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Where does relationship intelligence data come from?

Relationship intelligence can use authorised interaction records, CRM information, professional history, explicit relationship declarations and licensed external data. Sources vary by provider and deployment. Keep the origin and evidence type visible: a purchased contact record, a shared employer and a connector-confirmed relationship describe different things, and none should be silently presented as equivalent proof of trust.
October 8, 2026

Distinguish the evidence

Interactions show that communication occurred. CRM records show what was recorded. Professional history can suggest overlap. Connector confirmation can establish familiarity and suitability for a particular request.

A public or licensed dataset can support network research, but it does not contain your private interaction history unless appropriately supplied. Conversely, private records alone may miss relevant external paths.

Check identity and freshness

Resolve similar names, changed employers and duplicate records. Preserve source dates and confidence. A wrong person or stale role can make an otherwise plausible path unusable.

Verify collection and use

Ask which fields and content are processed, the permissions required and the permitted purpose. Metadata can still be sensitive. Public availability does not eliminate privacy or licensing considerations.

Apply the evidence to an outcome

Research the people who matter, identify possible connectors and validate before acting. Orbb supports this relationship-led approach.

For current Orbb integrations, API delivery and data handling, use documented scope. Avoid a blanket claim that relationship data cannot be bought, always remains inside one organisation or never includes message content.

Related questions

Orbb researches the relationships your company already has — across customers, employees, investors and partners — then runs the introduction end to end, from finding the path to the meeting in the calendar.
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