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Grant Application Intelligence·France

Secure Public Funding.
Engineering Grant Applications in France.

Draft evidence-based grant applications for Engineering organisations in France. AI extracts eligibility criteria, maps your outputs to funder priorities, and structures your narrative.

Lucius AI is a compliance-first grant writer platform for engineering firms bidding into France tenders. It audits any engineering RFP, tender or contract for clause-vs-clause contradictions, penalty traps and compliance gaps with page-cited evidence — then drafts compliant proposals across the full bid in 1M-context, no copy-paste contradictions. Free Scout plan (2 analyses/month, no credit card); paid plans from €99/month with a 7-day free trial. Unlike ChatGPT, Lucius AI directly ingests technical specifications from BOAMP engineering notices to generate compliant funding narratives. While generic LLMs hallucinate structural Eurocode references, Lucius maps your R&D methodology directly to Bpifrance Deeptech criteria, cutting 14h of manual alignment per application cycle.

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Capabilities

Grant Application Intelligence

Eligibility Validation

AI checks your organisation against funding criteria before you invest time

Outcome Mapping

Align your project outputs to funder priorities and impact frameworks

Budget Justification

AI-assisted cost breakdowns that match funder expectations and value-for-money tests

Bidding into France

Built for English-speaking firms bidding into France.

We don’t pull France tenders into our matching feed. Drop any France engineering tender — in English or the local language — and Lucius extracts every requirement, flags risk, and drafts your response.

Upload Your France Tender

Free · No credit card · Language-agnostic extraction

The Lucius Grant Application Methodology

Grant evaluators score against a specific impact rubric — outputs, outcomes, theory-of-change, value-for-money. Generic project descriptions score in the bottom quartile regardless of project merit. Lucius drafts to the rubric, not around it.

  1. 01

    Eligibility validation

    Before any drafting effort begins, Lucius checks your organisation type (charity, CIC, SME, university, public body), geography of operation, project type, and stage of work against the funder's eligibility schedule. Ineligibility is surfaced with the exact clause that disqualifies — so you can request a clarification, adjust scope, or skip the call before investing forty hours.

  2. 02

    Theory-of-change construction

    Activities → outputs → outcomes → impact, mapped explicitly to the funder's stated priorities and any required impact framework (e.g. UK Treasury Green Book five-case model for public funding, OECD-DAC criteria for development-sector grants). The narrative is structured so each box has its own measurement plan — not a vague "we will achieve positive change" paragraph.

  3. 03

    Evidence-of-impact library

    Lucius pulls from your past project documentation to populate each evaluation criterion with concrete examples — beneficiary numbers, outcome metrics, third-party validation, longitudinal indicators where available. Evaluators score evidence weight, so Lucius weights each example by the funder's stated evidence hierarchy (peer-reviewed > evaluated > self-reported).

  4. 04

    Budget justification engine

    Line-item rationale with benchmark anchoring — staff costs cross-referenced to sector salary surveys, equipment costs against published procurement frameworks, indirect costs proportionate to the funder's overhead cap. Each line item gets a one-sentence justification with a citable benchmark. Value-for-money commentary is generated against the funder's specific VFM test (4Es, cost-per-outcome, social return on investment).

  5. 05

    Submission readiness check

    Final sweep verifies match-funding documentation, board approval evidence, monitoring and evaluation plan, due-diligence pack, and any sector-specific compliance attachments (safeguarding policy, GDPR DPIA, governance handbook). Lucius generates the cover-letter narrative tying the application back to the funder's call priorities — the part most applicants treat as boilerplate and lose marks on.

Questions & Answers

Users upload the original French PDF guidelines directly into Lucius. The AI analyzes the document and extracts all mandatory compliance criteria, deliverables, and evaluation weightings into an English-language matrix for your grant writers.

