# Controlled AI Systems

> Engineering privacy-first, reliable AI workflows with explicit review points, clear data boundaries, local-first processing, and operational discipline.

- **Provider**: Rundax (https://rundax.com)
- **Compliance**: GDPR-native, EU privacy principles by default
- **Target Audience**: Organizations handling sensitive customer data, proprietary business logic, or regulated workflows

## Core Architectural Principles

1. **Zero Unnecessary Data Leakage**: Sensitive customer data is never sent to public model training pools or unnecessary third-party endpoints.
2. **Review Points & Fallback Paths**: AI systems output structured suggestions with human approval gates rather than unmonitored autonomous execution.
3. **Local-First & Right-Sized Models**: Deploying small, fine-tuned, or private models where heavy cloud APIs introduce liability or excessive latency.
4. **Operational Reliability**: Comprehensive logging, circuit breakers, and deterministic fallback procedures when models fail or hallucinate.

Canonical URL: https://rundax.com/#services
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