Apheris builds federated data networks and customizable AI drug-discovery models. Through our platform that embeds directly in pharma R&D workflows, those models are delivered as modular building blocks that teams run, fine-tune on their own data, and compose into custom workflows. The models' edge is the data behind them: leading models are trained across industry-wide, proprietary pharma data from active drug programs.
Protecting that data and its IP is foundational, so instead of centralizing it, we bring the models to the data in a federated manner.
How the architecture protects your data:
- Your data never leaves your environment. Every computation runs inside your own infrastructure. Your raw data is never pooled, copied, or transferred.
- Only privacy-preserving outputs leave your environment. What leaves are aggregated model updates and approved results, never your raw data. Before any output is shared, a privacy assessment screens it for the risk of exposing information about your underlying data.
- You stay in control. You decide who can run which model, on which data, and under what conditions and every request is evaluated, enforced, and logged through Computational Governance.
The Apheris Gateway protects your data and IP by design:
- Multi-layered safeguards protect data confidentiality and IP across the network.
- All traffic is encrypted in transit (TLS 1.2+), and every data interaction is logged for audit.
- Controls are independently validated through recognized certifications and testing.
In our Trust Center you'll find our certifications and attestations, product and data security controls, our network diagram, penetration-test results, and the policies and documentation needed to complete your privacy and security reviews.



