What Swan processes
- CRM data — the companies, contacts, deals, and activity you’ve connected from your CRM (see Swan vs your CRM).
- Company and contact records Swan builds itself — enrichment results, research notes, and prospecting output.
- Outreach content — the emails and LinkedIn messages Swan drafts and sends, and the replies it reads to manage a sequence.
- Website visitor identities — if you’ve installed the tracking script, the companies and (where a provider supports it) individuals Swan identifies from your site traffic. See visitor identification.
- Conversation and execution history — your chats with Swan and the record of what triggers and sequences did.
Who else processes it
Swan is an orchestration layer over several categories of third-party providers, each handling a specific slice of the work:- AI model providers — the language models Swan’s agent reasons with. Requests relevant to your task (research briefs, message drafts, CRM field values) are sent to these providers to generate a response.
- Enrichment and prospecting data providers — services Swan queries to find and enrich companies and contacts, and to read buying-intent signals (for example Explorium and Bombora, among others).
- Website visitor identification providers — services that turn anonymous site traffic into identified companies or people when you have the tracking script installed.
- Outreach sending infrastructure — Unipile, which holds the actual connection to your email and LinkedIn accounts and performs the send/receive on Swan’s instruction (see security for how those credentials are handled).
- Quality and observability tooling — internal tooling Swan’s team uses to monitor agent behavior, debug issues, and evaluate output quality. This doesn’t include your outreach recipients or CRM records being shared outside the categories above; it’s operational telemetry about how Swan itself is performing.