SciTransfer
Organization

APPLIED INTELLIGENCE ANALYTICS LIMITED

Irish analytics SME applying intelligence methods to security, policing reform, and critical infrastructure resilience across European consortia.

Technology SMEsecurityIESMENo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
€287K
Unique partners
31
What they do

Their core work

Applied Intelligence Analytics is an Irish SME that applies data analytics and intelligence analysis methods to public security challenges. Their H2020 portfolio shows two distinct but complementary angles: using analytical tools to support policing reform in post-conflict environments (ICT4COP), and developing measurable resilience indicators for smart critical infrastructures such as energy grids, water systems, and transport networks (SmartResilience). The company name itself signals their core offer — translating complex, ambiguous security situations into actionable intelligence through structured analysis. They enter large European research consortia as a specialist contributor, likely providing the analytical methodology and tooling that policy-heavy or academic-heavy teams lack.

Core expertise

What they specialise in

Security analytics and intelligence methodsprimary
2 projects

Both ICT4COP and SmartResilience are security-pillar projects where analytical modelling of threats, behaviours, or indicators is central to the work.

Critical infrastructure resilience assessmentprimary
1 project

SmartResilience (EUR 202,875) focused specifically on developing smart resilience indicators for critical infrastructures against multiple hazard types.

Community policing and post-conflict securitysecondary
1 project

ICT4COP addressed community-based policing reform in post-conflict settings, implying expertise in socio-security analytics and police-community data frameworks.

Resilience indicator design and measurementsecondary
1 project

SmartResilience required designing quantifiable indicators, suggesting competence in KPI frameworks for complex systems under stress.

Evolution & trajectory

How they've shifted over time

Early focus
Community policing and conflict analytics
Recent focus
Critical infrastructure resilience indicators

Both projects were initiated in a narrow 2015–2016 window, so direct temporal evolution is limited. However, even within this short span a directional shift is visible: ICT4COP (2015) sits in human-centred, policy-oriented security — community relations, conflict aftermath, institutional reform — while SmartResilience (2016) moves toward technical infrastructure protection and quantitative resilience modelling. This suggests the organisation was pivoting from social/governance security analytics toward hard-infrastructure and systems-level security work. If that trajectory continued beyond H2020, they are likely now deeper in the smart infrastructure, cyber-physical security, or resilience engineering space.

Their trajectory points from social-security policy analytics toward technical resilience assessment for smart infrastructure systems — a direction that has only grown in strategic relevance since 2016.

Collaboration profile

How they like to work

Role: specialist_contributorReach: European13 countries collaborated

Applied Intelligence Analytics has participated exclusively as a consortium member, never as coordinator, across both projects. Despite coordinating zero projects, they have accumulated 31 unique partners across 13 countries — a partner density that signals they join large, internationally diverse consortia rather than tight bilateral arrangements. This profile is typical of a specialist SME that is brought in for a specific analytical capability rather than for project management or infrastructure hosting.

With 31 unique consortium partners spread across 13 countries from just 2 projects, their network is disproportionately broad for their project count — both ICT4COP and SmartResilience were large multi-partner RIA actions. Their European reach likely spans universities, public authorities, and security agencies across Central and Eastern Europe as well as Western Europe, consistent with the geographic scope of those two projects.

Why partner with them

What sets them apart

Most security-sector H2020 participants are universities, large defence contractors, or public agencies — Applied Intelligence Analytics is a rare Irish SME operating in this space, offering the agility and applied focus that larger institutions struggle to provide. Their positioning at the intersection of data analytics and security policy gives them credibility with both technical teams (who need rigorous methods) and policy teams (who need interpretable outputs). For a consortium builder, they fill the "applied analytics SME" slot that many security projects require but few Irish or even Western European SMEs occupy.

Notable projects

Highlights from their portfolio

  • SmartResilience
    Largest project by funding (EUR 202,875) and directly addresses a topic — resilience of smart critical infrastructures — that has become a top EU policy priority since 2016, making this work highly referenceable.
  • ICT4COP
    A five-year project (2015–2020) on community-based policing reform in post-conflict regions — an unusual and socially significant topic that demonstrates the organisation's capacity to operate in sensitive, politically complex security environments.
Cross-sector capabilities
digital — data analytics, indicator systems, and decision-support tools applicable beyond securitysociety — policing reform, community safety, and post-conflict governance experiencetransport and energy — critical infrastructure resilience work covers these sectors directly
Analysis note: Profile is based on only 2 projects with no keyword or sector metadata available. Expertise is inferred from project titles, the organisation's name, and the H2020 security pillar classification. No website is listed, limiting independent verification. The two projects span only a 2015–2016 start window, so temporal evolution analysis is indicative rather than definitive.