Our Commitment to Privacy
At Hund, protecting your privacy and personal data is a responsibility we take with the utmost seriousness. Our privacy program is built on the principles of transparency, control, and compliance with global privacy regulations like the GDPR. This page provides a central resource for understanding our privacy practices and accessing key documents.
Privacy Policy
Read our full Privacy Policy to understand what data we collect, how we use it, and the rights you have over your information.
Data Processing Addendum (DPA)
Our DPA is incorporated into our Master Subscription Agreement (MSA) and applies to customers subject to GDPR.
Sub-processors
We partner with a select few third-party services to help us deliver our platform. View our list of sub-processors here.
Cookie Policy
Learn about the cookies we use on our website and how you can manage your preferences.
Our Core Privacy Principles
Purpose Limitation
We only collect and process your personal data for the specific, legitimate purposes outlined in our Privacy Policy. We will not use your data for any other purpose without your consent.
Data Minimization
We are committed to collecting only the minimum amount of personal data necessary to provide and improve our services. We do not collect personal data that we do not need.
User Control & Data Rights
We believe you should have control over your data. Our Privacy Policy details your rights as a data subject under GDPR, including the right to access, rectify, or erase your personal information. To exercise your rights, please contact our Privacy Compliance Officer at privacy@hund.io.
Security by Design
Privacy and security are not afterthoughts; they are built into our systems from the ground up. We employ robust technical and organizational measures to protect your data from unauthorized access, use, or disclosure.
Responsible Innovation & AI
We are committed to the responsible use of technology. Our AI & Model Governance Principles make our unequivocal commitment that we will never use your data to train or fine-tune generative models. It outlines our human-centric, security-first approach to any potential AI-assisted features.