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HORIZON-CL4-2026-04-DATA-06- — Industry partners sought for multi-sector validation of sovereign synthetic data platform (health, defence, manufacturing, finance, mobility, HR, energy, govtech, retail)

Summary

Profile Type
  • Research & Development Request
POD Reference
RDRFR20251223031
Term of Validity
23 December 2025 - 23 December 2026
Company's Country
  • France
Type of partnership
  • Research and development cooperation agreement
Targeted Countries
  • All countries
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General information

Short Summary
French data intelligence company (200M€ revenue, 1,000 employees) coordinating Horizon Europe Innovation Action on sovereign multi-modal synthetic data platform. Seeking 2-3 industry validation partners from priority sectors: healthcare, defence, manufacturing, finance, mobility, HR, energy, public administration, or retail. Partners will co-design use cases, validate platform capabilities, and pilot synthetic data in production environments. Call HORIZON-CL4-2026-04-DATA-06, deadline April 2026
Full Description
a French data intelligence leader providing sovereign technology solutions to enterprises and governments, is building a consortium for the Horizon Europe call HORIZON-CL4-2026-04-DATA-06 "Efficient and compliant access to and use of data." The project aims to develop a European-sovereign multi-modal synthetic data platform capable of generating high-fidelity synthetic text, speech, and vision data while ensuring full regulatory compliance (GDPR, EU AI Act, Data Act). Current market analysis reveals that 90% of synthetic data solutions address only tabular data, leaving critical gaps in unstructured data generation for AI training. Problem Addressed European organisations increasingly require synthetic unstructured data for AI development, yet face: - Dependence on US hyperscalers (sovereignty risks under Cloud Act) - Lack of compliant multi-modal generation infrastructure - No integrated explainability documentation for AI Act - Limited European alternatives for text, speech, and vision synthesis Technical Objectives The platform will integrate: - Generative AI models (diffusion, transformers, GANs) for multi-modal synthesis - Differential privacy mechanisms with auditable privacy budgets - AI Act-native explainability documentation generation - Sovereign deployment options (on-premises, EU cloud) - (Optional) Gaia-X Trust Framework compliance and IDSA data space connectors Consortium Structure ChapsVision will coordinate 10-12 partners across EU Member States, leveraging its existing platforms. Programme Framework - Call: HORIZON-CL4-2026-04-DATA-06 (Innovation Action) - Total budget: 50M€ (3 projects expected) - Project budget: 12.5-25M€ - TRL progression: 6-7 → 8 - Duration: 36 months Timescales - Expression of Interest deadline: 31 January 2026 - Call deadline: 15 April 2026 - Project start: Q4 2026 (estimated) Partner Sought We seek Large Enterprises or innovative SMEs/Mid-caps that: - Have concrete AI/ML projects constrained by data availability or privacy - Can commit real datasets (anonymised) for synthesis validation - Will deploy synthetic data in production or pre-production environments - Bring domain expertise to shape platform requirements - Are willing to publish use case results (with appropriate confidentiality) Priority Sectors We seek partners from the following domains, listed by priority: 1. Health & Biomedical Research: Synthetic EHR, medical imaging, clinical notes for AI diagnostics 2. Defence & National Security: Synthetic intelligence data, simulation scenarios, secure environments 3. Industry 4.0 & Manufacturing: Synthetic quality data, predictive maintenance, supply chain 4. Banking, Finance & Insurance: Synthetic transactions, fraud patterns, risk modelling data 5. Autonomous Mobility & Smart Cities: Synthetic sensor data, traffic patterns, urban simulation 6. Recruitment & Human Resources: Synthetic CVs, interview data, workforce analytics 7. Energy & Critical Infrastructure: Synthetic grid data, smart meter patterns, anomaly scenarios 8. Public Administration & GovTech: Synthetic citizen records, service interactions, policy simulation 9. Retail & E-commerce: Synthetic customer behaviour, transaction patterns, inventory data
Please contat funding@chapsvision.com.
Advantages and Innovations
Innovation Aspects 1. Multi-modal synthesis 2. Domain-specific validation 3. Compliance-native 4. Sovereignty guarantee 5. Production pathway Benefits for Industry Partners Immediate Value - Early access to cutting-edge synthetic data technology - Co-design influence on platform features and roadmap - Reduced AI development costs through synthetic data augmentation - Risk mitigation for data-intensive AI projects Strategic Value - Thought leadership positioning in responsible AI - Regulatory compliance advantage (AI Act readiness) - Access to European research excellence (RTOs, universities) - Network effects from cross-sector consortium learning Financial Value - 70% EU funding for industry participation (Large Enterprise) - Up to 100% for SMEs in specific circumstances - Shared development costs across consortium - Reduced time-to-market for AI applications Impact - Reduction in data preparation time for ML projects - Cost savings vs. real data collection and annotation - Faster iteration on AI model development - Zero privacy incidents from synthetic training data
Technical Specification or Expertise Sought
Partner Type: Large Enterprise, Mid-cap, or innovative SME Role in Project: Domain expert, use case owner, validation environment provider Sector-Specific Requirements Health & Biomedical Research - Access to clinical data (EHR, imaging, lab results) for synthesis validation - AI/ML projects in diagnostics, drug discovery, or clinical decision support - EHDS/GDPR compliance expertise; MDR awareness for medical devices - Preferred: Hospital network, pharma company, health tech scale-up Industry 4.0 & Manufacturing - Production data (quality, maintenance, supply chain) access - Predictive maintenance or quality control AI initiatives - Catena-X or Industry 4.0 platform experience beneficial - Preferred: OEM, Tier-1 supplier, industrial automation provider Banking, Finance & Insurance - Transaction, customer, or risk data for synthesis validation - Fraud detection, credit scoring, or algorithmic trading AI projects - DORA compliance awareness; regulatory reporting experience - Preferred: Bank, insurer, fintech, payment processor Autonomous Mobility & Smart Cities - Sensor data (LiDAR, camera, radar) or traffic/urban data access - Autonomous driving, traffic management, or smart city AI projects - Familiarity with automotive (UN R155/R156) or urban data regulations - Preferred: OEM, mobility provider, smart city operator, transport authority Other Sectors (HR, Energy, GovTech, Retail) - Domain-specific data access for validation - Active AI/ML initiatives constrained by data availability - Regulatory awareness for sector (employment law, NIS2, GDPR, PSD2) - Willingness to pilot synthetic data in operational context Cross-Sector Requirements - Dedicated project team (product owner, data engineer, domain expert) - Commitment to 36-month project duration - Ability to provide anonymised real data samples for synthesis benchmarking - Willingness to publish non-confidential results
Stage of Development
  • Under development
Sustainable Development Goals
  • Goal 3: Good Health and Well-being
  • Goal 16: Peace and Justice Strong Institutions
  • Goal 11: Sustainable Cities and Communities
  • Goal 9: Industry, Innovation and Infrastructure
  • Goal 8: Decent Work and Economic Growth
IPR status
  • Secret know-how

