► Combining the available quality experimental data with sophisticated modelling algorithms to develop High Accuracy QSARs (HA-QSARs) and other in silico models;

► Implementing state-of-the-science approaches to address a well-defined Applicability Domain as well as to demonstrate the robustness and predictive ability of our models following the five OECD principles of model validation;

► Providing convincing evidence of the validity of HA-QSARs to Regulatory Authorities with the intention of reducing the need for experimentation. Implementing the most appropriate and sophisticated algorithms and statistical analyses based on high quality and validated datasets;

► Preparing study reports supported by the appropriate documents for regulatory acceptance (e.g. QMRFs and QPRFs, for regulatory submissions);
► Ensuring that the cost to the client is always lower than the experimental equivalent and in proportion with the research effort required to achieve it.