AI that speeds up your analysis
and shows its work.
Get data, prepare it, analyze it, and report on it in plain language. Everything AI creates becomes a transparent, reproducible step in your workflow.
Use AI throughout your analytics workflow
Exploratory brings AI into every stage of the analytics workflow, from getting the data to communicating the results.
Instead of using AI as a separate tool, you can use it directly within the analytics workflow you already work in.
Get the data you need using natural language.
Describe the data you want, and AI figures out how to get it, generates the necessary R script, and runs it for you.
You can work with Excel and CSV files, as well as PDFs, databases, APIs, websites, open data sources, and anything else accessible from R.
The generated process is saved as an R script, so you can review it, modify it, and run it again later.
Describe the transformation you want.
Tell AI what you want to do with your data, such as “create age groups from age,” “join these two datasets,” or “extract part of this text,” and AI creates the required data wrangling steps.
The generated transformations become part of your Exploratory workflow, so you can review, edit, and rerun them at any time.
AI helps make complex data preparation easier while keeping the workflow transparent and reproducible.
Create AI-powered functions in your own words.
Define what you want AI to do with text data using natural language.
The AI-generated results are added back to your dataset as new columns, so you can immediately use them for aggregation, visualization, and further analysis.
Keep your workflow running even when the data changes.
When a data wrangling error occurs because of changes such as renamed columns or different data types, AI analyzes the problem and suggests a fix.
It looks not only at the step where the error occurred, but also at the surrounding steps so it can recommend a solution that preserves the existing workflow as much as possible.
For example, AI can suggest updating references to renamed columns or adding necessary data type conversions.
Let AI help you figure out what to look for in your charts.
AI Summary identifies important patterns and trends in your charts and explains them in clear language.
It can highlight changes over time, differences between groups, unusual movements, and other patterns worth paying attention to.
For certain chart types, it can also explain chart-specific statistical signals, such as special-cause variation in XmR charts.
Start with the most important findings.
Statistical analysis and machine learning reports can contain many charts, metrics, and diagnostics.
AI Summary identifies the key findings and explains the overall picture in a more approachable way.
You can first understand what matters most, then move into the detailed analysis report to examine the evidence and interpretation more closely.
Turn analysis results into reports people can understand.
Use the charts and analysis results you have already created in Exploratory, and let AI help turn them into a report.
AI can read the charts in your note, interpret what they show, and generate clear narrative text around the results.
Create reusable report templates
With custom prompts, you can define the format and style of the report you want.
For example, you can ask AI to “summarize the findings for executives in three points” or “write the result, interpretation, and next action for each chart.”
Frequently used prompts can be saved as templates and reused for recurring reports.
Your analytics workflow stays yours.
AI can make analysis faster and easier, but that should not mean giving up visibility or control.
With Exploratory, AI-generated work does not disappear into a black box.
Inspect
See what AI created and how the work was done.
Edit
Modify the generated logic or output whenever needed.
Reproduce
Run the same workflow again with new or updated data.
Use the speed and flexibility of AI while keeping the analytics workflow understandable, editable, and under the analyst’s control.