Company Info
Via Giuseppe Ferrari 14 36100 VICENZA VI

Web :

Company Description

S-IN Soluzioni Informatiche is an Italian company specialized in data science services applied to chemical, biological, toxicological, ecotoxicological information in several industries: pharmaceutical, agrochemicals, food, cosmetic, also in response to the requirements of these different sectors.

Thanks to the multi-year and diversified experience gained by the team, they can solve many issues related to the analysis, interpretation, use and management of data in multiple industry contexts of very different size.

By adopting a multidisciplinary vision of methods such as Machine Learning (ML), Artificial Intelligence (AI), data analysis and in silico methods, they allow customers to implement innovative and cost-saving solutions.


They have recently created a Unit entirely dedicated to non-testing approaches for the regulatory context, TOXIT which provides in silico services based on predictions and computer-aided simulations, such as QSAR, Ruled-based Expert Systems, Read-across, to reduce time, costs, and animal tests considerably.

Since 2020 they are partner of Dassault Systèmes, specialized in Biovia brand solutions.

Their headquarter office is in Vicenza (Italy).

Other Partnership

Systems Integrator Alliance Agreement Master (SIA)

Value Proposition

S-IN Soluzioni Informatiche can combine knowledge of data management, with the proposal of IT solutions and experience in different industrial sectors, to create added value for the customers.

Their services include consulting, study of techniques and approaches suited to the needs of analysis and data management, accompaniment in defining more efficient workflows and business processes that require less time and human intervention.

Their offering includes:


  • Molecular Modeling
  • Analytical Chemistry Data
  • Quality by Design
  • In silico Predictions for Toxicology
  • Training

Distribution of Software Solutions

  • Analytical Data Management System
  • Molecular Modelling
  • Multivariate Data Analysis
  • Design of Experiments


(039)0444 1821160