How Condor works

One agent workspace.
The whole identity workflow.

Condor Graph gives your agent the context, tools, and execution environment to carry customer identity resolution from source data to a published graph.

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From connection to resolution

Connect and understand

Give Condor access to your supported database or warehouse. The agent identifies customer sources, interprets column meanings, and distinguishes identity information from supporting context.

Semantic catalog Email, name, phone, and identifiers mapped across your customer sources.

Develop the matching

Explain how your business recognizes a customer. Condor prepares the data, develops candidate matching rules, and evaluates their evidence for your review.

Business guidance “A shared address alone should not merge two people.”

Train and validate

Specialized AI models evaluate matching examples. Condor uses that evidence to train an identity model and evaluate its results before publication.

An identity model for your data Reviewed matching rules and labeled examples become a reusable model release.

Resolve and publish

Condor scores candidate matches, groups the records, and publishes the customer identity graph. Configure a golden profile to choose the canonical fields your team needs.

Usable customer identity Stable IDs, source memberships, match evidence, and configured golden profiles.

Inspect and keep it current

Explore the resolved identities and evidence. Refine your guidance as you learn, and use automatic updates to keep the graph current as source data changes.

An ongoing team capability Your workspace keeps the context, saved work, and published results together.

The identity-resolution harness

Intelligence needs
a place to do the work.

Condor’s harness brings together everything the agent needs to perform the workflow and keep its work grounded in your data.

Context that carries forward.

Source meanings, business guidance, reviewed rules, and saved results give each step a consistent understanding of your workspace.

Tools built for identity.

The agent can inspect data, develop and review rules, launch training, and publish graphs through purpose-built domain operations.

Work you can inspect.

See progress, review consequential changes, and trace results to the source records and evidence. Saved operations persist beyond a chat message.

AI designed for scale

Specialized models.
Coordinated by Condor.

Different parts of identity resolution need different capabilities. The conversational agent coordinates the workflow. Specialized AI models interpret fields and evaluate matching examples in parallel.

A trained identity model then scores candidate record pairs, and graph processing turns the results into connected customer identities. Condor brings those stages together in a workflow your team can operate.

Explore the workflow in a demo

The output

A customer graph.
Ready for your team.

Stable IDs let teams refer to the same customer across source systems. Golden profiles bring chosen fields into a canonical record. Match evidence makes the connections inspectable.

Fits your environment

Start where your
customer data lives.

Discuss your database connections, access requirements, and deployment needs with us. We’ll show how the workflow fits your sources and the customer outputs your team needs.

Talk through your setup

Your data. Your customers.
Your identity graph.

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

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One agent workspace.The whole identity workflow.