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How it works

How does relationship intelligence software work, and where does the data come from?

Relationship intelligence combines people, organisations and connection evidence into a model that helps teams understand possible access and engagement. Inputs vary by provider and can include authorised interactions, CRM records and public professional history. Scores are estimates, not proof of trust; useful systems explain their evidence and let people validate or correct proposed relationships.
October 8, 2026

Build and resolve the entities

The system identifies people and organisations across source records, resolving duplicate names, email addresses and job changes. Poor identity resolution can create false connections or attach history to the wrong person.

Represent the relationship evidence

An interaction record, former-colleague overlap and explicit connector confirmation are different evidence types. Keep their source, date and confidence visible. Frequency or recency can inform scoring without proving personal closeness or willingness.

Apply the model to a business problem

For a target account, identify the relevant people, possible connectors and appropriate next steps. Account-level contact totals do not substitute for research into who influences the decision.

Turn research into execution

A relationship-led programme validates the proposed path, gets approval, prepares the request and tracks outcomes. Some providers offer software; others add operational services. Confirm the actual scope.

Orbb applies this approach to relationship-led GTM. For integrations, metadata or content access, API delivery and data handling, rely on current documentation and the agreed deployment rather than assuming all relationship intelligence products work identically.

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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