Your customers churn when the data is wrong.
People, companies and the changes between them, from one graph with one contract — so the account, the buying committee and the trigger that makes them worth calling all come from the same place and agree with each other.
Teams already building on the graph.
Platforms and businesses shipping their own products on ZipLabs data.
When data is the product, the seams show.
Your customer does not know how many vendors sit behind your screen. They only see the field that was wrong.
Five vendors, five versions of one company
Headcount from one, funding from another, the leadership team from a third. Your engineers spend their quarter reconciling suppliers instead of building the thing you actually sell.
A record starts expiring the day it lands
People move, companies restructure, teams get renamed. A file bought in January is a slow apology by June, and the person who notices first is your customer.
You cannot answer where a field came from
Data bought through layers arrives without provenance. When an enterprise buyer asks how you know something, or asks you to remove it, there is nobody upstream to ask.
One supplier behind the whole screen.
Each of these is something your product can promise because the layer underneath it is a single reconciled graph.
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VP V. Prasad director, 2024 VP eng · current verified4 in the committee monitored
The buying committee, kept current
Who decides at an account, not who once held the title. Decision Makers is continuously monitored, so the name your product shows is the name that will answer the phone.
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five suppliersone graphno reconciliation layer to maintain
One graph instead of five contracts
People, companies, leadership and change already reconciled against each other before you receive them. The integration work you were going to do is the work we did.
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NW northwind.io a domain saas · 900 staff empty completeresolving the company… joining the people… funding, headcount, leadership
A domain in, the company out
One call fills the record your customer is looking at — industry, size, funding, headcount by department. No second lookup, no partial screen while a slower vendor answers.
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watch: 1,400 tracked accountsreading the week…MD Meridian series BVL Vertex Labs new CRO17 accounts moved this week
The trigger that makes an account worth calling
Funding, leadership change, hiring against a function. Shipping the reason alongside the record is the difference between a directory and a product somebody renews.
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DB your databaselast file, Jan refreshing…350M+ monthly your cadence✓✓✓ no re-buy, no migration
Records that refresh instead of expire
Profiles are refreshed continuously and delivered on the schedule you set. Freshness stops being an annual purchasing decision and becomes a property of the pipe.
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18+ sourcesfield-level traceableanswering the audit…where did this come from answerable✓ a provenance answer you can give
An answer when the enterprise buyer asks
We resolve our own graph rather than reselling somebody else's, so a field traces to where it came from and carries a confidence score. That is what unblocks a security review you would otherwise lose.
Bulk underneath, APIs on top.
Most platforms take the datasets to power their own index and keep the APIs for the moment a user asks for something that is not in it yet.
People Dataset
Start here for the person graph in your own warehouse, refreshed on the cadence you agree, so your search returns your data at your latency.
Company Dataset
Start here for companies joined to the people inside them, so an account record and its contacts are never two different vintages.
Decision Makers
Start here for the buying committee at any company your users name, continuously monitored rather than refreshed on a schedule.
Company Enrichment
Start here for the live call — a domain your index has never seen, filled in while the user is still looking at the screen.
Your customers' diligence lands on us too.
When you embed a data layer, your buyer's security review becomes a question about your supplier. We resolve and validate our own graph rather than reselling, which is why a field can be traced, scored and corrected — and why you can answer rather than forward the question.
Security & Trust Centre
EU & UK
California
Audited
What a platform team
asks first
Can we serve this data to our own customers?
That is what the dataset arrangement exists for — it is the normal shape of this relationship, not an exception we tolerate. The specific terms, volumes and regions are written into the agreement with you rather than published, because they differ by what you are building.
Are you going to compete with us?
We sell data, not a sales-intelligence application. Ember exists so somebody can see an API return a real record in a browser; it is a demonstration layer, it is not sold, and it is not a product line. The graph is the business.
How is this different from what we buy today?
Mostly in that it is one graph rather than an assembly. Person, company, leadership and change are reconciled against each other before delivery across 18+ data sources, so you are not maintaining a join between suppliers who disagree about how many people work at Northwind.
What happens when a record is wrong?
Tell us and we fix it in the graph, which is only possible because it is ours. A reseller can only pass your complaint upstream and wait, and that is the difference your support team feels every week.
Do we have to take the whole graph?
No. Scope is set by segment and by region — the companies, the roles and the geographies your product actually serves. We scope it with you rather than selling a size you do not need.
Test it on the records you get complaints about.
Send the accounts your customers tell you are wrong. That is a harder sample than a benchmark file and a much faster answer.