ELFMo
Engineering Large Foundational Models for Enterprise Integration
Project description
The integration of Large Foundation Models (LFMs) and Generative AI into business, while expansive, introduces a wide array of risks and challenges due to costs, compliance issues, and technical complexities. The ELFMo project aims to address these challenges by providing a framework for effective integration, also enabling enterprises to navigate legal, security, and ethical concerns while aligning with European regulations. ELFMo empowers organizations to reliably integrate LFMs and Generative AI into their infrastructures and offerings, allowing them to maintain control over risks, challenges, and opportunities.
https://www.elfmo.eu/
Belgium
Siemens Industry Software NV
Belgium
Finland
F-Secure Corporation
Finland
Granlund Oy
Finland
Nosto Solutions Oy
Finland
Siili Solutions Oyj
Finland
Solita Oy
Finland
University of Helsinki
Finland
Portugal
FTP - Com. Equip. Inf. Lda
Portugal
Spain
Project publications
- ELFMo Project profile leaflet Project Leaflet 03 June 2025 Download
Work package documents
- ELFMo D2.1 Research baseline for model training and benchmarking_V1.0.pdf Work package deliverable document 21 July 2025
- ELFMo D2.2 Initial release of benchmarking techniques.pdf Work package deliverable document 30 October 2025
- ELFMo D3.1 Research baseline for risk, quality and conformity assessment tools and procedures.pdf Work package deliverable document 30 June 2025
- ELFMo D3.2 Risk, quality and conformity assessment methods, risk indicators and quality metrics .pdf Work package deliverable document 01 October 2025