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California AB 2013 Compliance
CoverForMe LLC provides generative AI services for voice transcription and summarization. We are committed to extreme transparency regarding how your data is processed.
Our services are powered by models and technology from OpenAI, Vapi, Google Gemini, and Firecrawl (for web data extraction).
CoverForMe LLC does not "train" or "fine-tune" foundational artificial intelligence models. Our technology is built on a "Zero-Data Retention" (ZDR) architecture for all third-party AI processing. We do not use call transcripts, raw audio recordings (Sensory Data), or metadata to modify the weights, biases, or performance of the underlying AI models provided by our partners (OpenAI, Vapi, Gemini).
Our "modifications" are limited to Proprietary Prompt Engineering. This means we provide the AI with specific, real-time instructions and structural templates to ensure your summaries are accurate and professional. These instructions are "stateless," meaning the AI uses them to process your specific request and then immediately "forgets" the data.
CoverForMe LLC does not utilize synthetic data generation in the development or modification of our service interfaces.
We exclusively use the enterprise-grade API tiers of our partners (OpenAI, Google, and Vapi). Unlike consumer versions of these tools (like the free version of ChatGPT or Gemini), our API-level agreements ensure that your data is not used for model training by default.
Limited Audio Access: We process Sensory Data in the form of raw voice audio solely to generate text transcripts. While raw audio is stored by our third-party infrastructure partners (Vapi) for processing, CoverForMe LLC does not fetch or store raw audio recordings on our own servers, and these files are never accessible to the User. This means confidential conversations (including those of your callers) remain private and are never 'learned' by the AI.
For more information on the logic and intended output of our AI systems, please refer to the **Automated Decision-Making Technology (ADMT)** section of our Privacy Policy.
For documentation on the underlying models' training data, visit the OpenAI Model Documentation and Google's Gemini Model Documentation.