About
Coremine Vitae is a Norwegian SME specialising in AI-driven data analysis, digital solutions, and decision-support tools for complex societal challenges.
We collaborate across Europe to integrate heterogeneous data sources, develop explainable AI frameworks, and translate scientific evidence into actionable insights for policymakers, researchers, and public stakeholders.
Our expertise lies in building transparent analytics, indicator frameworks, and visual decision-support tools that support evidence-based understanding and decision-making across interdisciplinary research and innovation projects.
Destination 1. Climate sciences and responses for the transformation towards climate neutrality
HORIZON-CL5-2026-07-D1-01: Next generation climate monitoring and related capabilitiesHORIZON-CL5-2026-07-D1-02: Advancing European climate risk assessmentsHORIZON-CL5-2026-07-D1-03: Economics of climate change and cost of inactionHORIZON-CL5-2026-07-D1-04: Fighting disinformation and effectively communicating on climate change
Destination 4. Efficient, sustainable and inclusive energy use
HORIZON-CL5-2026-09-D4-01: Researching the technical, social & economic factors impacting the energy performance of Smart Buildings (Built4People Partnership)HORIZON-CL5-2026-09-D4-03: Advanced data platforms to integrate whole life carbon in building information tools, assessments, and certification (Built4People Partnership)
Destination 6. Safe, Resilient Transport and Smart Mobility services for passengers and goods
HORIZON-CL5-2026-10-D6-03: Generative AI for smarter CCAM: enhancing perception, decision-making, and validation (CCAM Partnership)HORIZON-CL5-2026-10-D6-10: Enhanced resilience in multimodal passenger transport through digital technologies and generative and discriminative AI
Destination 5. Clean and competitive solutions for all transport modes
HORIZON-CL5-2026-06-Two-Stage-D5-20: Non-exhaust emissions in road and railway transport
Destination 3. Sustainable, secure and competitive energy supply
HORIZON-CL5-2026-03-D3-22: AI-driven forecasting algorithms for Grid and Consumer friendly Energy Sharing – Societal Readiness pilotHORIZON-CL5-2026-11-D3-23: Data sharing to support the training and development of AI foundation models in the energy sector