Discover & search

Find accounts by describing them

Find companies and people by describing what you need, in plain language, instead of assembling boolean queries and guessing at category codes.

What it does

Search that reads the request rather than the syntax

Find what to add. Most teams buy more records before they have fixed the ones they have, and the order is usually backwards — a corrected record is worth more than a new one, and cheaper.

Natural-language search over companies and the people at them
Semantic retrieval that understands intent, not just keywords
Result sets you can feed straight into an outbound program or a product

Working with results

What comes back, and what you can do with it

A result set is only useful if it survives contact with the system that has to consume it. These are the three things that decide whether it does.

Describe the account, do not construct the query

You say what you are looking for the way you would say it to a colleague, and the system works out which records satisfy it. No boolean syntax, and no guessing which category code someone else filed the company under.

Semantics, not keyword overlap

Retrieval understands intent rather than matching strings, so a description that is accurate but uses different words from the record still finds it. Exact-string matching discards that signal, and it is often the most useful signal in the request.

Results feed a program or a product

A result set is structured to go straight into an outbound program or a product surface, rather than arriving as a list a developer has to reshape before anything can use it.

Search runs over the same dataset as the data feeds, so a company found here is the same company you enrich. If the records you already hold need repair first, clean and enrich is the other half. How the rate is set is on the pricing page.

How we work

We will prove it on your data before you commit to anything wider

Bring a slice of the datasets you run on today. We resolve them against the same identities our feeds use and show you exactly what changes — before you are depending on it.

You test it on your own records
Not a demo dataset. Your data, resolved against the same identity graph, so you can see the real delta rather than a curated example.
You see every change we make
If a record is wrong, point at the field. We trace it to the signal that produced it, fix it against the source rather than over the top, and write the reason onto the field so the next read shows what moved.
Corrections land everywhere
A fix shows up in the feeds, in enrichment, and in search — not only in the place you happened to notice it. One dataset means one correction, not three.
Enrichment is billed per accepted outcome
You pay for records actually fixed. A search that returns nothing is not an error and not an invoice, and a retry loop wrapped around a miss does not produce a better answer.
We will tell you if it does not fit
If your use case is better served by something else, we will say so. A short conversation is worth more than a pilot that goes nowhere.

If you are running a security or procurement review, ask. We will walk you through the whole picture — what we hold, how we handle it, and how a correction gets made — before you commit to anything.

Reach us at [email protected].

Bring a slice of your own data and we will show you where it breaks

Start with the datasets you already run on. We will resolve them against the same identities our feeds use and show you what changes before anything wider is committed.

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