Guided example
Start here to understand the structure and the “threads → merge → checkpoint” model.
Workflow
Tip: once you see the “clean” baseline, it’s easier to understand where human checkpoints are required: renames, duplicates, ambiguous categories, and edge cases.
Inputs
Interactive workbench
AutoWeave applies structured trims, contextual merge logic, and controlled checkpoints on the backend — returning a clean preview and downloadable output.
Upload your business data after logging in or creating an account — we protect your privacy. Or explore the platform using our sample datasets (time csv, income csv, project csv) without signing in.
Build
Inputs, trims and merges preloaded samples or your own files
Time
Income
Project (optional)
See
Preview, stats, and visualisations
Preview
Quick stats
Visualisations
Use cases
Correctness depends on context.
AutoWeave makes that context structured, transparent, and repeatable.
Example workflows include POS exports with bank statements, operational logs, CRM extracts, supplier feeds, and any data process where edge cases require contextual resolution with documented rationale.