We use AI to optimize existing compounds, predict their key properties, and enable optimal selection of new formulations for drugs, materials, compounds, batteries, agriculture, or cosmetics.
Our AItenea Property Prediction System helps clients extract the best information from their data, accelerate their RDI processes, and increase productivity, saving costs, reducing time-to-market, animal experimentation, and material waste while boosting their competitiveness.
We combine science and technology for sustainable development: better results, faster, more efficient, and cleaner.
José Bayón, dir. public affairs GDELS
Gonzalo León, executive committee Innovative Companies Forum
Micaela Martelli, Director of Sectorial Solutions Telefónica
Blanca Caballero, CEO Nanological
Carolina Gago, COO IOT Lenses
Amalio Garrido, CEO Drage&Mate
Mª Jesús Romero, dir. of economy and industry, Madrid City Council
Marina Villegas, General Director of Research and Technological Innovation Community of Madrid
Mª Inmaculada López, Director Compluemprende
Eduardo Díaz, Director of EBT Office Fund. Madri+d
Luis Baratas, head of entrepreneurship sector, ICEX