Innovation ecosystem to stimulate and promote the adoption of additive manufacturing (AM) technologies in strategic markets.
Abstract:
Leitat and a group of leading technological and business entities are working together on the Ecosistema GO! project, an innovative initiative aimed at stimulating and promoting the adoption of additive manufacturing technologies (3D printing) in strategic markets.
The main objective of the project is to connect technological supply with industrial demand, generating synergies between technology centres, companies and associations to accelerate the development of new projects and business opportunities.
The initiative focuses on the dynamisation of the industrial ecosystem through the identification of technological capabilities, the creation of a catalogue of specialised services, and the organisation of scouting, training and knowledge transfer activities that facilitate the incorporation of these technologies into industry.
It also includes the development of a collaborative digital platform that acts as a meeting point between the different agents of the ecosystem, enabling knowledge sharing, opportunity detection and the promotion of collaboration.
The project’s main innovation lies in the creation of a structured additive manufacturing ecosystem at a national level, capable of transforming technological knowledge into real value for companies, improving their competitiveness.
This development will contribute to boosting industrial innovation, improving the efficiency of production processes and advancing towards more sustainable and digitalised production models.
Leitat’s role in the project:
Leitat acts as coordinator of the Ecosistema GO! project, leading the ecosystem’s dynamisation, the management of activities and the connection between the different participating stakeholders.
Project Budget: 1.374.531 €
Financial Framework: Programa Ecosistemas de Innovación (CDTI)
Start Date: 01/04/2024
Leitat Budget: 228.903 €
Contract Number: ECO-20241003
End Date: 31/12/2025
Partners:
ECO-20241003 project funded by:



