Not just AutoML, biology-aware guidance
Built for experimental biology, not generic business tables.
Upload a CSV file and the advisor inspects your dataset structure, detects biological patterns, and recommends a scientifically defensible analysis strategy. It is especially useful for fluorescence data, cell-line assays, imaging-derived features, dose-response experiments, and longitudinal measurements.
Detects structure
Time-series, wide-format tables, repeated measures, batch/plate columns, and measurement readouts.
Prevents bad ML
Flags leakage risks, inappropriate random splitting, small-sample overfitting, and temporal autocorrelation.
Recommends workflows
Suggests preprocessing, validation, visualization, mixed-effects models, and time-series analysis when needed.
Exports reports
Generate Markdown or JSON summaries for notebooks, lab records, documentation, or project planning.
