Introducing Deeplinq for AML

Choose the boundary before the provider.

Run Deeplinq with hosted providers, compatible regional endpoints, or models on institution-controlled hardware. Each deployment makes residency, jurisdiction, encryption, ownership, and operations explicit.

The boundary is selected before traffic moves.

Residency, runtime ownership, model routes, credentials, and evidence requirements resolve into one reviewable deployment plan.

Boundary mapped

Deeplinq
boundary

Institution

Policy and risk owner

Deeplinq Core

Control and evidence

Local infrastructure

Partner-enabled runtime

Approved models

Hosted or self-hosted

Sovereignty becomes a deployment decision.

Deeplinq separates the governed control plane from the underlying model and compute choices, so institutions can adapt infrastructure without rebuilding application policy.

  1. 01

    Keep the required perimeter

    Map data classes, residency, model routes, secrets, retention, and operator access before production traffic is admitted.

  2. 02

    Change infrastructure deliberately

    Use hosted, regional, private, or self-hosted model routes behind the same application interfaces and control model.

  3. 03

    Preserve institutional authority

    Infrastructure partners operate the agreed environment. The institution retains its legal basis, risk acceptance, policy, and accountable decisions.

A deployment profile makes the boundary reviewable.

The reference profile records the institution’s requirements and the selected controls without implying that one architecture or certification fits every engagement.

Control recordVerified
Residency
In-country processing required
Runtime
Institution-controlled network
Model route
Approved compatible endpoint
Credentials
Sealed inside deployment boundary
Evidence
Organization audit chain retained
Assurance
Engagement-specific review

Partner-enabled infrastructure and assurance scope depend on region, institution, provider, and engagement.

Local infrastructure can carry one consistent control plane.

Regional infrastructure partners can provide compute, hosting, and operations while Deeplinq supplies the model gateway, authority checks, metering, and evidence layer.

  • Compatible endpoints across hosted and self-hosted models
  • Deployment requirements captured before provider selection
  • Commercial availability confirmed per region and partner

Technology does not erase institutional accountability.

Deeplinq enforces configured controls. Deployment owners operate the environment. The institution remains responsible for legal basis, policy, risk acceptance, and consequential decisions.

  • Engine, deployment, and institution duties kept separate
  • Encryption, retention, and operational ownership documented
  • No blanket certification or compliance claim

Put the control plane in front of your first production workflow.

We will map your models, data boundaries, approval points, and evidence requirements in one working session.

Request a demo