How graph.one works
Private, social, and public signals are translated into shared graph primitives that improve multiple workflows together.
Graph.one strengthens the existing stack rather than trying to replace every system of record.
Signals that compose
Private signals
Interaction evidence from your team's own systems. Graph.one reads metadata only — never email or meeting content.
Social signals
Declared and observed relationships across social platforms, imported via data exports.
Public signals
Publicly available information used to enrich and verify identity and affiliation.
The resolution pipeline
Connect sources
Email, calendar, CRM, social exports, and public sources feed into the resolution pipeline. OAuth for email/calendar, file upload for social exports.
Merge into entities
Identity resolution merges duplicate records, tracks role changes, and creates one stable UUID per real-world person or organization.
Attach relationships and context
Connection strength, interaction history, and team context are pre-computed on the resolved graph before any query or workflow runs.
What the graph produces
Stable identity
One UUID per real-world person or organization, surviving job changes, email switches, and alias variations.
Relationship strength
Evidence-backed connection scoring computed from private, social, and public signals. Not a single opaque number.
Network paths
Ranked routes between people through the team's network, with per-leg strength and explainable evidence.
Accumulated context
Meetings, notes, interactions, and role changes attached to the stable entity over time.