One messy export.
One clean person.
Ingest contact data from anywhere, catch duplicates before they spread, and give every real person a single canonical record your whole team can trust — then reach them safely.
- 1
- canonical record per person
- 20+
- fields tracked per contact
- 0
- external sends without approval
Jane Smith
Department Chair · Riverside University
- jane.s@uni.edu
- phone
- +1 415 555 0142
- group
- Sponsors
- consent
- opted-in
3 fragments → merged → 1 truth
From spreadsheet chaos to a record you can trust
Four steps, no manual cleanup expected of you.
Ingest
Upload the mess
Drop a CSV or XLSX as-is — duplicate phones, half-typed institutions, unclear consent and all.
Clean
Map & validate
Match columns to fields, normalize emails and phones, and see every warning before anything commits.
Resolve
Dedupe to one person
Exact matches and strong look-alikes surface for review. One real person, one canonical record.
Send
Test safely
Guarded internal-test sends only — external delivery stays locked until provider and consent approvals pass.
Dense, scannable rows
A spreadsheet-grade contacts table — search, filter, and bulk-act across thousands of records without losing the thread.
Honest deduplication
Exact email/phone matches and name+institution+location look-alikes, each with a confidence score and a clear merge decision.
Guarded email
Provider, domain, and consent checks gate every send. Internal test audiences first; nothing leaks externally by accident.
Built with guardrails on by default
Internal-only auth, blocked external sends, hidden raw email bodies, and preserved source files — so the record stays trustworthy from the first import.