BranchLab

About BranchLab

BranchLab provides ID-less audience modeling and cleanroom technology for healthcare advertising, utilizing machine learning to create predictive audience models based on a proprietary database of over 300 million anonymized patients and 2.1 million healthcare providers. This approach ensures compliance with privacy regulations across all 50 states while enhancing the effectiveness of targeted advertising campaigns for healthcare brands.

```xml <problem> Healthcare advertisers face increasing challenges in reaching target audiences due to evolving privacy regulations and the limitations of traditional, ID-based targeting methods. These methods often struggle to comply with stringent state privacy laws, hindering the effectiveness of advertising campaigns. </problem> <solution> BranchLab offers an ID-less audience modeling and cleanroom technology designed for privacy-first healthcare advertising. By leveraging machine learning and a proprietary database called HealthGraph™, BranchLab creates predictive audience models based on anonymized patient and healthcare provider data. This approach enables advertisers to target specific patient populations while adhering to privacy regulations across all 50 US states. The platform identifies over-indexing publisher inventory against patient populations, ensuring secure activation aligned with client goals. </solution> <features> - HealthGraph™: A proprietary database of anonymized health information for over 300 million insured US residents and 2.1 million healthcare providers. - AI and Machine Learning: Predictive audience models that identify relevant publisher inventory. - ID-less Technology: Complies with state privacy regulations without relying on traditional identifiers. - Cleanroom Environment: Secure environment for data collaboration and analysis. - Daily Updates: HealthGraph™ is updated daily with over 15 billion healthcare transactions. </features> <target_audience> The primary customers are healthcare advertisers and publishers seeking privacy-compliant solutions for targeted advertising campaigns. </target_audience> ```

What does BranchLab do?

BranchLab provides ID-less audience modeling and cleanroom technology for healthcare advertising, utilizing machine learning to create predictive audience models based on a proprietary database of over 300 million anonymized patients and 2.1 million healthcare providers. This approach ensures compliance with privacy regulations across all 50 states while enhancing the effectiveness of targeted advertising campaigns for healthcare brands.

Where is BranchLab located?

BranchLab is based in East New York, United States.

When was BranchLab founded?

BranchLab was founded in 2024.

Who founded BranchLab?

BranchLab was founded by Michael Parkes and Chris Cagle.

  • Michael Parkes - Co-Founder/President/CRO
  • Chris Cagle - Co-Founder/CTO
Location
East New York, United States
Founded
2024
Employees
18 employees
Major Investors
nvp capital
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BranchLab

Score: 100/100
AI-Generated Company Overview (experimental) – could contain errors

Executive Summary

BranchLab provides ID-less audience modeling and cleanroom technology for healthcare advertising, utilizing machine learning to create predictive audience models based on a proprietary database of over 300 million anonymized patients and 2.1 million healthcare providers. This approach ensures compliance with privacy regulations across all 50 states while enhancing the effectiveness of targeted advertising campaigns for healthcare brands.

branchlab.com1K+
cb
Crunchbase
Founded 2024East New York, United States

Funding

Major Investors

nvp capital

Team (15+)

Michael Parkes

Co-Founder/President/CRO

Chris Cagle

Co-Founder/CTO

Company Description

Problem

Healthcare advertisers face increasing challenges in reaching target audiences due to evolving privacy regulations and the limitations of traditional, ID-based targeting methods. These methods often struggle to comply with stringent state privacy laws, hindering the effectiveness of advertising campaigns.

Solution

BranchLab offers an ID-less audience modeling and cleanroom technology designed for privacy-first healthcare advertising. By leveraging machine learning and a proprietary database called HealthGraph™, BranchLab creates predictive audience models based on anonymized patient and healthcare provider data. This approach enables advertisers to target specific patient populations while adhering to privacy regulations across all 50 US states. The platform identifies over-indexing publisher inventory against patient populations, ensuring secure activation aligned with client goals.

Features

HealthGraph™: A proprietary database of anonymized health information for over 300 million insured US residents and 2.1 million healthcare providers.

AI and Machine Learning: Predictive audience models that identify relevant publisher inventory.

ID-less Technology: Complies with state privacy regulations without relying on traditional identifiers.

Cleanroom Environment: Secure environment for data collaboration and analysis.

Daily Updates: HealthGraph™ is updated daily with over 15 billion healthcare transactions.

Target Audience

The primary customers are healthcare advertisers and publishers seeking privacy-compliant solutions for targeted advertising campaigns.