Privacy Policy for White Bear
Last Updated: June 2026
Your growth logs, analytics tracking, and AI-driven inputs are strictly protected. Learn exactly how White Bear manages, isolates, and safeguards your data profiles.
1. Information We Collect
White Bear extracts and processes intentional user inputs to execute workspace logic. This includes account credentials (name, email password hashes), custom-defined objective matrices, automated to-do structures, daily progress statistics, and contextual data explicitly typed within reflection and journal text logs.
2. Utilization of Data Payloads
Collected telemetry data is utilized solely to deliver, protect, and refine ecosystem functionality. Specifically, your reflection records and habit routines are parsed to train your isolated, local AI assistant parameters, automate task roll-over mechanics, and synthesize visual analytics performance sheets.
3. Generative AI Sub-Processors
To generate personalized roadmap layers, specific text packages are transmitted securely to validated external AI parsing engines. These text vectors are handled strictly via anonymized API token streams. Our partners maintain strict confidentiality guidelines and are explicitly prohibited from using White Bear context packets to train public foundation models.
4. Absolute Encryption Standards
Security is forged directly into our framework layers. All data moving between your hardware device and workspace servers is guarded via Transport Layer Security (TLS 1.3). Static data repositories leverage Advanced Encryption Standard (AES-256) architectures, guaranteeing that your personal growth workspace remains entirely confidential.
5. Retention and Explicit Deletion Rights
We store data payloads exclusively as long as your workspace profile remains active. You hold complete sovereign authority over your digital history. You may instantly trigger an absolute database purge directly from your Account Management hub, which systematically eradicates all associated server-side nodes permanently.
6. Tracking & Telemetry Insights
We deploy localized analytical variables to track screen transitions, latency spikes, and system health performance. This profiling does not capture individual tracking indicators or external browsing history, remaining entirely focused on optimizing structural platform response times.
Compliance and Audits
To initiate data collection transparency reports, file structural privacy audits, or request deep technical stack configuration insights, please reach out directly to the compliance framework team: