InSilicon™ Analytics

A structured path beyond animal testing

Your roadmap beyond animal testing

InSilicon™ Analytics is Celbridge Science’s in silico modeling and decision-support platform designed to evaluate preclinical and translational data at scale.

The platform helps teams identify where non-animal approaches can replace, reduce, or refine animal studies, supporting earlier, defensible decisions within defined scientific and regulatory boundaries.

What the platform does

Portfolio Mapping

Maps in vivo study volume across programs to identify bottlenecks and priority areas where alternatives may be viable.

Predictive Modeling

Evaluates studies for replacement, reduction, or refinement using interpretable models with defined confidence ranges and limitations.

Risk scoring & scenario modeling

Compares safety, time, cost, and animal use tradeoffs to support earlier decisions and portfolio prioritization.

Key Features

Secure ingestion of preclinical, toxicology, PK/PD, and omics datasets.
Interpretable modeling approaches with documented assumptions and limitations.
Dashboards tracking projected animal use, cost, and cycle-time impacts.
Reporting structured for internal governance and regulatory review.

Security and compliance

Data privacy

Protects sensitive datasets through privacy-aware handling, segregation, and controlled access.

Access controls

Role-based permissions separate teams, projects, and levels of data access.

Audit trails

Maintains auditable logs for key actions, outputs, and version-controlled reporting.