Privacy Policy

Q-VEDHA is designed as a research and neural interface. Depending on configuration, the system processes session metadata (timestamps, connection status, interaction events) and content provided during a session (inputs, prompts, feedback).

Information processed by Q-VEDHA is used to deliver the core experience: real-time binding, signal processing, and conversational responses. In some deployments, anonymised or aggregated data may be used to improve system entropy and response quality.

Session data may be stored for a limited period to provide history, debugging, or research insights. Retention periods vary by deployment configuration. Operators are responsible for establishing retention policies compatible with local regulations.

Q-VEDHA may rely on external AI models, cloud infrastructure, and networking providers (relay/signalling). Data may transit through these providers to deliver the service. We prioritize providers with strict non-retention policies where possible.

We employ high-entropy encryption and organizational measures to protect deployments. However, no neural interface is completely immune to interception. Avoid transmitting highly sensitive personal identifiers not required for the session.