Platypus Simulation GmbH
Platypus Simulation GmbH provides a next-generation framework for model-based biopharmaceutical process development, consolidating mechanistic modeling into an integrated workflow. The platform enables teams to streamline chromatography and downstream process development through high-throughput data calibration and in silico simulation, supporting complex molecules like bispecific antibodies, ADCs, and viral vectors. The framework covers applications from polishing steps to viral clearance models and ultrafiltration/diafiltration processes.
- Biotechnology
- Software Only
- Artificial Intelligence
- Manufacturing / Industry 4.0
Funding
Founders
Founder details are not available yet.
Product
Problem
Biopharmaceutical process development traditionally relies on empirical, trial-and-error experimentation that is time-consuming, resource-intensive, and often fails to scale predictably from lab to production. Mechanistic modeling expertise exists but remains fragmented across specialized tools, limiting adoption and integration into standard development workflows.
Solution
Platypus provides a next-generation framework for model-based process development in biopharma, designed to be scalable and data-driven. The platform consolidates mechanistic modeling capabilities into an integrated workflow, enabling teams to streamline chromatography and downstream process development. By leveraging high-throughput data for calibration and model-based simulation, Platypus supports process characterization, optimization, scale-up, and root-cause investigation with fewer experimental runs. The framework is built to handle complex molecule types, including bispecific antibodies, antibody-drug conjugates, and viral vectors, and aligns with industry standards through collaborations with major pharmaceutical companies.
Target Audience
Primary customers are biopharmaceutical process development teams at drug manufacturers, including companies such as AbbVie, Bayer, Boehringer Ingelheim, Roche, Sanofi, and Takeda, as well as process development tool providers and academic research groups in bioprocess engineering.
Features
- Mechanistic modeling engine for ion exchange, hydrophobic interaction, mixed-mode, and affinity chromatography
- Integration of high-throughput process development (HTPD) data for model calibration and validation
- In silico optimization capabilities for process characterization, scale-up, and root-cause investigation
- Support for diverse molecule types including monoclonal antibodies, bispecific antibodies, ADCs, vaccine antigens, AAV capsids, and lactoferrin
- Inclusion of advanced modeling approaches such as colloidal particle adsorption models, charge regulation, and artificial neural networks
- Application coverage for polishing steps, viral clearance models, and ultrafiltration/diafiltration processes