Pyte's Consumer Data Enrichment Solution

The Problem

Marketing companies are reluctant to share PII for campaigns because of privacy and compliance concerns

Spending 6+ months to put data privacy and security contracts in place with your partners & vendors
Trusting your partner or a data clean room (DCR) to keep your data private & secure
Increasing your risk & costs to protect sensitive data against hacks and breaches

The Solution

Collaborate and run models on PII data that remains protected

How it works

Use Pyte’s secure computation technology to match and run lookalike models from all participants on encrypted data without ever moving or decrypting it.

Deploy Pyte’s SMPC software on your cloud platform (your partners do the same)

Select the analysis you want to do (e.g., match, joint analysis, lookalike audience)

Partner approves dataset analysis, and lets it run

All (or a subset) of participants receive the outcome of the analysis

REQUEST A DEMO

The project has the potential to offer a paradigm shift in how US enterprise companies leverage their PII data seats in a secure collaborative environment. While often impractical to aggregate disparate data sources due to data privacy restrictions, we anticipate using Pyte’s software in a privacy-compliant way to enable secure data aggregation and collaboration while reducing our operational costs.

Chief Analytics Officer

Global Advertising Holding Co. Subsidiary for Data-Driven Marketing

Run audience overlap and lookalike models without sharing personal information

Companies That Trust Pyte

The Problem

Marketing companies are reluctant to share PII for campaigns because of privacy and compliance concerns

The Solution

Collaborate and run models on PII data that remains protected

How it works

Find out why the world's largest brands and agencies work with Pyte