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Catch duplicates before they pollute your data.
Catch duplicates before they pollute your data.
Detect likely duplicates using email, company domain, name similarity, and other properties, then merge confidently with a guided review process.
Catch duplicates before they pollute your data.
Catch duplicates before they pollute your data.
Detect likely duplicates using email, company domain, name similarity, and other properties, then merge confidently with a guided review process.
Catch duplicates before they pollute your data.
Catch duplicates before they pollute your data.
Detect likely duplicates using email, company domain, name similarity, and other properties, then merge confidently with a guided review process.
Automated checks. Human control.
Let the system surface suspicious pairs while admins apply rules and thresholds that fit your data model and governance standards.
Detect with precision
- Match by email, domain, phone, and configurable properties.
- Fuzzy logic for near-duplicates and typos.
- Batch reviews prioritized by confidence score.
Resolve without losing context
Guided merging
Pick the master record, preview conflicts, and keep the right values.
Association preservation
Carry over deals, tickets, activities, and notes into the merged record.
Activity log
See who merged what and when for auditability.
Govern at scale
Set permissions for who can merge, require approvals for large batches, and export review lists for team collaboration.
Continuously improve quality
Adjust matching rules as patterns evolve and track duplicate rates over time as a data-quality KPI.
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