Agentic identity resolution

Bring customer
identity resolution
in-house.

An AI agent that learns your data, works out the matching rules, and builds your customer identity graph, with your team in the loop.

You know your customers. Condor does the matching work.

Different records. One customer.CRM, store, and loyalty records connect through Condor into one resolved identity. CRM RECORDSTORE RECORDLOYALTY RECORDAlex MorganA. MorganAlex Morganalex.morgan@example.comalex.morgan@example.comMember #5208 AMONE CUSTOMER DIFFERENT RECORDS. ONE CUSTOMER.
Built to work with
your customer data
SnowflakeBigQueryDatabricksPostgreSQLDuckDB

From a conversation to a customer graph

Give it the goal.
Watch the work happen.

This 53-second recording follows Condor from raw customer tables to a trained match model and a published graph.

Recorded session highlights · Includes fast-forwarded sections Open video ↗

See what Condor can do with your data.

Book a demo

A different way to resolve identity

Move from managing a project
to working with an agent.

01

Get to usable identity sooner.

Condor handles the work from first look at your sources to a published graph, all in one workspace, so nothing stalls between handoffs.

02

Hand off the tedious parts.

Field mapping, rule writing, and reviewing match examples go to the agent. Your team weighs in where judgment matters.

03

Keep the know-how in-house.

Your team understands how customers get matched and can adjust the logic as your data and business change.

Purpose-built for customer identity

The right intelligence.
The tools to
put it to work.

Condor brings business context, specialized AI models, and identity-resolution tools together in one agent workspace.

Understands your data

Discovers what your fields mean and how customer information fits together across sources.

Learns your rules

Tell it what counts as the same customer in your business, and it applies that guidance throughout.

Sees it through

Uses specialized models and identity tools to go from reviewing examples all the way to a published graph.

Shows its work

Every match links back to the source records and the evidence behind it.

A result your team can use

One customer.
The whole picture.
Evidence included.

Turn fragmented records into stable customer IDs and unified profiles. See what was connected, where it came from, and why it belongs together.

Explore the outputs
AM

Alex Morgan

CUSTOMER · C-008421

Resolved
Email
alex.morgan@example.com
Connected records
3 records · 1 customer

A customer across your systems

CRM · Alex MorganCRM-1042
Store · A. MorganSHOP-8831
Loyalty · Alex MorganLOY-5208

Shared email and phone, supported by name similarity.

Illustrative customer profile · Synthetic data

A shared foundation

For the people connecting data.
And the people using it.

Data leaders

Identity you can operate.

Unify source records, see exactly why records matched, and hand downstream teams customer IDs they can rely on.

For your data team

Marketing leaders

A customer view you can build on.

Understand customers across systems, so analysis, segmentation, and audiences all start from the same customer list.

For your marketing team

Good questions

Before we
get to work.

What do we need to get started?

Access to a supported database or warehouse with your customer records. Condor looks through what’s there and helps you pick the sources and fields to use. We’ll go over connections and access in your demo.

How much of the process does the agent handle?

Most of it: discovery, data prep, writing match rules, training the model, and publishing the graph. Your team supplies business context, reviews the work, and signs off on anything significant.

Can we explain or change the matching?

Yes. You can see every rule and the evidence behind it, give the agent new guidance, and review changes before they go live. The published graph stays linked to the source records.

What does our team get at the end?

A customer identity graph with stable customer IDs, linked source records, and golden profiles when configured. These outputs give analytics and downstream customer workflows a consistent identity foundation.

Does in-house mean we have to host it ourselves?

No. In-house means your team owns and runs identity resolution with Condor, not a vendor or consultant. Deployment depends on your environment, and we’ll cover the options in your demo.

Your data. Your customers.
Your identity graph.

See how Condor puts identity resolution in your team’s hands.

Book a demo