Privacy Policy

At OYEPA, we operate on an uncompromised standard of data integrity and private isolation. This Privacy Policy details how we handle, process, and safeguard your corporate files, system schemas, and organizational records during the engineering and deployment of your custom retrieval-augmented generation (RAG) architectures and UX systems.

1. Principles of Private Isolation

Unlike public AI services that ingest user interactions to optimize shared models, OYEPA operates under a strict protocol of isolated infrastructure.

• Zero External Leakage: No proprietary data, document sets, or vector embeddings provided to our engineering team are ever shared with public AI models or used for third-party optimization cycles.
• Algorithmic Boundary: All grounding data, database records, and pipeline logic are locked strictly into your dedicated local workspace or secure private cloud instance.
• Identity Integrity: Your organizational information remains fully partitioned, maintaining a definitive and non-intersecting operational boundary from all other project environments.

2. Information We Process

To design, audit, and deploy high-performance RAG and UX environments, we access and process specific technical elements:

• Ingestion and Test Records: Document samples, databases, API outputs, and raw textual parameters necessary to build, test, and validate chunking strategies and embedding pipelines.
• Infrastructure Telemetry: System architectures, server endpoint parameters, host environment states, and temporary access keys required to install native code directly onto your network.
• Administrative Data: Names, corporate email profiles, and transaction records handled during standard billing, communication, and project scoping.

3. Operational Access Protocols

Access to your files and development staging environments is controlled by a strict minimum-privilege structure:

• Only lead system architects explicitly assigned to your project scope are granted access keys to view or evaluate system test data.
• Any temporary server credentials, SSH keys, or cloud access permissions requested to complete a local handoff are permanently deleted from our communication threads once deployment verification is signed off.
• We do not retain permanent remote backdoors or monitoring nodes on your systems post-handover.

4. Data Retention, Purging, and Deletion

We match our data life cycle parameters strictly to active development timelines to ensure security longevity.

• Post-Handover Purge: Within 14 days of successful deployment verification and final asset handoff, all custom local document stores, temporary vector databases, and private test shards are scrubbed from our internal sandboxes.
• Pre-Handover Termination: In the event that a service cancellation or a pre-handover refund is initialized, our data lifecycle policies require an immediate, complete digital shredding of all project layouts, schemas, and source pipelines from our servers.
• Archival Limits: We preserve only standard administrative billing records, executed software services agreements, and structural code repositories for standard maintenance under our warranty framework.

5. Third-Party Interfaces and Vector Endpoints

When configuring API connections or hosting vectors, we deploy architectures designed to isolate individual transactions.

• If your system requires connections to cloud-hosted foundational models (such as private enterprise instances of OpenAI, Azure, or AWS Bedrock), data transmission is handled strictly via encrypted, non-retained enterprise data streams.
• We do not sell, exchange, rent, or distribute your technical schemas, internal documents, or user analytics data to any marketing brokers, external aggregators, or advertising networks.

6. Global Protocol Updates

This policy represents the exact factual reality of our data architecture and security controls. If changes to foundational technologies or shifting deployment protocols require structural updates, we will post the revised policy parameters directly to this location. Your continued engagement with our sandbox tools and staging environments constitutes explicit confirmation and acceptance of these data parameters.