Partner Sought

Expected Role of a Partner
Primary Responsibilities Industry validation partners play a critical role in ensuring the synthetic data platform meets real-world requirements and achieves production readiness. Responsibilities span three phases: PHASE 1: REQUIREMENTS & CO-DESIGN Use Case Definition - Define concrete use cases where synthetic data would accelerate AI development - Document data requirements: modalities (text/speech/vision), volumes, quality metrics - Specify domain constraints: business rules, regulatory requirements, operational contexts - Identify success criteria: how will synthetic data quality be measured? Data Provision - Provide anonymised real data samples for synthesis algorithm training - Document data schemas, distributions, and edge cases - Support data quality assessment and profiling - Collaborate with technical partners on domain-specific synthesis approaches PHASE 2: VALIDATION & ITERATION Synthesis Validation - Test synthetic data outputs against real data benchmarks - Evaluate statistical fidelity, utility for downstream ML tasks, and privacy guarantees - Provide structured feedback for algorithm improvement - Validate compliance with sector-specific regulations Pilot Deployment - Deploy synthetic data in pre-production or sandboxed production environment - Train AI/ML models on synthetic data and compare performance - Document operational integration challenges and solutions - Measure business impact (time savings, cost reduction, risk mitigation) PHASE 3: PRODUCTIONISATION & EXPLOITATION Production Readiness - Validate TRL 8 readiness for sector-specific use cases - Document deployment architecture and integration patterns - Develop operational procedures (data refresh, quality monitoring, incident response) - Support certification or regulatory approval processes if applicable Exploitation Planning - Define post-project adoption roadmap - Identify internal scaling opportunities - Contribute to exploitation strategy and business model refinement - Provide testimonials and case studies for dissemination
Type and Size of Partner
  • SME 50 - 249
  • SME 11-49
  • Big company
Type of partnership
  • Research and development cooperation agreement

Call details

Framework program
  • Horizon Europe
Call title and identifier
HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data (Innovation Action)
Submission and evaluation scheme
15 - 20 million
Coordinator required
No
Deadline for EoI
Deadline of the call
Project duration in weeks
156
Web link to the call
https://ec.europa.eu/info/funding-tenders/opportunities/portal/screen/opportunities/topic-details/horizon-cl4-2026-04-data-06

Dissemination

Market keywords
  • 02006005 - Big data management
  • 02006004 - Data processing, analysis and input services
  • 01004006 - Other data communication components
  • 01004008 - Other data communications
Sector Groups Involved
  • Health
  • Energy-Intensive Industries
  • Digital
  • Mobility - Transport - Automotive
  • Aerospace and Defence
Targeted countries
  • All countries