Objective checks handle the arithmetic. AI handles the explanations. You handle the decisions.
Missing values, duplicates, formatting drift, invalid entries, calculation mismatches, category inconsistencies, statistical anomalies, and date and currency drift — each explained per row, per column, with a suggested fix.
Formatting fixes can be batch-approved. Anything that changes a customer, a total, or a category stays behind an explicit approval — with a full record of what you accepted and rejected.
0 to 100, broken down by completeness, uniqueness, consistency, validity and accuracy indicators. Every score comes with the factors that produced it — never a black-box number.
Every total, percentage, comparison and chart value is calculated from the actual dataset before the AI ever sees it. Findings and recommendations quote the underlying rows.
Revenue, volume, sales rep and channel breakdowns.
Trends over time, growth rates and revenue concentration.
Top customers, concentration risk and repeat purchase patterns.
Best and worst performers, margin analysis, category trends.
Order status, fulfilment patterns and process anomalies.
Balanced overview for datasets that don’t match a specific template.
The single-file workflow that produces one trustworthy report ships first. These sit on the roadmap.
Salesforce, HubSpot and accounting integrations are on the roadmap.
Scheduled audits and alerting come after the single-file workflow is proven.
Approval workflows and roles are on the roadmap.
Auditing what happened comes first. Forecasting comes after the ground truth is trustworthy.
Only structured spreadsheet files are accepted today. Unstructured document extraction is intentionally out of scope.
Custom-trained detection lives on the enterprise roadmap.
Free plan available. See what DataForge finds in a real spreadsheet you already have.