AI-Enabled for SEM
A browser-based Structural Equation Modeling platform that runs both PLS-SEM and CB-SEM on the same visual model — with an AI Lab for literature-grounded construct discovery, synthetic data generation, and AI-assisted model drawing built in.
A quick walkthrough of the platform, start to finish.
Drag out constructs, draw structural paths, or let the AI Lab propose the whole model for you — like this real moderated-mediation model built in AI-SEM. Click the screenshot to zoom in.
From building the model to reading the output, without switching tools.
Build a measurement and structural model on one visual canvas, then run either estimation method — Partial Least Squares or Covariance-Based — on the exact same model.
Search the literature for constructs, generate synthetic survey data for pilot testing, and let AI propose a structural model — every AI prompt is shown and editable before it's sent.
Built-in Monte Carlo power analysis and sample-size sensitivity testing, so you can plan your data collection before you ever leave the tool.
Cross-check your structural path coefficients against variable-importance scores from XGBoost, LightGBM, CatBoost, and Random Forest on the same data.
Add constructs, draw paths, and configure moderators on a real-time visual canvas — no scripting language or command syntax to learn.
Export every table and diagram straight to Excel/Word, or have an LLM draft an interpretive report grounded in your actual results.
Built and maintained by the following researchers.
Run it locally as a standalone desktop app, or try it instantly in your browser.