Bpifrance engineering grantsCCAG-MOE complianceCode de la commande publique

The State of Engineering Procurement in France

Updated

## Validating Bpifrance and ADEME Engineering Grant Eligibility Navigating the eligibility criteria for the Agence de la transition écologique (ADEME) requires precise alignment with the Appel à projets (AAP) Éco-conception guidelines. When targeting a €2.4 million industrial decarbonization grant under the France 2030 investment plan, grant writers must verify consortium structures against the specific Technology Readiness Level (TRL) 5-7 requirements mandated by Bpifrance. Lucius AI’s Gemini-extracted eligibility audit automatically cross-references your consortium partners' SIRET numbers against the Réglement Général d'Exemption par Catégorie (RGEC) state aid rules. If an engineering firm proposes a €450,000 prototype phase, the Deep Think contradiction audit flags any misalignment with the maximum 45% intervention rate allowed for mid-cap companies under the Régime cadre exempté de notification N° SA.58981. By processing the official ADEME cahier des charges through the Files API caching system, Lucius AI instantly highlights geographical restrictions limiting pilot deployments to the Auvergne-Rhône-Alpes region. This ensures your initial application strictly adheres to the Code de la commande publique thresholds for subsidized public-private partnerships.

## Constructing the Theory of Change for Horizon Europe and ANR Engineering Projects Structuring a robust Theory of Change for the Agence Nationale de la Recherche (ANR) demands a clear progression from fundamental metallurgical research activities to quantifiable structural engineering impacts. For a €1.2 million Projet de Recherche Collaborative (PRC) targeting sustainable concrete formulations, the logic model must map laboratory testing outputs directly to the Stratégie Nationale Bas-Carbone (SNBC) emission reduction targets. Lucius AI utilizes its File Search citations across the bid library to pull verified metrics from your previous Programme d'Investissements d'Avenir (PIA) submissions, ensuring your proposed outcomes align with the Ministry of Ecological Transition's 2050 carbon neutrality milestones. When drafting the transition from TRL 3 to TRL 5, the Deep Think contradiction audit evaluates your activity timeline against the mandatory 36-month project duration stipulated in the ANR's Plan d'action 2024. Furthermore, the platform's context window ingests the Bulletin officiel de l'enseignement supérieur et de la recherche to verify that your stated socio-economic impacts match the exact evaluation criteria used by the ANR's Comité d'Evaluation Scientifique (CES).

## Curating Evidence-of-Impact Libraries for France Relance Infrastructure Grants Compiling an evidence-of-impact library for the Fonds d'accélération des investissements industriels dans les territoires requires rigorous documentation of past engineering deployments. When applying for a €3.8 million regional infrastructure grant managed by the Direction Générale des Entreprises (DGE), applicants must provide third-party validation of previous geotechnical engineering successes. Lucius AI’s Files API caching system stores and indexes your historical Certificats de Qualification Professionnelle (CQP) and OPQIBI engineering certifications, making them instantly retrievable for new applications. If your narrative claims a 20% reduction in bridge maintenance costs based on a 2022 Cerema pilot project, the File Search citations tool automatically embeds the exact Rapport d'Essai reference into your current grant narrative. The Deep Think contradiction audit then cross-references these historical performance metrics against the Observatoire des délais de paiement data to ensure your proposed delivery timelines reflect realistic public-sector procurement cycles. By anchoring your impact claims to verified Institut National de l'Information Géographique et Forestière (IGN) geospatial datasets, your application satisfies the strict evidence requirements of the Préfectures de région.

