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NCC Romania (RoNCC) is part of the EuroCC 2 project, which establishes national High Performance Computing (HPC) competence centres across Europe. Its role is to support Romanian business, public-sector and research users in the adoption of HPC, data analytics and artificial intelligence by facilitating access to expertise and computing resources at national and European level. Within this framework, RoNCC has supported a collaboration with the Agentia pentru Dezvoltare Regională București-Ilfov (ADRBI) and the PROSME Enterprise Europe Network (EEN) consortium, focused on improving the drafting of partnership opportunity profiles used by EEN advisors across Europe.
Technical/scientific Challenge:
EEN advisors, many of whom are non‑native English speakers, must draft concise partnership‑opportunity profiles in a strict template. Inconsistent language quality, misuse of technical terms and limited drafting time lead to low acceptance rates and missed matchmaking opportunities.
The challenge is to raise the linguistic quality and impact of these profiles without increasing the workload of advisors.
Solution:
ADRBI selected several state‑of‑the‑art open‑source LLM and will fine‑tune and/or prompt with vector database support it on a curated corpus of aprox. 1000 high‑quality partnership profiles from the POD.
Requirements (technical and business) as well as models are changing following rapid evolution of the models available and envisaged capabilities sought, after gaining better understanding and work experience with the considered LLMs.
The resulting AI‑assistant will be integrated as a web‑based drafting aid, offering real‑time suggestions, terminology checks and compliance alerts.
A local pilot shows a significant (aprox. 30%) reduction in drafting time and a rise in profile acceptance by internal reviwers.
Business impact:
Efficiency: The AI‑assistant cuts average profile‑creation time from 45 min to ≈32 min, freeing advisors to handle more SME requests per day.
Scalability & Cost‑effectiveness: Deploying the model on shared HPC resources would keep operational costs below €15 k per year, while the open‑source stack avoids licence fees.
The solution will be ready for rollout across all 14 EEN partners, promising EU‑wide uplift in SME market‑access services.
Benefits:
- ≈30 % time saving per profile draft
- Increased matchmaking success for SME partners
- Consistent English quality – fewer revisions
- Scalable, low‑cost AI – HPC‑enabled fine‑tuning