PARIS REINFORCE, NDC ASPECTS, and ENCLUDE all involve integrated assessment modelling, decarbonization pathways, and policy support tools.
HOLISTIC IKE
Greek data analytics SME building AI and big data platforms for climate policy modelling, energy systems, and cross-domain decision support.
Their core work
HOLISTIC IKE is a Greek SME specializing in data analytics, modelling, and decision-support systems applied primarily to energy and climate policy. They build big data platforms, AI-driven expert systems, and integrated assessment models that help policymakers and industry understand decarbonization pathways and energy transitions. Their technical strength lies at the intersection of data science and domain expertise — processing complex multi-source datasets to generate actionable insights for energy management, climate policy assessment, and even clinical brain disorder diagnostics.
What they specialise in
MATRYCS and BD4NRG focus on big data platforms for building energy management and next-generation energy grids.
BD4NRG uses blockchain-based decentralized data governance and federated learning; MATRYCS addresses data sovereignty in building analytics.
MES-CoBraD develops AI expert systems for brain disorders; MATRYCS applies intelligent energy management analytics.
MES-CoBraD applies their data lake and AI expertise to neurocognitive conditions including sleep and seizure disorders.
How they've shifted over time
HOLISTIC IKE entered H2020 in 2019 with a focus on integrated assessment modelling for climate policy (PARIS REINFORCE) and smart building energy analytics (MATRYCS). By 2021, their work shifted toward decarbonization at sectoral and citizen levels (NDC ASPECTS, ENCLUDE), while also branching into blockchain-based data governance for energy grids (BD4NRG) and AI expert systems for healthcare (MES-CoBraD). The clear trend is a move from pure policy modelling toward applied big data and AI platforms that serve multiple domains beyond energy.
HOLISTIC IKE is broadening from energy-specific modelling into cross-domain AI and data platforms, making them increasingly versatile for projects that need advanced analytics regardless of sector.
How they like to work
HOLISTIC IKE operates exclusively as a project participant, never as coordinator, which suggests they position themselves as a technical contributor bringing data analytics and modelling capabilities to larger consortia. With 99 unique partners across 34 countries in just 6 projects, they work in large international consortia and appear comfortable integrating into diverse teams. This profile indicates a flexible, delivery-oriented partner rather than a project leader — valuable for coordinators who need reliable data science capacity without competition for the lead role.
Despite only 6 projects, HOLISTIC IKE has built a remarkably broad network of 99 partners across 34 countries, reflecting participation in large-scale EU research and innovation actions. Their reach spans well beyond Southern Europe into a truly pan-European and global collaboration footprint.
What sets them apart
HOLISTIC IKE combines deep climate-energy modelling expertise with strong data engineering skills (big data, blockchain, federated learning, AI), a combination that is rare among Greek SMEs. Their ability to apply the same data platform competencies across energy, climate policy, and even clinical neuroscience demonstrates genuine technical versatility. For consortium builders, they offer a partner who can handle complex multi-source data integration and analytics without being locked into a single application domain.
Highlights from their portfolio
- PARIS REINFORCETheir entry project directly supporting the Paris Agreement Global Stocktake with integrated assessment modelling — high policy relevance and visibility.
- MES-CoBraDTheir largest funding (EUR 212,500) and a surprising cross-sector move applying data analytics and AI to complex brain disorder diagnostics.
- BD4NRGShowcases their most advanced technical capabilities: blockchain, federated learning, and edge computing for energy grid management.