Last Updated: April 17, 2025
GDPR (General Data Protection Regulation), introduced by the European Union in April 2016, is a regulation that strengthens individuals' rights to control their personal data within the EU.
CCPA (California Consumer Privacy Act), introduced in 2017, is a similar privacy law that defines the rights of California consumers to know and control how their personal information is collected and used by companies.
Both GDPR and CCPA are widely recognized around the world as standard-setting regulations for data protection and privacy, establishing requirements that companies must follow to safeguard user privacy and data security.
Huski.ai is a Delaware corporation based in the United States. We provide advanced AI technology and data services for trademark law. At Huski.ai, data privacy and user protection are our top priorities. As a leader in data science and AI technology, we are committed to offering services that meet the highest standards of security and privacy.
We protect our users' data, never sell it to third parties, and only collect what is necessary to provide our services. You can learn more in our Terms of Use, Privacy Policy, and our Security page. You may also choose to opt out by emailing us at contact@huski.ai.
We provide annual GDPR and CCPA training for our employees. Every team member at Huski.ai understands the importance of protecting user data, and we have defined processes to ensure compliance. We maintain a complete data map and conduct impact analyses on data privacy across all sources. In addition, we have implemented a centralized logging system to ensure that any privacy concerns are promptly reported, identified, and resolved.
For privacy concerns, issue reporting, general feedback, or questions, you can contact us at contact@huski.ai. For data deletion requests, we will take prompt action to ensure the request is completed as quickly as possible and will notify you upon completion.
We follow industry best practices in secure system design and privacy-preserving data governance. This includes, but is not limited to, encrypting all traffic, implementing separation-of-duty principles in our system architecture, and clearly defining engineering responsibilities.