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 view of the customer, across the tools you already use.
Every other tool shows you duplicates.
Resolution shows you the record.
Resolution in numbers
- Entities matched across every connected tool automatically
- Confidence score on every proposed match — 0 to 100
- High-confidence matches are prepared for authorized review
- Low-confidence matches go to your review queue
- Supported changes retain decision and source evidence
- View updates track source freshness and reconciliation
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 SpineWorkspace.
Human review queue
Low-confidence matches surfaced in a resolution UI. You decide, not the algorithm.
Canonical entity assembly
Approved matches merge into one customer view across every tool.
Stop guessing which record is real. Resolve it.
Confidence-scored matching, authorized review, and traceable source records.
SPINE INNOVTECH / WHAT'S NEXT
Build on shared context, not disconnected tools.
Explore how our technology connects business context, human judgment and governed AI capability. Start with the company behind the thinking or meet SpineWorkspace, our flagship product.