Project - Your workspace containing all related data tables, AI models, and processing history. Think of it as a folder that keeps everything for a specific data initiative organized together.

Table - A spreadsheet-like grid where each row represents an entity (product, customer, supplier) and each column represents either raw data or an AI-powered transformation. This is where you’ll spend most of your time.

AI Task - An intelligent operation applied to a column—like extracting information, classifying content, or enriching data with external sources. Each task uses credits based on the AI model selected.

Knowledge Base - A collection of reference documents (PDFs, policy files, product manuals) that AI tasks can consult to provide more accurate, contextually relevant results.

Credits - Usage tokens consumed when AI tasks run. Credit consumption depends on the AI model selected, with Claro’s proprietary models offering the best value, including confidence scoring and citations.

Confidence Scoring - Every AI output includes a reliability score (0-100) with full citations, so you know which results to trust and which need human review.