Features & Architecture
Architecture that keeps control inside your walls
ModelLinq combines on-prem infrastructure, governance workflows, and collaborative tooling so high-security teams can deploy AI safely.
Platform capabilities
Everything you need to deploy models safely in high-security environments.
On-Premises Only
Deploy ModelLinq entirely within your data center or private cloud. Core services run without outbound connections.
Multi-User Collaboration
Shared workspaces, versioned models, and approval stages keep research, data, and IT teams aligned.
Governance & Audit
Immutable audit logs capture every model change, dataset update, and inference request for compliance reviews.
Role-Based Access
Granular permissions ensure each department sees only what they need, from model registry to deployment controls.
Integration & Customization
Connect to existing systems via APIs, plug in your own models, and tailor workflows to internal policies.
Features & Architecture
Policy-Driven Model Orchestration
ModelLinq applies Policy-Driven Model Orchestration to enforce content governance across every workflow. Inputs and outputs are validated against institutional policies to maximize server efficiency while keeping every orchestration and content decision auditable and continuously self-optimizing.
Features & Architecture
Orchestration flow with multi-layer governance
Each layer applies policy checks and optimization so your models stay compliant and efficient end to end.
Layer 1: Policy Gate
Validate incoming requests against institutional rules and access policies.
Layer 2: Orchestration Engine
Route tasks across models to maximize server efficiency and reliability.
Layer 3: Output Governance
Apply masking and compliance checks before results leave the system.
Features & Architecture
From data to governed deployment
A clear flow keeps every model action visible, reviewable, and secure.