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SYNTACTIC Project

Transforming data scarcity into opportunity through advanced synthetic data generation, trustworthy AI and compliance-by-design, empowering European organizations to develop, validate and share data with confidence.

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a holiStic sYNThetic dAta lifeCycle plaTform towards next-gen auto-complIanCe

Project Details

Funded under: Horizon Europe

Project ID: 101296884

Start Day: 01/07/2026 

Project Duration: 3 Years

Tags: Synthetic Data, Privacy-Preserving AI

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Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.

The Story

The challenge facing many AI applications is not simply collecting data. It is having access to data that are sufficiently representative, reliable and legally usable.

Across industries such as telecommunications, healthcare, shipping and finance, valuable data is often fragmented. It is also difficult to access or restricted by data confidentiality and privacy requirements. As a result, it becomes harder to train reliable and robust AI models. This is especially true when rare events and underrepresented scenarios are critical to performance. At the same time, European organizations must navigate an increasingly demanding regulatory landscape. This landscape is shaped by legislation such as the GDPR, the EU AI Act and the Data Act.

Synthetic data offers a promising way forward, allowing organizations to generate realistic datasets without relying exclusively on sensitive or scarce real-world information. However, generating more data does not automatically make it trustworthy. Its quality, representativeness, fairness and privacy risks must be assessed, while its origins and subsequent use need to remain traceable.

SYNTACTIC addresses this gap. It brings synthetic data generation, quality assurance and regulatory governance into a unified framework. As a result, it helps organizations move from data limitations to responsible, data-driven innovation.

What is SYNTACTIC?

SYNTACTIC is a Horizon Europe Innovation Action bringing together 26 partners from 13 countries to develop a comprehensive European platform for the generation, management, validation and secure exchange of synthetic data.

The project goes beyond conventional data generation tools. It addresses the entire synthetic data lifecycle. To achieve this, it combines multimodal Generative AI, data harmonization and automated quality assessment. It also brings together FAIR-based data governance, intelligent regulatory auditing and secure interoperability with European Data Spaces. At its core, SYNTACTIC integrates several complementary capabilities:

Generative AI models, data augmentation and digital-twin technologies to create realistic datasets across different modalities, including time series, tabular data, text and images.
Automated assessment of synthetic data fidelity, utility, diversity, fairness and privacy risks, helping users determine whether generated datasets are suitable for their intended applications.
Data curation, metadata enrichment, versioning and provenance tracking to support transparency, reproducibility and responsible data reuse.
AI-assisted interpretation of European legislation, automated auditing, privacy impact assessment and compliance recommendations to reduce the burden of navigating complex regulatory obligations.
Standards-based connectivity with European Data Spaces, AI Regulatory Sandboxes and other European initiatives, supporting controlled and trustworthy data exchange.

The platform will be demonstrated and validated through six real-world pilots spanning beyond 5G telecommunications, maritime transport, Green Deal and industrial compliance, finance, aerospace and healthcare, assessing its effectiveness across diverse data types, operational environments and regulatory requirements.

Our Role in SYNTACTIC

Four Dot Infinity (FDI) plays a key technical role in SYNTACTIC, leading activities related to synthetic data preparation, Generative AI workflows, exploratory analytics and advanced visualization. FDI also contributes its telecommunications and AI engineering expertise to the project’s Beyond 5G pilot.

FDI leads the development task dedicated to data harmonization, GenAI training and model optimization. To achieve this, FDI works alongside project partners. Together, they develop techniques that transform multimodal, heterogeneous and incomplete data into structured, AI-ready datasets. This is done through data preprocessing, data augmentation and data harmonization. As a result, these activities support reproducible generative modelling workflows. They also enable the development of effective AI solutions, particularly in scenarios where training data are limited.
FDI leads the development of SYNTACTIC's Exploratory Data Analytics and Visualization tools, enabling users to better understand both real and synthetic datasets. Through automated statistical profiling, anomaly detection, quality assessment and interactive visualizations, these tools will help users uncover hidden patterns, identify data limitations and make informed decisions throughout the synthetic data lifecycle.
FDI contributes to the project’s telecommunications pilot, working alongside NTT DATA Spain and Eviden/BULL. The focus is on synthetic data generation and AI-driven optimization of Open Radio Access Networks (O-RAN). To achieve this, FDI uses its existing 5G/6G emulation and testing infrastructure. As a result, FDI supports the generation and evaluation of synthetic network datasets. These datasets represent diverse mobility patterns, wireless channel conditions and service requirements. Moreover, they support the development of intelligent O-RAN network applications (xApps/rApps). In turn, these applications enable adaptive resource management, energy efficiency and improved network operation.

Impact and Expected Outcomes

SYNTACTIC aims to establish a practical foundation for trustworthy synthetic data adoption, allowing organizations to develop AI solutions while addressing data scarcity, privacy risks and regulatory complexity. 

Key Results
A unified platform covering synthetic data generation, validation, governance and controlled sharing.
Advanced multimodal Generative AI capabilities, targeting at least six generative models and 20 synthetic datasets.
Traceable, FAIR-aligned data management and automated regulatory auditing to support accountable AI development.
Improved access to realistic and representative data, reducing barriers to AI adoption in data-scarce and highly regulated sectors.
Secure interoperability with European Data Spaces and AI ecosystems, facilitating responsible collaboration and data reuse.
Real-world validation across six strategic sectors, including energy-efficient and AI-driven 5G/6G network management.

Through these developments, SYNTACTIC seeks to make high-quality synthetic data more accessible and useful for European businesses, researchers and technology providers, supporting faster innovation without overlooking the importance of privacy, transparency and trust.

Project’s Progress so far

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