feder Galicia 2014-2020). In addition, it receives the support of the Second Vice Presidency and the Ministry of Economy, Enterprise and Innovation of the Xunta de Galicia.

Financed by:

Una manera de hacer Europa

Financed by:


Title: Computer-Assisted Robotic Operator Layer (CAROL)

Call: Challenges-Collaboration, call 2018

No Dossier: RTC-2017-6542-7

Consortium: EDNON (leader) and GRADIANT (partner)

Home / End: January 2018 / December 2020

The central objective of the CAROL project is:

Build an intelligent and automated support platform for data center management: CAROL. This platform seeks to provide the following two main functionalities:

1) Ability to perform prescriptive analytics from the permanent monitoring of the elements that make up a data center.

2) Assistance 24 7 to users or customers of the data center through an intelligent agent in order to guarantee an immediate attention that allows solving incidents in an agile and efficient way.

The CAROL project has been financed by:

The Ministry of Science, Innovation and Universities and the State Research Agency, through the 2018 Challenges-Collaboration Call of the State Program for Research, Development and Innovation Oriented to the Challenges of Society, within the framework of the State Plan for Scientific and Technical Research and Innovation 2013-2016.

Co-financed by the European Regional Development Fund (ERDF).

Financed by:


The PROMETHEUS project: IIoT platform for safe and sustainable manufacturing in distributed environments aims to develop an industrial HW/SW platform based on the paradigm of the Internet of Things (IoT, Internet of Things) and Big Data technologies.

PROMETHEUS will design a service-oriented architecture, which will allow monitoring in real time (capturing information from various sources such as sensors, machines, etc.) several different manufacturing centers belonging to the same group, considerably improving communication between geographically separated factories or departments through the horizontal, smooth and secure exchange and operation of information.

The objectives of this platform will be:

– Improve energy efficiency, optimising management and minimising costs related to the energy consumption of factories during their daily activities, as well as ensuring sustainability and environmental efficiency of the manufacturing process.

– Intrusion detection and security. Through advanced machine learning techniques, strange patterns or behaviors will be identified in the industrial network infrastructure, allowing early and real-time detection of anomalous events and/or threats.


The project involves companies:


Supported by the GRADIANT Technology Centre as a research organisation´.

The PROMETHEUS project has been subsidized by the Galician Axencia of Innovation (GAIN), with the support of the Consellería de Economía, Emprego e Industria de la Xunta de Galicia, through the calls for aid for 2018 of the Conecta Peme program, with file No IN852A 2018/66, co-financed with the ERDF Fund of the European Union within the operational programme OP ERDF 2014-2020 “A way to make Europe”. It has been with the main objective OT1 “Promote technological development, innovation and quality research”.


This Project has File No TSI-101000-2017-7.

It has been financed by:

The Ministry of Energy, Tourism and Digital Agenda.

In addition, it has been carried out through the Strategic Action Economy and Digital Society (AEESD) call, within the National Plan for Scientific Research, Development and Technological Innovation 2013 2016, and has been co-financed with the ERDF fund of the European Union.


The objective of the ELIIoT project:

It is the design and development of a platform for advanced monitoring of equipment and production processes in an industrial manufacturing plant.

The system consists of an Edge Gateway. It has the ability to analyze data in real time, which acts as a hub collecting information at the plant level and transmitting the data to an application deployed in the cloud.

The ELIIoT project therefore has two main pillars:

  • Connectivity and efficient exchange of information. It is carried out through the application of new communications technologies (IoT paradigm, cyberphysical systems, etc.)
  • The existence of a flexible and data-centric computing infrastructure (Big Data, Data Analytics).

In short, from these elements, the ELIIoT project will build an innovative system for the deployment of new services that generate added value in the business layers. It is done by exploiting all information collected at the plant level, contributing substantially to the modernization and development of the connected industry.

Financed by:

logo UE


Case No IDI-20161050.

Main objective

The MINTICC project (Modernization of the Industrial Sector through Technologies for Container-based Computing Infrastructures) aims to simplify the management of hyperconverged infrastructures and the life cycle of the services deployed on them.

The aim is therefore to provide a management service for these infrastructures to a very large number of small customers. Estes are industrial with a limited number of system and network administrators.

To this end, tools are provided to:

  • simplify management.
  • to automate the work as much as posible.
  • and reduce the use of resources.

The aim is to be able to fit in with the type of customers to whom the service is intended.

Place, time limit and budget for implementation:

Place of execution: Ednon offices in Santiago de Compostela (Rúa Monte dos Postes nº 6 – bajo) and Vigo (Calle Colón nº 28 – 7º B)

Lead time: 01/12/2016 – 30/11/2018

Budget: 372,131.00 €

It has been financed by:

The Ministry of Economy, Industry and Competitiveness and the Center for Technological and Industrial Development (CDTI) through the call for Research and Development Projects (PID) and within the Operational Program for Intelligent Growth 2014-2020.

The aim is to boost research, technological development and innovation, co-financed by the European Union’s ERDF.


The HOSPITEC project aims to:

Simplifying and automating the management of infrastructure and hospital services by developing specific cloud nodes (appliances).

HOSPITEC will provide technologies. These will allow a simple and automated installation of hospital software. This will make it accessible from different locations and devices, minimizing your installation and maintenance costs.

To demonstrate its usefulness in a real scenario, HOSPITEC will be validated through a use case that will adapt a hospital services software. It will be available not only for patients (one software per bed) but also visits (provision of Software as a Service – SaaS).

The project involves companies:

  • EDNON, acting as leader, and QUANTION.
  • Counting on the support of the GRADIANT Technology Centre as a research organisation.

The HOSPITEC project has been financed by the Galician Innovation Agency (GAIN).

With file No IN852A 2016/104.

