Your customers are buying enrichment somewhere else.
Person and company enrichment behind your own product, so a record fills itself when it is created and refreshes before it decays — without your customer signing a second vendor and pasting a CSV every quarter.
Teams already building on the graph.
Platforms and businesses shipping their own products on ZipLabs data.
An empty field is a reason to leave.
Nobody churns over a missing job title. They churn because the system stopped feeling like the place the truth lives.
Half of every record is empty
A form captured a name and an email. Everything a workflow wants to branch on — title, seniority, company size, industry — was never collected and never will be by asking again.
The enrichment budget goes to somebody else
Your customer has a second contract, a second login and a monthly export. That spend was adjacent to your product and it left, along with the part of the workflow that felt valuable.
Right at import, wrong at renewal
People change jobs and companies restructure. A one-time enrichment is a photograph, and by the next renewal conversation a good share of it describes somebody's previous life.
The record maintains itself.
Each of these is a feature your customers already pay somebody for, running inside the product they are already in.
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as capturedafter the calla record a workflow can branch on
Fill rate, not a field list
What matters to your customer is not how many attributes exist in a schema, it is how many are populated on the record in front of them. That number is the feature.
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+ new contact name, email VP eng · Northwind 2 fields completerecord created… enriching on write… title, seniority, company, size
A record that fills itself on create
The enrichment happens at write time, not in a nightly job somebody has to trust. By the time the rep opens the contact, the fields the routing rules need are already there.
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RM R. Mehta head of ops · Acme COO · Vertex flaggedcontact moved a warm lead
The contact left, and the CRM knew
A champion changing company is the strongest signal in the whole database and the one that normally reaches nobody. Surfacing it turns a dead record into the best lead of the week.
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import: three account rowsresolving to one…A Acme Inc mergedA acme.com canonical3 rows · 1 account · 1 owner
Three spellings, one company
“Acme Inc”, “Acme, Inc.” and a domain are one account with three owners and three forecasts. Resolving them to a canonical company is the part your customers try to do with fuzzy matching.
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DB the baseenriched in 2025 re-checking…1,180 moved updated in place✓✓✓ no export, no re-import
Refresh instead of re-import
The base is re-checked against a graph that refreshes continuously, and what changed is written back. Your customer stops running the annual clean-up project they always postpone.
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their accountsnot a sampletesting the real base…matched on their file measured, not quoted✓ a number from your own data
Coverage measured on the accounts you have
A headline match rate is an average over somebody else's file. The only number worth building a feature on is the one measured against a real sample of your customers' records.
What the feature runs on.
Person and company enrichment cover the fill; search and decision makers are what the same customers ask for next.
People Enrichment
Start here for the contact record — an identifier in, title, seniority, employer and history out, at the moment the record is written.
Company Enrichment
Start here for the account record — a domain in, industry, size, funding and headcount by department out, resolved to one canonical company.
Decision Makers
Start here for the feature after enrichment — who else at this account should be on the opportunity, kept current rather than imported once.
Company Search
Start here if prospecting is on your roadmap — accounts found by what changed, inside the system where the pipeline already lives.
Your customers' data protection review, inherited.
Embedding a data supplier means their questionnaire becomes yours. We resolve and validate our own graph rather than reselling, so a field traces to where it came from and can be corrected — and the paperwork behind that is written rather than promised.
Security & Trust Centre
EU & UK
California
Audited
What a product team
asks first
Can we sell this to our customers as our own feature?
Yes — that is the normal shape here, not an exception. What you may present as your own, and in which regions, is written into the agreement rather than published, because it differs by what you are building and who you sell to.
Are we charged for a lookup that finds nothing?
A miss returns an explicit no-match, and how misses are treated commercially is part of what we agree with you rather than something you discover on the first invoice. Ask about it directly; it is a fair question and it has a straight answer.
How current is a field when it lands on a record?
Profiles refresh continuously — 350M+ a month — and Decision Makers is monitored rather than refreshed on a cycle. For the records already in your customers' systems, the useful pattern is re-checking the base and writing back what moved.
Our customers will ask where the data came from.
And you will be able to tell them. We resolve our own graph across 18+ data sources rather than passing through a reseller, so a field can be traced and scored for confidence, and a correction actually changes something upstream.
Do we have to enrich everything, or only on demand?
Either. Most platforms enrich on write for new records and run a periodic re-check over the existing base, which keeps volume predictable. Scope is set by segment and by region — we scope it with you rather than selling a size you do not need.
Test the fill rate on your own base.
Send a sample of the records your customers actually hold. The match rate that comes back is the only one worth putting in a roadmap.