Privacy Architecture Policy

1. Foundational Architecture & Scope

This Privacy Architecture Policy governs all software platforms, autonomous AI agent pipelines, distributed event meshes, and cloud lakehouses engineered by Cafronic Studio Lab LLC ("Cafronic", "we", "us"). It establishes our contractual standards regarding the collection, processing, storage, and retention of digital assets, proprietary data schemas, model weights, and telemetry.

2. Unconditional Zero-Model-Training Guarantee

Cafronic operates under a strict, mathematically enforced Zero-Training Guarantee. Under no circumstances will any client documents, transactional database rows, vector embeddings, reasoning traces, or user interactions be utilized to train, fine-tune, distill, or evaluate foundation AI models (including but not limited to OpenAI, Anthropic, Meta Llama, Google Gemini, or Mistral AI).

All inference endpoints deployed by Cafronic utilize zero-data-retention (ZDR) commercial enterprise agreements with our underlying cloud providers, ensuring inference logs are discarded immediately following the generation of the response payload.

3. Client-Owned Cloud Infrastructure (Bring Your Own Cloud)

Whenever feasible, Cafronic architects and provisions systems directly inside your own enterprise cloud tenancy (Amazon Web Services, Microsoft Azure, Google Cloud Platform, or dedicated bare-metal clusters).

• You maintain primary root cryptographic keys and IAM authorization policies.
• Cafronic engineers access your staging and production environments exclusively via ephemeral, multi-factor authenticated, role-based access control (RBAC).
• All administrative credentials and API keys are stored in customer-controlled secret vaults (HashiCorp Vault, AWS Secrets Manager, or Azure Key Vault).

4. Ephemeral Vector Retrieval & Semantic Caching

Retrieval-Augmented Generation (RAG) pipelines engineered by Cafronic implement strict TTL (Time-To-Live) cache invalidation. Sensitive embedding chunks and cached semantic answers are purged automatically according to client-defined compliance horizons. Vector collections in Qdrant, Pinecone, or pgvector are partitioned with hardware-level tenant isolation keys.

5. Telemetry, Analytics, and Cookies

Our public marketing platform (cafronic.com) does NOT use invasive third-party tracking pixels, advertising beacons, or surveillance cookies. We collect strictly anonymized, server-side performance telemetry (such as HTTP response latency and error rates) to maintain global edge uptime and compute health.

6. GDPR, CCPA & Global Compliance Rights

Depending on your geographic jurisdiction, enterprise clients and authorized end-users maintain rights of data portability, deletion, audit, and rectification. We engineer all production data schemas with deterministic deletion endpoints ("Right to be Forgotten") to ensure compliance with European Union GDPR, California CCPA/CPRA, and relevant global privacy frameworks.