Introduction
Parell is an operational platform designed for ski schools and training organizations. Our services involve managing operational data, student profiles, instructor feedback, and decision-support intelligence. We take data protection seriously and design our systems to respect privacy, security, and data minimization principles by default.
Information We Collect
We collect only the information necessary to operate and improve the platform. This includes account information such as name, email address, organization and role; operational data such as student profiles, group assignments, instructor confirmations, and reassignment events; technical usage data like IP address, browser type, device information, and system logs; and communication data submitted through contact forms or support requests.
How We Use Your Information
We use this information to operate and maintain the Parell platform, support group assignment workflows, improve AI-assisted recommendations, analyze operational outcomes, provide customer support, ensure platform security, and comply with legal obligations. We do not sell personal data and do not use operational data for unrelated advertising purposes.
AI and Data Processing
Parell uses machine learning models to support operational decision-making. AI recommendations are advisory only. Human overrides and feedback are captured as structured signals and used to improve system performance over time. No automated decisions are enforced without human control.
Data Retention and Security
We retain data only as long as necessary to provide the service and comply with legal requirements. We implement industry-standard security measures, including access controls, encrypted data storage, and monitoring for unauthorized access. Depending on your jurisdiction, you may have rights to access, correct, or delete your personal data. Requests can be made through your organization or by contacting us directly.
Changes to This Privacy Policy
We may update this Privacy Policy from time to time. Material changes will be reflected by updating the date above and, where appropriate, notifying users through the platform.