StatUpAI Solution Overview
From raw data upload to paper-ready interpretation — a complete walkthrough of the four-stage pipeline StatUpAI automates for you.
Personal edition and AI Agent deployment guide
Everything you need to get started — from running the personal installer to on-site deployment by our team.
- Personal
- AI Agent
Five analysis pipelines
Pick the pipeline that fits your research goal. Each track is a detailed four-step scroll guide.
Between-Group Analysis (Statistics)
A statistical track for testing differences between groups — from loading data to descriptive statistics and group-comparison graphs, in four steps.
- 1. Import data
- 2. Descriptive statistics
- 3. Basic graphs
- 4. Compile results
Advanced Machine Learning
An advanced track for building, validating, and interpreting predictive models with AutoML.
- 1. Feature engineering
- 2. Model search
- 3. Validation
- 4. Explain & deploy
Structural Equation Modeling
A track for testing causal structures among latent variables with SEM.
- 1. Model specification
- 2. Estimation & fit
- 3. Model revision
- 4. Reporting
Time-Series Modeling
A track for analyzing temporal patterns and forecasting the future.
- 1. Prepare series
- 2. Decomposition
- 3. Forecasting
- 4. Evaluate & report
Natural Language Processing
A track for cleaning and analyzing text to derive sentiment, topics, and classifications.
- 1. Text preprocessing
- 2. Vectorization
- 3. Run analysis
- 4. Interpret results