It has been through the calls for grants of conectaPEME year 2016.

It has been co-financed with the European Union ERDF Fund under the OP ERDF operational programme 2014-2020 “A way to make Europe“. It has been with the main objective OT1 “Promote technological development, innovation and quality research“.


R&D project financed by:

By the Industrial Technological Development Center (CDTI) with file nº ITC-20151176 through the call for grants INNTERCONECTA 2015.


What is your goal?

It aims to develop the prototype of an integrated Big Data platform that allows real-time analytics tasks to be performed, and to apply it, for example,

  • automatic monitoring of network elements and root cause analysis (RCA) in data centers.
  • to the supervision and analysis of business IT processes (Process Mining)
  • or detecting intrusions and attacks on IT infrastructures.


In addition to EDNON:

  • the SEIDOR companies.
  • and OPTARE SOLUTIONS (consortium leader).
  • Supported by the GRADIANT Technology Centre as a research organisation.

Financed by:



The SIMPLIFY project aims to:

Offer tools to support the educator to help him better understand the learning process and the problems of his students. The aim is to devote less effort to more routine supervision tasks and to provide a learning reinforcement mechanism.

SIMPLIFY seeks to measure the student’s learning progress by applying techniques specific to the fields of learning analytics and psychometry. The system continuously analyzes the data produced by students in their interaction with the educational environment and generates a visual model of the student.

The consortium to be carried out by SIMPLIFY, led by EDNON, is completed with the company OCEANO and the technology center GRADIANT.

This project has file number RTC-2015-4329-7.


It is financed by:

The State Secretariat for Research, Development and Innovation, through the call Challenges of Collaboration of the State Program of Research, Development and Innovation oriented to the challenges of the Society. It is within the framework of the State Plan for Scientific and Technical Research and Innovation 2012-2016.

Has been co-financed with

The ERDF Fund of the European Union, with the main objective of “Promoting technological development, innovation and quality research“.


R&D project financed by:

For the Industrial Technology Development Centre (CDTI)

It has file nº ITC-20133047 through the call FEDER-INNTERCONECTA of the year 2013.

What is the objective of ATHENA-I?

  • Create a cloud architecture capable of delivering adaptive and predictive analytics capabilities
  • on a set of unrelated data sources
  • with information from students, in a transparent manner
  • and a Learning Management System (LMS).

ATHENA-I offers a technological solution linking two “information islands” within the educational field, institutional LMS and student administrative management systems (SIS).

The project addresses interoperability and standardisation in the field of e-learning, capture and secure storage of educational data. In the same way as the analysis of such data, both algorithmic and visualization tools.

So, ATENEA-I offers a tool to help the teacher that facilitates the monitoring, personalization and, fundamentally, the decision-making related to the educational experiences that it designs for its students.

Financed by:



R&D project supported by:

The General Secretary for Modernization and Technological Innovation of the Xunta de Galicia.


For what purpose, sir?

With the aim of developing a technological education platform for nursing personnel, based on mobile multimedia devices and augmented reality. It is done through which nursing staff can easily adapt to new work procedures, renew and evaluate their knowledge, strengthen their confidence and facilitate their specialization.

The project was developed in collaboration with:

  • the University Hospital Complex of Santiago (CHUS)
  • the GRADIANT Technology Centre
  • Group of Engineering and Telematic Systems (GIST) of the University of Vigo.

Financed by:


R&D project financed by:

The Ministry of Science and Innovation, with file No IPT-2011-1076-900000, through the call INNPACTO 2011.

The overall objective of PRISMED

It is the generation of new advanced cryptographic technologies to increase reliability in e-Health infrastructures and services. And to enable the use of powerful data outsourcing and processing tools, such as cloud computing, in a secure and reliable way in e-health services.

To this end, the project integrates a balanced consortium of technology partners, research organisations and end users (health entities). In this way, the proposed objective is pursued in a rational and effective manner.

The aim is to take into account all entities involved in the development and use of cutting-edge e-health technology.

The main aspect considered in this project

It is the privacy protection of sensitive data, being crucial in e-health services. Thus, the technologies developed are oriented to cover this aspect in two representative scenarios:

  • collaborative analyses, studies and diagnostics on sensitive data in secure databases; and
  • Cloud computing with clinical data.

Financed by:


R&D project financed by:

For the Galician Axencia of Innovation through the call for Sectoral Programmes PEME R&D and SUMA R&D of the year 2010.

Its main objective

It was the development of mobile technologies for cheaper, more efficient and high value-added staff training.

It is intended for industrial production companies for automotive, which are characterized by being highly dynamic. Specifically it combines as basic technologies mobile devices, voice recognition and augmented reality.

Financed by:


R&D project financed by:

The Industrial Technology Development Centre (CDTI) with file No ITC-20133051 through the FEDER-INNTERCONECTA call for 2013.

The objective of MEIGA has been

Generate a digital marketing systems automation solution that enables targeted campaigns based on leads profiles.

In other words, the objective has been to find small groups of users, or even to perform an individual segmentation. All this with the maximum guarantees of success in the correspondence between the content offered and the current interest of the recipient.

Financed by:



R&D project financed by

The Industrial Technology Development Centre (CDTI) with file No ITC-20133037 through the FEDER-INNTERCONECTA call for 2013.

The objective of the project

It is the development of technologies to optimize and make flexible the configuration of project teams, providing the human team that best suits the needs of the project.

To this end, account shall be taken of:

  • the talent and different types of skills (technical, managerial, personal, etc.) of professionals
  • the characteristics of existing projects and their clients
  • etc.

In this way, the cost will be optimized and the results of the projects will be maximized, providing only the necessary and most appropriate resources for your needs at all times.

It will also increase the quality of projects, and the satisfaction of professionals, customers and users.

Financed by: