Innovation R&D

Throughout our trajectory, we have initiated research and development projects that have introduced new tools and transformed processes in companies and institutions.

Due to our commitment to innovation and as a result of market research and needs detection, in recent years we have developed an extensive range of products and expanded our services in line with the rapid evolution of Information Technologies, always seeking the most effective, competitive, and innovative solutions. To achieve this, we collaborate and enter into agreements with technological centers and leading companies internationally.

Innovation and continuous improvement are key concepts in our organization as they are part of our vision and values, and the application of innovative solutions is a fundamental expectation of our clients.

“Our mission is to contribute to the business strategy of our clients, helping them increase their competitiveness and productivity through the development of innovative technological solutions”

Highlighted R&D Projects


Increase the adoption of AI in the industry through the application of the MLOps paradigm and the development of tools based on microservices architecture, integrated with various corporate solutions, covering different phases of the lifecycle in an AI project.

  • In the face of a scarcity of relevant data, synthetic data will be generated, and suitable architectures will be developed to avoid domain gap in synthetic data.
  • Take a technological leap in the concept of methodology and reference architectures for the automatic deployment of models and analytical pipelines in Edge-fog-cloud infrastructures.
  • Development of algorithms to automatically detect and measure drift in the prediction and distribution of data from models in production.
  • Development and adaptation of explainability techniques for time series models for machine manufacturers (Biele, Soraluce) and end-users (Goimek), tailored to production user profiles.
  • Explainability techniques integrated into the complete workflow of AI models, with the development of software applications providing visual and semantic explanations and graphics for AI models.
  • Use of few-shot learning techniques for the inclusion of a new data typology in continuous learning.
  • Have a workflow for use cases that allows addressing all stages of an AI model.


The objective of the project is to research and develop technologies for new comprehensive solutions for eBIKEs and eTRIKEs aimed at private users, but especially at new emerging business models around sustainable and CO2-neutral micromobility. All of this involves implementing innovative technologies in the field of pedal assistance, as well as safety and comfort for cyclists.

Furthermore, through a communication module, information about the position and status of eBIKEs and eTRIKEs will be provided to fleet management systems and operational and maintenance (O&M) systems for eTRIKEs and eBIKEs.

These management systems will, in turn, implement optimization algorithms and even quantum computing to provide advanced functionalities to various aspects of micromobility, such as last-mile delivery.


The TRAZASTOCK project aims to implement a comprehensive system that enables intelligent flow control and traceability, as well as the digitization of processes in large warehouses and infrastructures. This allows for covering and managing the entire process chain, monitoring the indicators of each process, and managing times, alarms, and actions (support mechanisms for decision-making).

This control and traceability will be carried out in three vertical application blocks – vehicle traceability, goods traceability (stock control), and optimization of internal management – and a fourth cross-cutting block, focusing on the impact that the operations of movement and storage of goods have on environmental conditions.

The consortium that has launched TRAZASTOCK is also composed of the entities Teknei – project leader –, the Mobility and Logistics Cluster of Euskadi, Estibadora Algeposa, Ikusi, Irontec, Profersa, Railsider, Sidenor, and Siderex-Steel Cluster of Euskadi. Additionally, it has the participation of agents from the Basque Network of Science, Technology, and Innovation, including Ceit, Sidenor I+D, Tecnalia, and Vicomtech.

ORKESTA - Comprehensive Solution for Orchestration of Socio-Health Services and Care at Home

ORKESTA is a strategic project born with the aim of addressing the challenge of the aging society in the Basque Country. It involves conducting fundamental research and development in a wide range of high-impact technologies to enable the future development of solutions that guarantee both the improvement of care for the elderly and the sustainability of long-term care.

To achieve this, ORKESTA proposes a comprehensive set of research and development actions in key technologies such as natural language voice interaction, cognitive vision, the Internet of Things, cybersecurity, advanced biometrics, and artificial intelligence and data analysis. These technologies will lay the foundation for an innovative solution that will enable the development of a new model for the provision of long-term care.

Teknei is responsible for the core system in ORKESTA, which enables the management of identities through advanced biometrics for the elderly, their close circle of informal care, and all professionals involved in the care ecosystem. This allows them to report, trace, and collectively contribute to the proper execution of the Multidisciplinary Care Plan for each elderly individual.

EMPHASIS - Empowering decision making with higher productivity by means of HyperAutomation based solutions


The objective of this project is to move the back-office towards what has been termed HyperAutomation or Cognitive Automation, which involves integrating AI with RPA solutions.

The integration of speech and natural language processing technologies will allow the structuring of previously unstructured content, such as documents (invoices, delivery notes, deeds, building permits, municipal licenses, etc.) without the need for an associated template, or calls (in call centers, for example).

The goal is to convert all that content (documents and calls) into data, enabling its management, analysis, and optimization of associated processes to progress in a real digital transformation.

Project Information Poster


This project aims to develop, validate, and demonstrate a new methodology for monitoring and evaluating air quality and noise based on an Artificial Intelligence (AI) tool. The goal is to create a tool that integrates all the functionalities of different tools into a comprehensive single development, and validate it with a small-scale pilot in a real context, such as Vitoria Gasteiz.

Healthy young Asian runner woman warm up the body stretching before exercise and yoga near lake at park under warm light morning. Lifestyle fitness and active women exercise in urban city concept.


RICVAS offers a new product for the capture, management, and exploitation of data based on Machine Learning techniques, speeding up implementation processes and reducing costs. This allows Small and Medium Enterprises access to technology that can result in business benefits.

Hand using laptop computer with virtual screen and document for online approve paperless quality assurance and ERP management concept.


DISTRA aims to develop a tool based on artificial intelligence to represent and predict temporal disease trajectories, allowing us to anticipate diseases in patients previously diagnosed with another condition. With this tool, clinicians will be able to intervene in advance, potentially reducing complications and even preventing the development of a second disease caused in some way by the precursor.

Physician noting down symptoms of a patient


RESIL-IA represents line No. 3 'Embedded and Edge Acceleration.' It is a strategic project incubated and coordinated through the collaboration of three powerful technological centers that share a vision and thematic specialization: Tekniker, Ikerlan, and Vicomtech. The specific objective is to contribute to mitigating business dependence on artificial intelligence applications at the edge, regarding the platforms where they are deployed and executed. This, in turn, helps reduce their dependency on external solutions and systems.

low angle view of skyscrapers in city of China.


The CityMove project has the overall goal of researching Smart City Mobility Platforms to facilitate the interoperability of services with decentralized identification. This platform interoperability will enable the creation of higher value-added services for commercialization in various administrations and operators.

Futuristic smart city with 5G global network technology

BIM DOC – Collaborative cloud platform for semantic document management of BIM processes

Logotipo BIMDoc

The main objective of the BIMDOC project is the development of a Collaborative BIM Platform in the cloud, acting as an integrator between BIM software for building and asset modeling and management, and document management platforms.

The software ecosystem on both sides is extensive, making it unfeasible to implement integration mechanisms for any combination of systems within the project, and it also has limited market potential. Hence, the project opts for open standards. In the case of BIM, the reference standard is IFC, which is an exchange format containing the geometric and semantic information of an asset (mainly a building).

On the other hand, in the Document Management field, there is the CMIS standard, which provides an abstraction layer for different document management systems to exchange information regardless of the internal structure or database each one uses. Therefore, the solution to be developed should be based on the proper interaction between IFC and CMIS, with the IFC model linking different elements and aspects of the building to related files (spreadsheets, PDFs, etc.).

OSASUKAT – Blockchain for Medical Record Registration

Logotipo de Osabukat. Plataforma de blockchain para el registro interoperable del historial médico

OSASUKAT is a platform for managing patients' Electronic Health Records that allows, in an interoperable manner, the integration of information from different data sources. It also provides services to facilitate access to that information for professionals in terms of privacy and confidentiality.

DDO-CONVERTER - System for automated document migration between different document management technologies

DDO Converter ilustración

DDO - COVERTER is a system that enables the automated conversion of formats between different platforms and technologies for generating and managing documents in the Customer Communications Management (CCM) domain.

CCM refers to a set of software tools that allow organizations to create, customize, and deliver communications to their customers efficiently and independently of the communication channel.

Currently, there are numerous applications in the market for document generation, many of which, despite having a large installed base, have become obsolete or do not meet the requirements that end customers have regarding document creation.

Many of these end customers, primarily companies in the financial and utilities sectors, for whom document generation and management are key elements in their customer relations, show interest in changing platforms. The main reasons for the change include performance issues, functionality (multichannel, logic integrated into documents, etc.), and, in some cases, support.

The main challenge in undertaking the change is the cost associated with migrating large volumes (on the order of thousands) of documents or forms designed in the old tools to a new platform with more functionality and better performance and support.

DDO Converter makes it possible to undertake a migration project for print forms:

  • Eliminates dependency on the current vendor
  • Drastically reduces project timelines
  • Allows the choice of any new platform that supports the XSL:FO standard

Volatile Fatty Acids – VOLATILE

Logotipo de Volatile

VOLATILE aims to revalorize municipal solid waste and organic waste from industries by bioconverting the fraction into Volatile Fatty Acids and obtain value-added products such as PHA biopolymer to be tested in material applications, single cell oil as a precursor for oleochemical industry as well as long chain unsaturated Omega-3 health promoting fatty acids to be used as food ingredients or nutraceuticals.

Our task is to develop and integrate in a web platform the agent-based model (MBA) of the project, a type of computational model that allows the simulation of actions and interactions of autonomous individuals within an environment, and allows to determine what effects they produce in the system as a whole. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. The models simulate the simultaneous operations of multiple entities (agents) in an attempt to recreate and predict the actions of complex phenomena.

MAMOSINTESIS – Breast cancer diagnosis aid

The overall objective of the MAMOSINTESIS project is the development of a diagnostic aid tool (CAD) to reduce the number of false positives and negatives and unnecessary biopsies in the diagnosis, obtaining a 3D spatial view of microcalcifications to improve the quality of care in the early diagnosis of breast cancer and providing the medical specialist with additional patient data to assist in the diagnosis and treatment.

mamografía tecnología

THINKINDUSTRY! Intelligent Management of Knowledge through Critical and Creative Thinking

ThinkIndustry! is a platform that allows professionals to: acquire knowledge about new production technologies from a critical thinking methodology that transforms their perspective from users or operators of production systems to creators and innovators of new products or processes, and incorporate into their management and decision-making tasks methodological processes that provide support from the knowledge gathered from their experience.

Logotipo thinkindustry!

eHEALTH Weareable device for diabetic foot monitoring

The project consists of the development of a Wareable device in the form of a "sock" that by means of a Doppler sensor can collect information on blood flow in the lower extremities, which connected via Bluetooth to a Smartphone or Tablet sends the information collected for processing and analysis, identifying in advance situations of risk to the patient's health, and avoiding, as far as possible, the occurrence of ulcers and, ultimately, the need for amputations.

Ordenador lenovo con gráficos. Tecnología.

ETXEMED Ensure patient adherence to pharmacological treatment.

The aim of the Etxemed project is to develop a system (APP and web application) that guarantees the traceability of therapeutic compliance, generating the activation of the agents involved in the person's health process and the undertaking of corrective actions, in some cases of an urgent nature, and/or the modification of behaviors in the event of poor adherence to treatment.

organizador de pastillas.

FACTORY COLECTIVO Software Industrialization through Innovation in Engineering Processes

The COLLECTIVE FACTORY project aims to increase the competitiveness of a group of companies representative of the local ICT sector in the Basque Country through the design, development and implementation (pilot experience) of an industrialization model through engineering processes: continuous integration, design/architecture and verification/validation.

fábrica extendida: procesos colaborativos, ingeniería, frameworks tecnológicos...

MUGISIKA Interactive music therapy system

Mugisika is an interactive system that allows to recognize body movements for the management of music and generate sounds according to these movements for use in therapies with people with intellectual disabilities or other integration problems.

The main objective of the system is to favor the expression and communication of the users, in this case people with autism.

MUGISIKA Sistema interactivo de musicoterapia

Other R&D Projects

  • Process Improvement through project management for software companies (2009-2010)
  • CDE: Digital certification of companies (2009-2010)
  • SOSFARMA: Development of sustainable technologies for pharmaceutical products and processes (2009-2010)
  • eLKARLAN: Development of an inter-company cooperation maturity model (2009-2010)
  • COMPETIC III: CMMi software process improvement, through continuous model Level 3 (2009-2010)
  • EMSIME: Integrated Museum Management System (2008-2009)
  • ECM: Integrated document management system (2008-2009)
  • SOFGESTEC: Development of an expert software for the improvement of efficiency in business and technology management (2008-2009)
  • COMPETIC I: Implementation of the CMMi Model (2007)
  • SIBOL: Electronic bulletin system (2007)
  • Q-TIC: Customer Value Added Management (2006-07-08)
  • MODINNO: SW process innovation with models (2006-07-08)
  • ARGES: Computerized archive management system (2004-05)
  • Social Diagnosis Tool (2005)
  • Advanced Framework for SW development in J2EE (2003-05)
  • VISNET: Digital Processing of Technical Documentation. Through advanced electronic signature (2002-06)
  • EXCOGE: Business Knowledge Exploitation System (2002-03)
  • EkoProducto : Buying and selling portal (2000)
  • Collaboration with Red RETEL for the management, Transmission and Exchange of Knowledge (2000)
  • GESTINNO: Solution for innovation management (2000-01)
  • Occupational risk evaluator (2000)
  • INSIGE: Management systems integration solution (1999)
  • Intelligent Internet Search Agent (1998)