Five Products for Institutional AI Governance
From institutional-grade governance to functional deployment — each product addresses a critical control point in enterprise AI.
Mirror Trust Layer
Institutional Governance Layer
The enforcement layer that makes AI behavior governable, auditable, and regulator-ready in real-world deployments. Designed for institutions where 0.1% failure is not acceptable.
Key Capabilities
Ideal For
- Financial services compliance
- Government AI deployments
- High-stakes enterprise decisions
Mirror Ledger Engine
Evidence & Audit Infrastructure
Records, seals, and packages decision evidence — generating regulator-grade audit trails by default. The foundational truth layer that makes every AI decision traceable and defensible.
Key Capabilities
Ideal For
- Regulatory examinations
- Legal discovery & e-discovery
- Compliance audit preparation
Mirror Guard
Decision Interception Layer
Controls I/O risk in real time. Enforces regulatory and policy constraints at the decision boundary — preventing non-compliant actions before execution, not after.
Key Capabilities
Ideal For
- Regulated customer service
- KYC document processing
- Financial advisory compliance
Mirror Gateway
Governed Orchestration Layer
Controls orchestration, cost, and quality across agents and models. Ensures autonomy operates within institutional boundaries, even at scale.
Key Capabilities
Ideal For
- Multi-agent decision chains
- Cost-optimized AI operations
- Quality-controlled model selection
Mirror Memory
Reasoning Continuity Layer
Stabilizes multi-step reasoning chains so governance doesn't kill intelligence. Preserves anchors, context integrity, and rollback points — enabling deep reasoning within constraints.
Key Capabilities
Ideal For
- Complex multi-agent workflows
- Deep reasoning chains
- Audit-ready evidence generation