Visualize Spaces LLC
Privacy Policy
This Privacy Policy describes how Visualize Spaces LLC collects, uses, and discloses your personal information when you visit or use our services. We value your privacy and are committed to protecting your personal data in accordance with applicable legal standards.
1. Information We Collect
We collect information that you provide directly to us, such as your name, email address, and project requirements when you fill out a form or initiate a calibration request. We may also collect technical data including IP addresses, browser types, and usage patterns through cookies and similar technologies to improve our site performance and user experience.
2. How We Use Information
Your information is utilized to process your service requests, maintain our partnership coordination, and provide updates regarding Visualize Spaces LLC services. We may also use this data to calculate technical parameters for our 3D visualizations, perform design audits, and ensure the operational integrity of our facility mapping systems.
3. User Responsibilities
As a user of our technical drafting and engineering portfolio services, you are responsible for providing accurate facility data and maintaining the confidentiality of any shared documentation. You agree to use our services in compliance with all industrial standards and project management protocols defined during our partnership initiation.
4. Data Security
We implement professional-grade security measures designed to protect your drawings, data models, and personal identifiers from unauthorized access or alteration. While no digital system is entirely immune to risk, Visualize Spaces LLC strives to maintain the highest levels of structural data integrity and client confidentiality.
5. Contact Information
For questions or requests regarding your data rights or these terms, please contact our office in Kailua-Kona, HI, or reach out directly via email at hello@visualizespaces.com. We are committed to transparency in our technical visualization workflows and data handling practices.