Intelligent Pharma
3rd Party Data Management Solutions

Our Clients

The following is a presentation of the advanced solutions we offer grouped by their possible target audience and a list of the 3 main needs we aim to meet according to each solution:

  • Basic Research Solutions

    … for R&D, hospitals, companies in the pharmaceutical industry, research institutes, universities...

    • to manage Intellectual Property,
    • to achieve GxP Compliance,
    • to carry out faster reporting.
  • Chemical Research Solutions

    … for chemical labs in the pharmaceutical industry, research institutes, universities...

    • to support all aspects of chemistry research from analytical and process and flow-chemistry, to combinatorial chemistry, polymer and fine chemicals,
    • to perform chemistry specific searching (substructure, exact, similarity, reaction transformation, product/reactant),
    • to communicate across all chemistry domains and therefore enable improved communication between groups.
  • Biological Research Solutions

    .. for biological labs (with or without animal testing facilities)…

    • to manage Bioanalysis, DMPK, PK/PD, Safety Science and Toxicology data,
    • to seamlessly integrate with legacy data systems such as LIMS and easily combine data imported from laboratory instruments as a way to keep all your research in one secure environment,
    • to manage an animal lab and its facilities.
  • Clinical Trials Solutions

    .. for hospitals, Contract Research Organizations, companies in the pharmaceutical industry …

    • to manage cohort identification and be able to provide immediate results,
    • to find the right candidates for clinical research studies,
    • to select and synchronize data displays that can be captured and shared for easy inter-patient comparison.
  • Project Solutions

    .. for hospitals, Contract Research Organizations, biotechnological companies, companies in the pharmaceutical industry …

    • to combine data from any source inside or outside an organization,
    • to integrate data and services from heterogeneous sources and architectures,
    • to enable the delivery of analytics to all the different possible users.