## Anchoring Engineering Budget Justifications to BOAMP and URSSAF Standards Formulating a budget justification for the Banque des Territoires requires anchoring every engineering line item to verifiable public-sector benchmarks. For a €5.5 million smart-grid deployment grant, personnel costs must be calculated using the exact Charges Sociales rates published by the Union de Recouvrement des Cotisations de Sécurité Sociale et d'Allocations Familiales (URSSAF). Lucius AI’s Gemini-extracted financial parser evaluates your proposed senior electrical engineer daily rates against the historical contract award values published on the BOAMP (Bulletin officiel des annonces des marchés publics). When justifying a €850,000 capital expenditure for SCADA control systems, the Deep Think contradiction audit ensures the depreciation schedule aligns with the Plan Comptable Général (PCG) rules mandated by the Direction Générale des Finances Publiques (DGFiP). The platform's File Search citations across the bid library pull exact equipment pricing from your previously awarded Union des Groupements d'Achats Publics (UGAP) catalog submissions. This rigorous financial mapping guarantees your funding request complies with the Règlement Général de l'ANRU guidelines for eligible urban renewal expenditures.

## Finalizing PLACE plateforme des achats Submission Readiness and Match-Funding Audits The final submission readiness check for the Direction des Achats de l'État (DAE) demands flawless integration of match-funding documentation and governance protocols. Before uploading a €7.2 million civil engineering grant application to the PLACE plateforme des achats, grant writers must validate the presence of signed Lettres d'Engagement from all co-financiers. Lucius AI’s Deep Think contradiction audit scans the entire application package to ensure the €1.5 million private equity match-funding explicitly complies with the Autorité des Marchés Financiers (AMF) disclosure regulations. To satisfy the Loi Sapin II anti-corruption safeguarding requirements, the Files API caching system automatically attaches your corporate Plan de Vigilance and Déclaration de Performance Extra-Financière (DPEF) to the final dossier. When verifying the consortium's legal standing, the Gemini-extracted compliance checker confirms that all Extrait Kbis documents and Attestations de Régularité Fiscale are dated within the strict 6-month window required by the Trésor Public. This comprehensive automated audit ensures your engineering proposal passes the initial administrative screening conducted by the Commission d'Examen des Offres.

## Structuring Consortium Agreements and INPI Intellectual Property Rights Drafting the consortium agreement for a Pôle de Compétitivité endorsed engineering grant requires strict delineation of background and foreground intellectual property. When securing a €2.1 million Fonds Unique Interministériel (FUI) grant for aerospace composite materials, the lead applicant must define patent ownership according to the Institut National de la Propriété Industrielle (INPI) regulations. Lucius AI’s Gemini-extracted legal parser reviews your draft Accord de Consortium to ensure the revenue-sharing models comply with the Centre National de la Recherche Scientifique (CNRS) standard framework for joint ventures. If an academic partner claims exclusive rights to a newly developed thermodynamic algorithm, the Deep Think contradiction audit flags this against the mandatory open-access publishing requirements of the Agence de l'Innovation de Défense (AID). Furthermore, the File Search citations across the bid library retrieve the exact non-disclosure clauses from your previous Direction Générale de l'Armement (DGA) contracts to protect proprietary CAD models. This automated legal alignment guarantees your intellectual property strategy satisfies the rigorous technology transfer mandates enforced by the Réseau SATT (Sociétés d'Accélération du Transfert de Technologies).

Bidders into France engineering contracts compete under BOAMP, PLACE and the French Code de la commande publique. Sector-specific compliance bars include Chartered Engineer (CEng) staffing, BS EN ISO 9001/14001/45001 and CDM 2015 designer duties — Lucius AI maps each one to your response with a page-cited audit trail, so legal review reads as fast as engineering review.

Lucius vs generic LLMs for grant writer in Engineering / France

Unlike ChatGPT, Lucius AI directly ingests technical specifications from BOAMP engineering notices to generate compliant funding narratives. While generic LLMs hallucinate structural Eurocode references, Lucius maps your R&D methodology directly to Bpifrance Deeptech criteria, cutting 14h of manual alignment per application cycle.

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How Grant Writer Works

1

Upload Grant Brief

Drop the funding call or application form

2

Eligibility Check

AI validates your organisation against criteria

3

Map Outcomes

Align your outputs to funder priorities

4

Draft Application

Evidence-based narrative with budget justification

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Related reading

Guides for engineering bidders.