HORIZON-CL4-2026-04-DATA-06: Búsqueda de socios industriales para la validación multisectorial de una plataforma soberana de datos sintéticos (salud, defensa, manufactura, finanzas, movilidad, RR.HH., energía, tecnología gubernamental, comercio minorista)

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.

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)

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 and Biomedical Research: Synthetic EHR, medical imaging, clinical notes for AI diagnostics 2. Defence and National Security: Synthetic intelligence data, simulation scenarios, secure environments 3. Industry 4.0 and Manufacturing: Synthetic quality data, predictive maintenance, supply chain 4. Banking, Finance and Insurance: Synthetic transactions, fraud patterns, risk modelling data 5. Autonomous Mobility and Smart Cities: Synthetic sensor data, traffic patterns, urban simulation 6. Recruitment and Human Resources: Synthetic CVs, interview data, workforce analytics 7. Energy and Critical Infrastructure: Synthetic grid data, smart meter patterns, anomaly scenarios 8. Public Administration and GovTech: Synthetic citizen records, service interactions, policy simulation 9. Retail and E-commerce: Synthetic customer behaviour, transaction patterns, inventory data
Please contat funding@chapsvision.com.
Advantages and innovation
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 and 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 and 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 and 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 and 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

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
Anticipated project budget
Coordinator required
No
Deadline for EoI 30 Jan 2026
Deadline of the call 15 Apr 2026
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