Endogenics
An end-to-end platform to build and simulate mechanism based disease models at scale.
Model Generation
State of the art bioinformatics tooling and AI augmented workflows to rapidly generate mechanism-based models.
Model Simulation
From first principles to integrate different biological mechanisms and laws and evolve them over time.
Results Interpretation and Hypothesis Generation
From first principles to integrate different biological mechanisms and laws and evolve them over time.
Our current modeling layer leverages
The quality and temporal structure of molecular data directly enhance model constraint and simulation reliability.
Targeted or panel-based plasma proteomics (e.g., Olink-type platforms)
Differential abundance measurements between disease and control states
Longitudinal biomarker trajectories where available
Indication-specific signaling knowledge
Bulk RNA-seq for transcriptional context
Multi-cohort validation datasets