Entity Resolution Command Center
Resolve duplicates, reconcile sources and audit every decision.
Turn fragmented records into trusted connections.
Compare two source lists, identify strong and ambiguous pairs, assign matches one-to-one and preserve a transparent review trail.
EXPLAINABLE SCORES
Match confidence distribution
Computed from current assignmentReconciliation summary
Two-source comparisonHighest scoring linked records
Pairwise matches and evidence
One-to-one optimal assignment using normalized similarity. Click a row to inspect fields.
Explain this pair
Evidence is algorithmic and must not be treated as verified identity.
Human-in-the-loop verification
Accept, reject or undo proposed links. Rejected pairs are removed from the optimization; accepted pairs reserve both records.
Manual decisions and audit trail
Reference-label evaluation
Demo scenarios include synthetic reference links. Imported datasets have no assumed ground truth.
Quality at alternate thresholds
Precision, recall and F1 for generated one-to-one matches.
False matches and missed links
Comparison against reference labels, where available.
Matching policy editor
Set the matching threshold and relative importance of each attribute. Scores recalculate immediately.
Threshold sensitivity
How many pairs would remain at alternative thresholds?
Important limitations
Import source A
CSV with id,name and optional city,email,code,sector. UTF-8; maximum 80 records.
Import source B
Separate source for reconciliation. Identifiers must be unique within each file.
Data inventory
Downloads and reproducibility
Export a complete audit, approved links, unmatched records, manual decisions, templates and methodology.