Skip to main content
H

Habu

Provides a data clean room platform that enables businesses to securely collaborate and analyze decentralized data without moving it, preserving privacy and compliance. This technology allows organizations to derive actionable insights from walled gardens and private datasets, supporting use cases like advanced segmentation, measurement, and model enrichment without requiring coding expertise.

Concord, United StatesFounded 2018363K+ followers
Updated 20 months ago

Funding

$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations struggle to collaborate on data analysis due to privacy concerns, regulatory restrictions, and the need to protect sensitive information. Sharing data directly can expose confidential details, while traditional methods of anonymization may reduce the data's utility for advanced analytics and machine learning.

Solution

The platform provides a secure data clean room environment that enables businesses to collaborate and analyze decentralized data without direct data sharing. It allows organizations to derive actionable insights from various data sources while preserving privacy and complying with data governance policies. The platform supports use cases such as advanced segmentation, measurement, and model enrichment, allowing users to perform complex analyses without requiring coding expertise or exposing raw data. By leveraging privacy-enhancing technologies, the platform ensures that sensitive information remains protected throughout the collaboration process.

Target Audience

The primary customers are enterprises across various industries, including media, retail, CPG, financial services, and healthcare, seeking to collaborate on data analysis while maintaining privacy and compliance.

Features

  • Secure data clean room environment for privacy-preserving data collaboration
  • Support for advanced analytics, segmentation, measurement, and model enrichment
  • Integration with existing tech stacks through interoperable software
  • Customizable clean room configurations with easy-to-use building blocks
  • Out-of-the-box queries in plain language for business users
  • Role-based access control and data governance features
  • Compatibility with leading cloud platforms like Snowflake, Databricks, and Google Cloud
This profile is AI-generated and may contain inaccuracies.