Thales is an end-to-end QSP platform for building models, optimizing simulated populations to multiple clinical data sets, and visualizing and analyzing simulation results.

With Thales, you can:

  • Transform diverse datasets into structured inputs for mechanistic modeling 
  • Build mechanistic QSP models linking biological pathways to clinical outcomes 
  • Generate virtual patient populations (SimPops®) that reflect real-world variability 
  • Optimize model parameters and virtual populations against multiple clinical datasets simultaneously 
  • Simulate clinical trial protocols to evaluate dosing strategies and therapeutic hypotheses 
  • Explore system behavior through sensitivity and uncertainty analysis 
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Bring structure and scale to QSP modeling
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At the heart of Thales is a powerful optimization framework designed to solve one of the most difficult problems in drug development: How do we align complex biological models with real-world clinical data?

Thales provides an integrated and standardized approach to the QSP modeling process, bringing model construction, population simulation, calibration, and analysis into a single workflow. As biological understanding evolves, models can be updated, extended, and reused more efficiently across programs.

This enables teams to move from mechanistic hypothesis to clinically relevant simulation with greater clarity and reproducibility.

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Built by QSP experts and used for real development programs
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Thales was originally developed by the Simulations Plus QSP team and is in active use both internally and with clients. The platform reflects decades of experience translating biological insight into predictive simulations.

Model complex systems with precision and transparency

With Thales, you can engage stakeholders across your MIDD efforts—from translational scientists to regulatory reviewers—while equipping subject matter experts with the tools needed to model complex biology and pharmacology. 

With Thales, you get: 

  • Shareable project space for collaboration on modeling work 
  • Visualization tools that make model outputs accessible beyond modelers 
  • A high-level modeling language that supports engagement from pharmacologists and clinicians 
  • Transparent, traceable model structures suitable for internal and regulatory communication With Thales, you can: Inform clinical strategy by translating complex biological mechanisms into quantitative insight 
  • Produce calibrated, evidence-based simulations using any combination of published and proprietary data 
  • Identify dosing strategies and trial designs with a higher probability of success before entering the clinic 
  • Quantify uncertainty and parameter sensitivity to understand risk and strengthen decision confidence 

Turn mechanistic insight into clinical simulation

Thales is a powerful platform in which you can build models using your proprietary data, or choose to license validated models from our extensive QSP library.

  • What’s included
    • Standardized syntax for specifying reaction kinetics, state transitions, and differential equations 
    • Modular libraries for pathway modeling and reusable QSP components 
    • Virtual population generation and population-based simulation capabilities 
    • Automated parameter calibration and optimization tools 
    • Sensitivity and uncertainty analysis with parameter influence visualization 
    • Interactive plotting and analysis of model outputs 
    • Simulation pipelines that emulate clinical trial protocols 
    • Built-in documentation and version tracking for reproducibility 
    • Distributed compute execution for large-scale simulations 
  • License-ready models

    License-ready models built within Thales which provide a starting point for rapid exploration and can be adapted using proprietary data 

    • Dermatomyositis 
    • Inflammatory bowel disease (ulcerative colitis and Crohn’s disease) 
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