scinteco Information

improve by scinteco is a collaborative software system for pharmacometric modeling and simulation teams. It builds reproducible, audit-ready evidence around their analytical work, from early research to regulated development. Teams need to know which data, code, environment and steps produced a result. In regulated development, that knowledge has to become evidence, months or years later, under review. The dataset, the execution environment and the reasoning behind each choice belong to the result as much as the code does. improve by scinteco is tool-agnostic and adds versioning, data lineage and audit readiness to what is already there. Scientists keep the tools they already use, from NONMEM and Monolix to R, Python, SAS and tools built in-house. Since improve platform starts and governs the execution, it captures what surrounds it: input datasets, code and models, tool and package versions, run parameters, outputs and the context behind scientific decisions. None of it is reconstructed later from memory, screenshots or scattered notes. It is a byproduct of the work itself. improve platform integrates into existing infrastructure. HPC schedulers and study data sources such as CTMS and LIMS can be connected in customer-specific setups. improve can be deployed on-premises or in any cloud, including AWS. AI assistants connect through MCP and can operate under the same controls as human users: a separate identity, bounded permissions, entries in the same audit trail, and no self-approval. Built for 21 CFR Part 11, EU GMP Annex 11 and GAMP 5. ISO 9001 certified. Used by leading pharmaceutical companies, including Roche and Pfizer. Based in Vienna, the team behind scinteco has worked in pharmaceutical environments since 2003, alongside pharmacometricians, data scientists, statistical programmers and QA teams. Follow scinteco for perspectives on evidence and reproducibility. For a demo or a technical conversation, get in touch.