Security Models

Third-Party EU Hosting

AI services run on a GDPR-compliant European provider. Offers low per-token cost and scalable operations.

SECURITY & TRADEOFFS
Protection relies on EU law and contracts, not technical control. Provides minimal cost per token.

Dedicated Cloud (Enterprise Compute)

We implement exclusive AI infrastructure in a rented cloud (e.g., Azure, AWS). Company internal and can be used for other future internal Projects simultaniously.

SECURITY & TRADEOFFS
Protection via cloud isolation and enterprise controls. Higher cost for exclusive access and flexibility.

Integrated (Client Infrastructure)

AI runs within the client's existing network and security controls. No new provider or compute boundary.

SECURITY & TRADEOFFS
Relies on internal governance. Minimal extra cost, depends on internal maturity.
01

Assessment

Engineers on-site. Direct discussion of requirements, constraints, and security needs.

02

Configuration

Security tier selection. Infrastructure mapping. Compliance verification.

03

Pilot

Limited-scope deployment. Validation of integration and security model.

04

Delivery

Production deployment. Ongoing support. Continuous refinement.

Background

With over a year automating complex problems in financial analytics at a Big 4 consulting firm, and many more years building AI agents that gather and analyze data, detect patterns across my personal and professional networks, and provide actionable insights to help me maintain connections and anticipate opportunities, I create systems that deliver tangible strategic advantages—and now aim to empower others to gain a similar edge in their businesses.

These systems, built with rigorous engineering discipline, operate in a zero-trust environment with verifiable security, transparent data handling, and accountable practices.

—Andreas A. D. Liess

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