Core Competencies

Full-Spectrum Statistical Modernization

We bridge the gap between traditional survey methodology and modern data science.

Register-Based Systems

We support national statistical offices through register-based systems consulting , helping them transition from traditional censuses to modern register-based statistical systems.

Census Modernisation

We help countries prepare for the 2030 census by implementing advanced register-assisted census methodologies fully aligned with Eurostat and UNECE recommendations.

Labour Market Statistics

Modernisation of Labour Force Survey (LFS) methodologies in line with the latest ILO standards (including ICSE-18) and Eurostat requirements. Our expertise covers rotating panel designs, multimodal data collection, and dependent interviewing within longitudinal survey frameworks. Administrative data are integrated as a supplementary source to support frame development, weighting and calibration, coverage and non-response adjustment, reduce questionnaire burden, and strengthen the development of key labour market indicators.

Geospatial Frameworks

Integration of statistical and geospatial information in line with the Global Statistical Geospatial Framework (GSGF), leveraging proven AI and machine learning methods, satellite imagery, and geospatial analytics. We develop fully geocoded statistical registers through automated feature extraction, spatial classification, and data integration techniques tested in official statistical applications.

Admin Data Integration

Strategic frameworks for acquiring, validating, and integrating administrative records (tax, health, education) into statistical production lines.

AI & ML Solutions

Deploying advanced AI and ML techniques for automated coding, satellite imagery classification, outlier detection, and synthetic data generation and privacy protection. Our solutions draw on AI/ML methods already tested and applied by leading national and international statistical offices, ensuring methodological robustness, transparency, and suitability for official statistics.