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Train AI classifiers using your own historical decisions
StayCharted converts a team’s previously categorized business records into private, task-specific classifiers. Teams can upload labeled support tickets, product catalogs, accounting entries or inspection photographs to teach the model familiar decisions. Before training, the platform checks examples for duplicate records, inconsistent labels and recognizable personal information. Predictions include confidence scores, allowing uncertain cases to be sent to people for review instead of automatically applying every decision. Depending on the plan, users can fill spreadsheets, use Google Sheets, connect through the API and add photo classification through Vision.
No-code private text and image classification trained from business records, with confidence-based human review.
Train a private classifier from previously labeled business examples.
Send uncertain model predictions to a reviewer for correction.
Fill files and integrate predictions with spreadsheets or apps.
Flag duplicate records and inconsistent labels before training.
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