We develop analytical, technological, and consulting solutions for companies, governments, and international organizations working on complex global challenges.

Inteligencia Artificial Barcelona

We automate decision-making through the development of autonomous agents capable of interpreting structured and unstructured data, including state-of-the-art models in natural language processing (BERT, GPT), audio (Whisper, Facebook wav2vec2, Kaldi), and image/video (VGG-16, ResNet50, Inceptionv3, EfficientNet, Movinet).

We predict individual (e.g., purchase, churn, effort) and aggregate outcomes (growth, crisis, conflict) using statistical models (e.g., regression, discriminant analysis) and machine learning models such as neural networks (e.g., Convolutional Neural Networks), and decision trees (e.g., Random Forests).

We predict the evolution of aggregate indicators (demographic, economic, social) using statistical models (e.g., time series, survival analysis, ARIMA) and machine learning models (LSTM, Gradient Boosting).

We identify key audiences and their characteristics through cluster analysis models (e.g., k-means, DBSCAN, k-prototypes) and latent class models (e.g., Gaussian Mixture, Latent Class Analysis).

We analyze economic variables and the impact of specific events using experimental methodologies (Randomized Controlled Trials) and quasi-experimental methods (Propensity Score Matching, Regression Discontinuity, Difference-in-Differences, Instrumental Variables).

We evaluate and validate psychometric scales and tests using methodologies from Classical Test Theory (Factor Analysis, Reliability Analysis, Validation, Structural Equation Modeling) and Item Response Theory (Rasch Analysis, Differential Functioning, Confirmatory Factor Analysis).

We evaluate and transform raw data into a dataset ready for analysis, including data cleaning, data integration, data transformation, data reduction, missing data imputation, and anonymization.


We assess the real impact of a project using experimental and quasi-experimental evaluation designs on indicators of human development, including income, food insecurity, diet quality, gender equality, agriculture, media, and educational and vocational training programs.