Science-first, not AI-first. Where we use automation, it's built to help speed up the most tedious parts of the graphing and analysis workflow, without compromising the accuracy and security that researchers depend on. Smart Data Import uses AI models to automatically detect variables and get your data ready for graphing, eliminating manual data entry.
Below are answers to common questions about how smart models are applied, what data is processed, and how your privacy is protected.
What automated model is used in BioRender Graphing?
For the Smart Data Import feature, we use AI models (LLMs) to help us identify the variables present in the data, infer the variable types, and infer variable or column names.
What AI models are you using?
We are primarily using Claude Sonnet 4.5 and GPT-5.2 models. We may choose to use other vendors or models in the future, but will only use those that meet the same security and privacy standards.
How much of my dataset gets sent to AI models?
Currently we send headers (column names) and the first 3 rows of the dataset to help us identify the variables present in the data, infer the variable types, and infer variable or column names. We do not send full datasets through automated models.
Who can view my datasets?
Only you and anyone you share your graph files with. BioRender’s software processes your data to generate graphs, but BioRender employees will not view your datasets unless you choose to share them when you report an error for troubleshooting purposes.
Will you use my datasets to train models?
Third parties (e.g. OpenAI) will never train their models on your data. We will not train our own AI models on private customer data without explicit approval.
How do you ensure the model does not alter the data or hallucinate?
The only edits to your spreadsheet the automated model might make are to clean up annotations (non-data rows) and clean up or infer column names. It should not change the underlying data points. However, since automated models can make mistakes, we always recommend that you verify that your data has been imported correctly.