AI Contact Data Enrichment That Fills Every Gap Instantly
Incomplete contact records slow your team down before the first call. Describe your enrichment rules in plain English and Swan's AI agent fills every field in real time from the best available sources. Your reps always work from complete, accurate data.







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Why Most Teams Sell on Incomplete Contact Data
Reps waste hours every week on contacts with missing job titles, wrong numbers, and blank company fields. Without an AI agent handling enrichment, your team either guesses or manually looks up every record before they can work it.
Incomplete Records Slow Every Rep Down
Your rep opens a contact and sees a name, an email, and nothing else. No job title, no phone, no LinkedIn, no company size. Before they can reach out, they spend 15 minutes on manual research that should have happened the moment the contact was created.
Manual Enrichment Doesn't Scale
Copying data from one tool into HubSpot works for five contacts. At 500, it's a full-time job. Your ops team runs a monthly enrichment batch, but by the time it's done, half the data is already stale.
Multiple Data Sources, No Single Source of Truth
You have one tool for firmographics, another for emails, LinkedIn for job history, and your CRM for activity. No tool agrees on everything. The result is a CRM full of conflicting, partially enriched records that nobody fully trusts.
Contact Data Enrichment That Runs the Moment a Contact Lands
Swan enriches every contact the moment it enters your CRM, pulling from multiple providers and resolving conflicts so your reps always start from complete, trusted data.
Enriches Every Field Instantly
Swan pulls job title, seniority, department, company size, industry, LinkedIn URL, phone, and email the moment a new contact is created. No manual batch runs. No waiting.
Resolves Conflicts Across Sources
When two providers disagree on a job title or company, Swan evaluates recency and source reliability to pick the most accurate value. Low-confidence records get flagged instead of silently written with bad data.
Keeps Records Always Fresh
Contacts change roles every 18 months on average. Swan re-enriches records during scheduled refreshes, flags stale contacts for review, and notifies the account owner when a key contact moves.
Let the numbers talk
Before & After Swan
Before Swan

A new lead submits your form. Your ops team exports it, pastes it into an enrichment tool, manually copies fields back into HubSpot, then routes it. If the contact changed jobs recently, the tool still shows their old role. Your rep calls a VP who is now a Director somewhere else.
After Swan
What took a manual batch process takes seconds. Describe your enrichment rules in plain English. Swan fills every field, resolves every conflict, and flags what needs review. Your reps open every contact already complete.




If You Can Write It,
Swan Can Build It.
Describe your enrichment rules like you're explaining them to your team. Swan turns your words into a live GTM workflow instantly.
Intelligence,
Not Automation.
Traditional enrichment tools overwrite your CRM with whatever one provider returns. Swan evaluates multiple sources and makes enrichment decisions the way a senior ops analyst would.
Adapts in seconds,
not months.
Your enrichment needs change as you learn what your team actually uses. Just tell Swan what's different and it adapts instantly.
Connects to Your Enrichment Providers and CRM
CRM platforms, enrichment databases, LinkedIn, and email verification tools. Swan pulls contact data from every provider you trust and writes clean, reconciled records back to your CRM.
Loved by teams scaling smarter, not bigger

















































































FAQs
What is contact data enrichment?
Contact data enrichment fills incomplete contact records with accurate data from external sources. Every new contact gets a full profile, including job title, seniority, company size, LinkedIn URL, phone, and verified email, before your reps ever touch it.
- Pulls job title, department, seniority, and direct phone from enrichment providers
- Verifies email addresses to reduce bounce rates and protect sender reputation
- Adds company firmographics like size, industry, and revenue range
- Links LinkedIn profiles for reps to research before outreach
- Updates existing records when contacts change roles or companies
Clean data means your reps spend time selling, not researching.
What is an AI agent for contact data enrichment?
An AI agent for contact data enrichment pulls from multiple providers, resolves conflicts between sources, and writes the most accurate values into your CRM without human intervention. Unlike single-provider tools, it reasons through disagreements and flags low-confidence fields instead of silently writing bad data.
- Queries multiple enrichment providers in parallel for every new contact
- Compares values across sources and selects based on recency and reliability
- Flags fields where providers disagree so ops can review edge cases
- Runs enrichment on every contact the moment it enters your CRM
- Re-enriches contacts when flagged for review or during scheduled refreshes
Swan gives your team an always-on analyst that keeps every record complete and current.
What data does Swan enrich on a contact?
Swan enriches any combination of fields you define based on what your team needs.
- Job title, seniority level, and department from enrichment providers
- Direct phone number and verified business email from connected providers
- Company name, size, industry, revenue range, and HQ location
- LinkedIn profile URL and current employment status
You define which fields matter most and Swan fills them on every contact.
How does Swan handle conflicts between data providers?
Swan evaluates each source by recency, verification method, and historical accuracy before writing any field.
- Checks LinkedIn for the most recently updated job title and company
- Cross-references connected providers for email verification and firmographic data
- Selects the most recently updated value when sources disagree
- Flags records where key fields conflict across sources
- Notifies your ops team in Slack when a contact needs manual resolution
Your CRM gets the best available data, not just whatever one provider returned.
Can Swan keep contact records fresh after initial enrichment?
Yes. Swan re-enriches contacts when their data becomes stale.
- Re-enriches contacts when flagged for review or during scheduled refreshes
- Updates the contact record with current title, company, and contact details
- Notifies the account owner in Slack when a key contact changes jobs
- Flags contacts whose email domain no longer matches their company domain
- Schedules periodic re-enrichment for high-priority accounts on your ICP list
Your reps never call a contact with a title they held two years ago.
Does Swan work with HubSpot, Salesforce, and other CRMs?
Yes. Swan writes enriched data directly into your CRM's native fields.
- Supports HubSpot, Salesforce, Attio, and Pipedrive
- Maps enriched fields to your existing CRM field structure
- Updates records without overwriting manually entered data you want to keep
- Creates enrichment history notes so reps can see what changed and when
- Works across all contact creation sources including forms, imports, and API
Describe your CRM field mapping in plain English and Swan handles the rest.
How does Swan handle contacts with incomplete or unresolvable data?
Swan flags low-confidence contacts for review instead of leaving gaps or writing bad data.
- Marks specific fields as low-confidence when providers return conflicting values
- Routes flagged contacts to a review queue in Slack or your CRM
- Writes partial enrichment for fields it can resolve, leaves blanks for those it can't
- Gives ops a clear view of which contacts need manual attention and why
Your ops team reviews exceptions, not every contact.
How is Swan different from native HubSpot enrichment or a single provider like ZoomInfo?
Native CRM enrichment and single-provider tools write whatever one source returns. Swan reasons across multiple sources and handles the gaps they all have.
- Cross-references multiple enrichment providers instead of relying on one database
- Detects and resolves conflicts instead of silently overwriting with stale data
- Flags low-confidence records for review rather than writing bad data into your CRM
- Adapts enrichment logic in seconds through plain English updates
- Keeps records fresh through scheduled re-enrichment, not just enriching on creation
Swan turns contact enrichment from a batch process into a live, always-accurate system.
