The Systemic Oracle for Global Pharma

Pharmaceutical
Supply Chain Intelligence.

Mapping and predicting the evolution of global pharmaceutical production networks through high-resolution structural data intelligence.

Join Early Access Program An ETH Zürich Spin-off
Coverage 35 Jurisdictions
Data Depth Tier 1 – Tier 4 Resolution
Model Cadence Continuous Inference

Pharmaceutical supply chains are not visible to the institutions that depend on them. Mantias makes them legible — at the resolution that decisions require.

Join Early Access Program

Research conducted in collaboration with SECO, BAG & the OECD

Core Intelligence 001 – 003

001

End-to-end value chain visibility

Every node. Every supplier relationship. Every regulatory dependency — resolved with granular, continuously updated structural precision across your global network.

002

Predictive resilience modeling

Surface structural vulnerabilities before they cascade. Mantias models shock propagation across multi-tier supplier networks and quantifies downstream production exposure.

003

Production node optimization

From API sourcing to fill-and-finish capacity — structural intelligence that identifies concentration risk and unlocks network efficiency at the system level.

Who we are

We are a team of data scientists and complexity researchers from ETH Zürich working to improve resilience in global pharma supply chains.

Dr. Luca Verginer

Dr. Luca Verginer

Empirical economist and network scientist mapping how global trade and innovation shape medicine resilience.

Dr. Georges Andres

Dr. Georges Andres

Physicist and data engineer designing the data infrastructure and AI pipelines.

Dr. Giona Casiraghi

Dr. Giona Casiraghi

Mathematician and data scientist leading risk and resilience modelling.

Selected publications
Science Science Advances
Early Pilots Identifying details withheld at partners’ request

Global Pharma Innovator · Switzerland

International Health NGO · Geneva

National Medicines Agency · EU

Affiliations & Support