How to Evaluate Fabrix (Key Criteria)

Evaluating AI Fabrix goes beyond testing model accuracy. The key is to assess whether the platform delivers security, governance, compliance, and cost predictability at enterprise scale. Fabrix is evaluated against five pillars that define its enterprise readiness.

1. In-Tenant by Design

• Deployed fully inside the customer’s Azure tenant.
• Uses Virtual Networks, Private Endpoints, and Azure Key Vault for isolation and control.
• Eliminates SaaS data exposure and ensures compliance with ISO-27001, GDPR, HIPAA, and industry-specific mandates.
• Enterprises maintain direct ownership of data, identity, and networking.

2. Metadata-Aware Retrieval

• Standard RAG pipelines return results without understanding user entitlements.
• Fabrix enforces permission-aware retrieval, ensuring results reflect the same access controls as SharePoint, Teams, CRM, or ERP.
• Metadata and policy filters allow fine-grained governance in every query.
• Supports compliant, context-rich retrieval that scales across regulated industries.

3. Governance & Control (Miso Layer)

• Central governance via the Miso control layer.
• Provides:
  • Entra ID integration with role inheritance.
  • SCIM-based user/group provisioning.
  • Policy packs for quotas, egress, and compliance.
  • Audit trails with correlation IDs.
• Ensures AI workloads follow the same guardrails as other enterprise IT platforms.

4. Predictable Economics

• Subscription tiers (S/M/L/XL) aligned to workload scale.
• Direct Azure billing for infrastructure — no hidden markups.
• Transparent cost structure that reduces risk of pilot overspend.
• Predictable economics make it easier to secure internal approval and budget.

5. Open Foundation / No Lock-In

• Built on open-source components and deploys inside Azure.
• If subscription ends, customers can continue independently.
• Protects long-term investments in data pipelines, connectors, and retrieval infrastructure.
• Provides an exit path, avoiding the lock-in risks of SaaS or proprietary AI stacks.

Key Takeaway

The five pillars ensure Fabrix is enterprise-ready from day one:

• Secure (in-tenant deployment).
• Compliant (metadata-aware retrieval).
• Governed (Miso control).
• Predictable (transparent economics).
• Open (no lock-in).

These criteria provide a structured framework to compare Fabrix against SaaS tools, open-source frameworks, or Microsoft baseline services.