Project cooperationUpdated on 10 February 2026
Data-06 Efficient and compliant access to and use of data - Area 2
Head of Research Partnerships at Cybernetica
Tartu, Estonia
About
Cybernetica can contribute to Area 2 through the deployment and extension of its modular, privacy-preserving synthetic data generation framework (SynthGuard) which is currently at TRL 6 and validated in EU projects such as TEADAL and LAGO, (https://teadal.eu, https://cyber.ee/research/projects/lago))
We also have significant experience in privacy-preserving technologies, primarily through the deployment of cryptographic methods such as multi-party computation and trusted execution environments. Examples include:
-PETs for processing of mobile positioning data collected from the Mobile Network Operator infrastructure https://cros.ec.europa.eu/project-ESTAT-2019-0232
-Joint On-demand COmputation with No Data Exchange https://cros.ec.europa.eu/joconde
SynthGuard enables programmable synthetic data workflows that combine generative models, rule-based synthesis, and hybrid approaches. These workflows support data curation, labelling, annotation, and quality control, while preserving statistical correlations, causal structures, and user-defined patterns. This makes the solution particularly suitable for regulated domains (e.g., finance, identity, energy, mobility), where real data sharing is constrained but high-quality, semantically rich datasets are essential for AI development and cross-sector interoperability within Common European Data Spaces.
Topic
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
Type
- Partner seeks consortium
Organisation
Similar opportunities
Service
Privacy enhancing technologies
- Research
- Consulting
- Development
Hector Pagan
Head of Research Partnerships at Cybernetica
Tartu, Estonia
Project cooperation
Differential privacy and intelligent data analytics
- Partner seeks consortium
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Francesco Silvestri
Associate professor at AIDA Lab @ University of Padova
Padova, Italy
Project cooperation
Efficient and scalable algorithms
- Partner seeks consortium
- HORIZON-CL4-2026-04-DATA-06: Efficient and compliant access to and use of data
- HORIZON-CL4-2026-02-DIGITAL-EMERGING-53: Innovative AI methods and technologies for the process industries
- HORIZON-CL4-2026-02-DIGITA-EMERGING-51: AI improved advanced manufacturing and production processes in factories
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-09: Advanced Local Digital Twins using AI for Early Warning and Preparedness
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-02: Next-Generation AI Agents for Real-World Applications in the Apply AI sectors
- HORIZON-CL4-2026-04-DIGITAL-EMERGING-08: Apply AI: Robotics for Manufacturing: Advancing Core Skills through Technical Challenges
- HORIZON-CL4-2026-05-DIGITAL-EMERGING-03: Apply AI: Next-Generation Agile and Intelligent Robotics Platforms for Industrial and Service Applications
Francesco Silvestri
Associate professor at AIDA Lab @ University of Padova
Padova, Italy