Architecture Chart

White Paper:

Frontnow Data Flow v2.3.pdf

🔧 1. Purpose and Innovation Process

The whitepaper serves as a foundational document for discussions, due diligence, sales, and implementation of Frontnow’s data processing solutions. It outlines the flexibility and agility of Frontnow’s architecture, which is designed to adapt to specific client requirements.

🔗 2. Third-Party Infrastructure & Hosting

Frontnow relies on:

• Microsoft Azure AI Services: Sole provider for LLMs with opt-out of logging and human review.
• Vercel & Supabase: Used for application hosting and data processing, exclusively in EU-based data centers.
• Cloud-agnostic IP Gateway: Can be deployed on-premises or customer infrastructure for enhanced data privacy.

🔒 3. The Frontnow Trust Layer

The Trust Layer ensures privacy, security, and data minimization before it reaches any AI models. It consists of:

1. Frontnow Guard – evaluation loops and human-in-the-loop monitoring.
2. Importer and Studio – data ingestion and management interfaces.
3. AI Search – ranking and relevance algorithms.