SIRIS ACADEMIC SL

Their core work

SIRIS Academic is a Barcelona-based technology SME specialising in research intelligence and data analytics for the higher education and research sector. They build systems that make complex datasets — particularly open research data — accessible through natural language queries, visual interfaces, and ontology-driven knowledge architectures. Their work sits at the intersection of semantic technologies, data integration, and user-facing analytics, translating raw institutional or public data into explorable knowledge. Practically, they help universities, research funders, and data-intensive organisations understand and navigate large, heterogeneous datasets without requiring technical expertise from end users.

What they specialise in

How they've shifted over time

In their earlier work (2017-2018), SIRIS Academic focused on ontology-based knowledge access specifically for the higher education and research sector — a relatively contained, domain-specific application of semantic technologies. By 2019, their participation in INODE marks a clear shift toward generalised open data exploration: natural language querying, visual analytics, and cross-source data integration applicable well beyond academia. The trajectory is a deliberate move from domain-specific knowledge tools toward broader, user-facing intelligent data platforms — suggesting growing ambition to serve any data-rich sector, not just research institutions.

SIRIS Academic is moving toward general-purpose intelligent data interfaces — organisations working with large open datasets, public data portals, or complex knowledge bases are natural future collaboration targets.

How they like to work

SIRIS Academic has both led and joined projects, showing comfort in either role, though their coordinator experience (OKHAERS) was a small, focused CSA-type engagement while their larger participation (INODE, EUR 519K) was as a partner in a research action. With only 8 unique partners across 2 projects, their consortium footprint is small and selective rather than broadly networked. This suggests they contribute as a focused technical specialist rather than a generalist consortium builder.

SIRIS Academic has collaborated with 8 unique partners across 5 countries — a modest but genuinely international network for a two-project portfolio. Their partnerships span both the Innovation and Security pillars, suggesting connections across the research analytics and data governance communities.

What sets them apart

SIRIS Academic occupies a rare niche: a private SME with hands-on experience in both semantic knowledge systems and intelligent open data exploration, anchored in the higher education and research analytics market. Unlike generic data consultancies, their EU project track record shows they can design and deliver academically rigorous, technically complex data access systems as part of international consortia. For a consortium needing a partner who bridges research methodology with practical data product delivery, they offer a credible and specialised profile.

Highlights from their portfolio

• INODE
  The largest project in their portfolio (EUR 519,250, 2019-2023), INODE tackled intelligent open data exploration using natural language interfaces — a high-ambition RIA that places SIRIS Academic at the forefront of making complex datasets accessible to non-technical users.
• OKHAERS
  As coordinator of this 2017-2018 project, SIRIS Academic led the design of an ontology-based knowledge access system specifically for higher education and research — demonstrating early leadership capability and domain authority in research intelligence.