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Flagship · since 1980

SAAM II — the reference compartmental modeling suite.

Graphical modeling environment for building, solving, and fitting dynamic systems. Trusted by NIH laboratories, academia, and pharma R&D for four decades — now extended with AI-assisted model construction and a modern programmatic API.

Build models the way you think

SAAM II's graphical workspace lets you assemble compartmental, mechanistic, and physiological models by drag-and-drop. Each compartment, flux, and parameter is a first-class object — editable, linkable, and inspectable at any point during model development.

Behind the canvas, SAAM II's solver handles stiff ordinary differential equations, parameter estimation under measurement error, and the full menu of statistical fits scientists need.

  • Drag-and-drop construction — compartments, fluxes, inputs, samples
  • Mixed-effects & Bayesian fitting with covariate models
  • Native Windows desktop with full API access
  • Validated against four decades of published cohorts

Capabilities

PK/PD PBPK Metabolic flux Tracer kinetics Population modeling NLME Parameter estimation Bayesian inference Sensitivity analysis Monte Carlo

SAAM II ships with a complete library of solver routines, statistical fits, and visualization tools — accessible through the GUI or programmatically through the SAAM II API.

What's new

2025–2026
AI

AI model construction

Generate SAAM II model files from natural-language descriptions or published equations.

PDF

PDF → model

Extract model structure and parameters directly from journal articles into runnable models.

API

Programmatic access

Run SAAM II models from Python, MATLAB, or batch pipelines via the SAAM II API.

Licensing & access

SAAM II is available under commercial, academic, and trial licenses. Nanomath is the official distributor and provides licensing, training, and ongoing technical support.

Request a license → $Read the science