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Embed eCore data inside your product

Our OEM / Embedded Data Partnership is built for companies that want to use eCore data or workflows inside their own platform, product, or customer experience.

A strong fit for products that need embedded contact, account, or data quality support.

Some products need data built in, not added later

For some companies, data is not just a service need. It is part of the product itself. That may include:

  • Contact data inside a workflow
  • Account data inside a product view
  • Data validation inside a user action
  • Enrichment behind the scenes
  • Embedded support for customer-facing workflows

In these cases, the data needs to live inside the experience.

Use eCore as an embedded data layer

Our OEM / Embedded Data Partnership is built for companies that want to bring eCore data or data workflows directly into their product.

This can support:

Embedded contact data

Embedded account data

Behind-the-scenes enrichment

Validation inside product flows

Packaged data access inside a customer experience

Repeatable data support for platform users

Not just a partner around the product. A partner inside the product.

Who this is for

This is a strong fit for:

  • Software companies
  • Data products
  • Workflow platforms
  • Embedded GTM tools
  • CRM-related products
  • Customer-facing platforms that need strong record data

A practical path for embedded data needs

Companies choose this partnership model when they want to:

  • Improve product value
  • Reduce the burden of building data layers alone
  • Add contact or account data to the user experience
  • Support customer workflows with better data
  • Move faster with a proven data partner

Common embedded use cases

Embedded partnership can support:

  • Contact enrichment
  • Account enrichment
  • Record validation
  • Phone and email data support
  • Audience data access
  • Workflow-level data checks
  • Data support inside end-user actions

How OEM / Embedded partnership works

1.

Review the product need

We learn what your product needs to deliver.

2.

Define the embedded model

We align on data type, scope, and workflow fit.

3.

Support the implementation

We help shape the right data layer for the use case.

4.

Grow with the product

We refine and expand support as usage grows.

Need contact or account data inside your product?

If your platform or product needs embedded data support, let's talk about the right model.

Partner FAQs

Yes. We support workflows where automation alone is not enough, including deeper research when needed.