SciTransfer
Organization

RESEARCH FOR SCIENCE, ART AND TECHNOLOGY (RFSAT) LIMITED

Irish research SME applying simulation, GNSS, and AI analytics to climate resilience and precision agriculture across European consortia.

Research instituteenvironmentIESMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€871K
Unique partners
22
What they do

Their core work

RFSAT is a small Irish research SME that applies simulation, data analytics, and decision-support methodologies to complex real-world problems. Their work spans from assessing the vulnerability of historic built environments to climate hazards, to deploying GNSS-enabled precision agriculture systems driven by AI and big data. They contribute domain knowledge and analytical tools within larger research consortia rather than leading projects independently. The breadth of their two projects — heritage resilience and smart farming — suggests a consultancy-style research capacity that can be applied across sectors wherever modelling, risk assessment, or integrated sensing technologies are needed.

Core expertise

What they specialise in

Climate vulnerability and resilience assessmentprimary
1 project

In ARCH (2019-2022), RFSAT contributed to vulnerability assessment, simulation, and pathway approaches for protecting historic areas against climate-related hazards.

Precision agriculture and GNSS-based farm managementprimary
1 project

In AgriBIT (2021-2024), RFSAT worked on GNSS applications, integrated farm management, and big data analytics for AI-driven precision farming.

Decision support systems and simulation modellingsecondary
2 projects

Decision support and simulation appear as explicit keywords in ARCH, and big data analytics in AgriBIT, pointing to a recurring modelling and decision-tool competency across both projects.

Cultural heritage risk and standardisationsecondary
1 project

ARCH involved tangible and intangible cultural heritage protection alongside standardisation work, indicating familiarity with heritage sector frameworks and regulatory alignment.

Big data and AI integration for environmental monitoringemerging
1 project

AgriBIT's keyword set — big data analytics, AI, GNSS — reflects a more recent pivot toward data-intensive, technology-driven environmental applications.

Evolution & trajectory

How they've shifted over time

Early focus
Climate resilience, heritage risk assessment
Recent focus
AI precision agriculture, GNSS analytics

In their first project (ARCH, 2019), RFSAT was focused on qualitative and semi-quantitative methods — vulnerability pathways, simulation, public engagement, and standardisation — applied to the heritage and climate resilience domain. By their second project (AgriBIT, 2021), the vocabulary had shifted entirely toward precision technologies: GNSS positioning, AI, integrated farm management, and big data pipelines. This suggests a deliberate move from risk-assessment methodologies toward data-driven, technology-integrated applications, possibly tracking client demand or consortium opportunities rather than a single long-term research agenda.

RFSAT appears to be moving toward data-intensive, technology-enabled applications — particularly AI, GNSS, and big data in agriculture and environmental management — which positions them as a potential partner for smart-land-use or agri-tech consortia in the near term.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European7 countries collaborated

RFSAT has participated in both projects as a consortium partner, never as coordinator, which is consistent with a small research SME offering specialist analytical input rather than driving project leadership. Their average consortium size implies they operate within mid-to-large multi-partner consortia spanning multiple countries. The shift in topic between their two projects suggests they seek out diverse collaborations rather than building a fixed long-term network with the same partners.

Across two projects, RFSAT has worked with 22 unique consortium partners across 7 countries, a relatively broad international footprint for an organisation of their size. Their network spans both environment/climate and agri-tech ecosystems, suggesting they are comfortable operating in diverse European research communities.

Why partner with them

What sets them apart

RFSAT occupies an unusual niche as a micro research SME that bridges two quite different application domains — climate resilience of built heritage and AI-driven precision farming — through shared competencies in simulation, data analytics, and decision support. For consortium builders, this cross-domain flexibility means RFSAT can add analytical rigour and decision-tool expertise in areas where larger institutes may be over-specified. Based in Dublin, they also provide Irish institutional coverage for consortia requiring geographic spread across EU member states and associated countries.

Notable projects

Highlights from their portfolio

  • AgriBIT
    Their highest-funded project (EUR 476,125), combining GNSS, AI, and big data in an Innovation Action — a more applied and commercially adjacent project type that signals readiness to work toward market-ready solutions.
  • ARCH
    Demonstrates capability in the niche intersection of climate adaptation and cultural heritage protection, a growing EU funding priority under climate and culture programmes.
Cross-sector capabilities
agriculture and food systemscultural heritage and built environmentsecurity and disaster risk reductionspace applications and satellite navigation
Analysis note: Profile is based on only 2 projects spanning 2019-2024, with no website, VAT, or supplementary organisational information available. The apparent thematic shift between projects may reflect opportunistic consortium participation rather than a genuine strategic pivot. All expertise claims are grounded in project keywords and titles only — no deliverables or report summaries were available for deeper validation. Treat this profile as indicative rather than definitive.