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What is Fren?

Fren is an artificial intelligence platform designed for Public Affairs professionals, legal departments, consultancies and associations that need to track Spain's regulatory, political and parliamentary activity quickly and accurately.

It combines data from official sources (Congreso, Senado, BOE, ministries) with generative AI techniques to answer questions in natural language, generate summaries and display interactive visualisations.

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Who is Fren designed for?

Fren is designed for:

  • Public Affairs departments
  • Legal and regulatory compliance teams
  • Regulatory and institutional communications consultancies
  • Business and sectoral associations
  • Law firms specialising in regulation
  • Journalists and political analysts
  • Public policy researchers and academics
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What sets Fren apart from other tools?

Fren stands out in four key areas:

  • Conversational AI: ask in natural language, with no tedious filters or searches
  • Interactive visualisations: chamber seating charts, voting graphs, stakeholder networks
  • Cross-referenced data: combines initiatives, votes, sessions and press coverage in a single answer
  • Full traceability: every answer cites the exact source (session, date, page)
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Where does Fren get its information from?

Fren integrates data from official and public sources:

  • Official portals of the national chambers (Congreso de los Diputados and Senado) and the regional parliaments
  • Boletín Oficial del Estado (BOE) and the regional Official Gazettes
  • Transcripts of parliamentary sessions at national and regional level
  • Websites and press rooms of the Ministries, La Moncloa and regional Departments (Consejerías)
  • Regulatory bodies: CNMC, CNMV, AEPD, Banco de España...
  • Public social media accounts of institutional officials
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Is Fren reliable? How does it avoid AI "hallucinations"?

Fren is designed to minimise the hallucinations typical of generative AI models as far as possible:

  • Answers are generated from official sources retrieved in real time (RAG technique: Retrieval Augmented Generation)
  • Every statement is accompanied by the exact citation to the specific session, vote or official gazette
  • The system recognises when it does not have enough information and states so explicitly instead of making things up
  • Constant internal audits of answer accuracy
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