System dynamics modeling, simplified for domain experts.
A minimalistic, web-based editor that lets you visualize, configure and compare scenarios from auto-generated models — without becoming a trained modeler.
Three things legacy modelers never gave you.
Stella and Vensim were built for trained modelers. Dynamix is built for the people who actually have the questions.
No formal modeling required.
Leave visually dense tools like Stella and Vensim behind. The interface is deliberately targeted at domain experts who have a causal loop diagram and want answers — without becoming trained modelers to get them.
Side-by-side scenario comparison.
Real domain questions are scenario-based — what happens if we intervene here versus there? Configure many scenarios, run them simultaneously, and compare their time-series outputs to make causal differences visible.
Confidently handle uncertainty.
Auto-generated models aren't perfect black boxes. The interface surfaces confidence scores, expected ranges and repair reports so you can easily identify and correct suspect variables or equations.
From a diagram to a simulated answer, in three moves.
A workflow that mirrors how domain experts already think — inspect the structure, sanity-check the values, run the scenarios.
Import & inspect.
Upload your Diagrams-to-Dynamics (D2D) generated model to instantly view a simplified, interactive stock-and-flow visualization. Stocks, flows and auxiliaries are laid out cleanly — not buried in dense node-graph chrome.
Configure & correct.
Adjust initial values and parameters using built-in context, suggested defaults, and confidence metadata. Flagged variables are surfaced immediately; you decide whether to accept the LLM's best guess or override it.
Compare & analyze.
Build alternative scenarios, run the simulations, and compare the outputs to see exactly how your interventions propagate through the system over time. Every variable gets a chart; every chart can be overlaid.
Built for comprehension, not modeling certification.
Contextual parameter configuration
Understand what each value represents and why the suggested default is reasonable — before making adjustments.
F.01Built-in repair reports
View internal constraint-based repair notes generated by the pipeline to understand how your model was structured.
F.02Confidence scoring
Instantly spot uncertain parameters with visual indicators for confidence scores and expected ranges.
F.03Comparative plotting
View the outputs of two or more scenarios side-by-side on interactive time-series charts.
F.04Minimalistic visual language
A stock-and-flow structure designed for comprehension by newcomers — without the visual density of legacy tools.
F.05Browser-based execution
Run ordinary differential equation simulations entirely within a responsive React frontend. No desktop installations.
F.06Ready to answer "what if"
for your complex system?
Start exploring your causal loop diagrams dynamically — from structure to scenario in a single workspace.
Getting started: from diagram to simulation.
Learn how to read your model, adjust parameters, and run your first scenario comparison.
Reading the stock-and-flow canvas
Your imported Causal Loop Diagram (CLD) is now a dynamic model. Click any node to see whether it is classified as a stock (an accumulation) or a flow (a rate of change). Causal links appear as dashed connectors; flow valves indicate where stocks accumulate or drain.