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Profound Networks is a Senzing Trusted Partner

Resolve Digital Entities at Scale

Profound networks partners with senzing entity resolution

About Profound Digital Business Intelligence (DBI)

Profound Networks’ Digital Business Intelligence (DBI) provides empirically built, domain-anchored intelligence across 300 million domains and 12 billion subdomains, with up to 10 years of history. DBI captures hundreds of digital attributes – such as cloud adoption, security posture, DNS features, and device/IP metadata – to deliver a comprehensive digital footprint.

For customers without reliable domain information, Profound’s Digital Entity Resolution (DER) capability maps company names to verified root domains, with transparent confidence scores and audit trails. This ensures that DBI enrichment lands on the correct entity – even in messy or ambiguous datasets.

COMBINE

Combine Profound’s domain-based DBI with Senzing’s AI-driven entity resolution to unify digital and offline records. This joint solution links messy, fragmented data to create persistent, enriched entity profiles at scale – supporting analytics, segmentation, compliance, market intelligence, and more.

KEY BENEFITS

  • Enrich customer and prospect records with verified, domain-anchored digital intelligence (technographics, cloud, security, IP/device signals)
  • Strengthen internal data by linking online (domain/UDL) and offline records with Senzing – optionally using DER to append/validate domains for higher match confidence
Profound networks data & how to combine it with your data

Try It Yourself In 4 Steps

(Real Results in 15 Minutes Or Less)

Get An Eval License

Request for your free 30-day 500K record license.
(emailed to you within 24 hours)

Profound networks partners with senzing entity resolution

Las Vegas Snapshot

Profound’s DBI dataset delivers verified digital-footprint intelligence across domains, DNS, cloud, security, and technographics to help you evaluate and segment high-potential business accounts. Integrated with Senzing’s entity resolution, it validates domains, links digital + offline identifiers, and supports risk profiling, segmentation, and Customer 360 initiatives.

Organizations: 28,040

Download Additional Las Vegas Data

PPP Loan
Data

Details of Paycheck Protection Program loans over $150,000, including recipient names, loan amounts, and locations.

Organizations: 3,488

Safegraph senzing data provider partner

A global database of points of interest (POIs) containing detailed location, business, and operational data.

 

Organizations: 79,946

Brightquery entity resolution

Dataset featuring U.S. businesses with detailed financials, including revenue, employee counts, and growth metrics, along with Directors and Officers data for mapping corporate leadership and relationships.

Organizations: 50,658

The true power of Senzing Entity Resolution lies in the ability to quickly and accurately combine diverse datasets, despite cross-cultural, inconsistent, messy, and deceitful data. [Note: While the Desktop Eval Tool is only suited for small data sets, the Senzing SDK is designed for data at any scale.]

Profound networks + senzing entity resolution

Now you’re ready to drag your snapshots into the Desktop Eval Tool where each will be Entity Resolved in one click  Watch how easy this is in this short video:

YouTube video

For the quickest experience, use one of these CSV templates by downloading it and replacing the placeholder records with your own data from the same geographic region you selected above. If you want to make your own Senzing-ready JSON, refer to this technical specification.

Pick CSV Template

Svg+xml;charset=utf data showcase - profound networks -

Simplified Organizational CSV Template

This template makes for the fastest experimentation as it includes only organization name, address, phone, fax, web address & tax ID.

What Is Senzing-Ready Data?

How Do I Use Senzing-Ready Data?

How Do I Make My Own Senzing-Ready Data?

The Small Print

Read our Terms of Service which includes important call-outs like:
Senzing-ready data is provided “as is”.
Senzing-ready data are “out-of-date” snapshots meant for evaluation, not any operational use.
Regardless of whether it’s a human or an algorithm, under-matching (false negatives) and overmatching (false positives) happen.

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