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Artificial intelligence is often discussed through its most visible products, but the less visible work of building durable cooperation may determine how much value the technology creates for an economy. In Lithuania, VILNIUS TECH says an international AI cluster is moving into a new stage designed to turn contacts between universities, companies and public organisations into practical collaboration.
The development was outlined by VILNIUS TECH on September 23, 2026, following the SustAInLivWork Annual Summit in Kaunas. The university described the cluster’s next task as moving beyond the creation of a network and towards a functioning innovation community, where organisations can find partners, share knowledge, test ideas and prepare new research or business projects.
From membership to collaboration
The SustAInLivWork cluster currently brings together 38 organisations across eight sectors, according to VILNIUS TECH’s summit report. The wider mapping of the AI ecosystem has identified 101 potential organisations, including 68 international stakeholders. A separate university overview describes the cluster as involving more than 50 organisations, reflecting the fact that the network is continuing to develop and that different counts refer to different stages or parts of the initiative.
The distinction is important. A list of members can show the breadth of an ecosystem, but it does not necessarily demonstrate that businesses and researchers are working together. The cluster is therefore developing practical services intended to make participation useful beyond attendance at meetings or inclusion in a directory.
These services are expected to include tailored onboarding, expert consultations, support for pilot projects and partner matching through the SustAInLivWork Arena. The idea is to help an organisation with a specific problem identify the relevant researchers, data, infrastructure or commercial partner, rather than asking each participant to build those connections from scratch.
Linking research with real-world needs
VILNIUS TECH presents the initiative as a bridge between scientific work and application. Researchers may have a method, prototype or specialist competence but lack access to real operating data, testing environments or a first user. Companies, meanwhile, may have a technological challenge without knowing which research group or infrastructure could help address it.
The proposed model is intended to bring those needs together. Successful cooperation could lead to pilot projects, joint applications for European research funding, licensing opportunities, start-ups or longer-term partnerships between business and academia. These are objectives rather than results already achieved, but they offer a measurable direction for the cluster’s next phase.
The approach also reflects the structure of the wider SustAInLivWork project. The European Commission’s CORDIS project record describes the initiative as a Centre of Excellence in Lithuania focused on artificial-intelligence research and innovation for manufacturing, energy, health and transport. The project links four Lithuanian universities—Kaunas University of Technology, VILNIUS TECH, Vytautas Magnus University and the Lithuanian University of Health Sciences—with Tampere University in Finland and Hamburg University of Technology in Germany.
An economic story as well as a research story
For Lithuania, the significance lies in how research capacity is connected to companies and public services. AI expertise alone does not automatically produce new products, productivity gains or high-value jobs. Those outcomes usually require data access, testing, investment, skills and organisations willing to adopt solutions.
That makes the cluster’s emphasis on practical connections relevant to the country’s innovation ambitions. A functioning platform could reduce the time needed to find suitable partners and make it easier for smaller companies to access university knowledge. It could also help researchers understand commercial or public-sector needs earlier in the development process.
VILNIUS TECH says the cluster’s success should not be measured only by its size. A more meaningful test will be whether new links lead to concrete experiments, products, services, international projects or other forms of sustained cooperation. That is a constructive but demanding benchmark: the value of an innovation ecosystem is ultimately shown by what its participants manage to build together.
The next phase will therefore be less about announcing another network and more about proving that the network can remain active after individual events and funding programmes end. For Lithuania’s AI sector, that shift from visibility to practical use may be one of the more important developments to watch.
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