One customer. One record.
Cross-tool entity matching and dedup. Automatic confidence scoring with human review.
Same customer, six different records across six tools.
CRM says “Acme Corp.” Billing says “Acme Inc.” Support has both. Reports are wrong before you start.
Resolution fixes that — automatically.
Match. Score. Merge. You approve.
Multi-Signal Matching
Name, email, domain, and behavioral signals scored together.
0–100 Confidence Index
Every match gets a transparent confidence score.
Automatic Dedup
High-confidence duplicates merged automatically.
Manual Resolution UI
Low-confidence matches queued for human review.
Human-Approved Merges
You approve every merge. No silent overwrites.
Cross-Tool Unification
One canonical entity across every connected tool.
Every other tool shows you duplicates.
Resolution shows you canonical truth.
Resolution in numbers
- Entities matched across every connected tool automatically
- Confidence score on every proposed match — 0 to 100
- High-confidence merges happen without manual work
- Low-confidence matches go to your review queue
- Every merge is auditable and reversible
- Canonical entity updates propagate to all views instantly
How teams use Resolution
Cross-CRM entity matching
Records from Salesforce, HubSpot, and Stripe matched by name, domain, and email signals.
Duplicate detection at ingest
New records scored against existing entities before entering the Spine.
Human review queue
Low-confidence matches surfaced in a resolution UI. You decide, not the algorithm.
Canonical entity assembly
Approved matches merge into one Entity 360 view across every tool.
Stop guessing which record is real. Resolve it.
Confidence-scored matching. Human-approved merges. One canonical truth.