Privacy Policy

1. Introduction

Welcome to SIVONX ("we," "our," or "us"). We are committed to protecting your privacy and ensuring the security of your data, especially in the context of our Artificial Intelligence and Machine Learning services. This Privacy Policy outlines how we collect, use, process, and safeguard your information when you access our website, utilize our proprietary models, or engage with our enterprise solutions.

By using SIVONX services, you consent to the data practices described in this policy. We adhere to strict ethical guidelines regarding the training and deployment of AI agents.

2. Data Collection & Proprietary Models

We collect information to provide better services to all our users. This includes:

• Personal Information: Name, email address, enterprise affiliation, and contact details provided via our forms.
• Interaction Data: Metrics regarding how you interact with our AI agents, API latency logs, and session durations.
• Model Training Inputs: Data explicitly provided by enterprise partners for the purpose of fine-tuning custom models (SIVONX-Orion series). This data is isolated and never used to train our base foundation models without explicit written consent.

3. Usage of Information

The information we collect is used to:

• Provide, maintain, and improve our AI infrastructure.
• Develop new agentic workflows and capabilities.
• Ensure the safety and alignment of our models (RLHF - Reinforcement Learning from Human Feedback).
• Communicate with you regarding service updates, security alerts, and support.

4. AI Processing & Ethics

SIVONX utilizes advanced neural networks for processing data. We are transparent about our AI operations:

Automated Decision Making: Our systems may provide recommendations based on data analysis. However, critical enterprise decisions should always be reviewed by human stakeholders.

Data Isolation: Enterprise customer data is processed in isolated containers (sandboxed environments) to prevent cross-contamination or data leakage between clients.

5. Security Protocols

We implement industry-leading security measures, including:

• End-to-end encryption for data in transit and at rest (AES-256).
• Strict role-based access control (RBAC) for our internal R&D teams.
• Regular third-party security audits and penetration testing of our model endpoints.

6. Your Rights

Depending on your jurisdiction, you may have the right to access, correct, delete, or restrict the use of your personal data. You also have the right to object to the processing of your data for model training purposes.

7. Contact Us

If you have any questions about this Privacy Policy or our AI safety standards, please contact our Data Protection Officer at:

Email: legal@sivonx.space
Address: SIVONX HQ, San Francisco, CA