Ventity is software for modeling dynamic systems. It combines a friendly, pretty interface with the power of modular entities, data-friendly architecture and dynamic model structure changes.

Featured

Some features & applications of Ventity:

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  • Flexible Development Environment

    Work efficiently with dockable windows and non-modal dialogs.

  • Modular Entities

    This video demonstrates the use of entities to: represent markets with sparse offerings and new product introductions, create new structure on the fly, from data or random events model multiple scenarios simultaneously for an aggregate infection model, model the same infection process on an agent based social network, and calibrate a function to time series

  • Causal Tracing®

    Like Vensim®, which created the tool, Ventity has Causal Tracing for rapid model analysis:  

News

We invite you to read about recent releases and other news:

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  • Ventity Release 1.0.2

    Ventity is just getting better – release 1.0.2 is now available for evaluation and purchase. Download a copy now. Entity Picker Improvements The revised Entity Picker is much faster than the initial version, which makes it easier to analyze large populations of entities. You can easily pick out individuals, or slice collections by attributes, to

  • Data science meets the bottom line

    Ventity can be used to put big data in context, by incorporating the learnings from big data in simulations that account for organizational structure and finances. Ventity can also do data intensive simulation, with an architecture friendly to relational data and dynamically changing lists, optimization for calibration, and much more  on the road map.

  • What can you do with entities?

    This video demonstrates the use of entities to: represent markets with sparse offerings and new product introductions, create new structure on the fly, from data or random events model multiple scenarios simultaneously for an aggregate infection model, model the same infection process on an agent based social network, and calibrate a function to time series