Perseptiv implements strict policies and procedures to ensure your data always stays yours.
Your data is processed strictly to deliver the response you requested, then immediately deleted. It is never stored, logged, or reused beyond what is needed to fulfill your request.
The AI model providers and subprocessors we partner with are contractually prohibited from using customer data for training, model improvement, or any secondary purpose.
Zero Data Retention (ZDR) is a privacy and security approach where a service does not store your content after it has been processed to complete your request. Your content might include things like text you submit, documents you upload, or information you provide in a workflow. With ZDR, that content is used to generate the result you asked for and then is not kept by the provider for later viewing, reuse, or analysis.
When ZDR is enabled, your content is handled only long enough to deliver the requested output. After processing, the service is designed so that your content is not saved to long-term storage (for example, it isn’t stored in a database or retained as a historical record tied to your account). This reduces the amount of sensitive information that exists within a vendor’s environment over time.
ZDR reduces risk by limiting how much data is available to be exposed later. If content is not stored, there is less sensitive information “at rest” in the provider’s systems—meaning less data that could be accessed inappropriately, leaked due to misconfiguration, or obtained in a security incident. It also helps align with confidentiality expectations when you’re sharing personal, financial, or proprietary information.
Perseptiv is designed to support a privacy-first approach to AI: your data is not used to train AI models. For AI processing, Perseptiv has partnered with Open Router under zero data retention. Perseptiv uses zero data retention handling where AI subprocessors delete data immediately after first use, keep it only for the minimum time needed to complete processing, and do not use it for model training. You can learn more about Open Router's approach to ZDR here: https://openrouter.ai/docs/guides/features/zdr
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