Sovereign SLM infrastructure for regulated industries

A compliance model that runs where your data already lives

Fine-tuned to your institution, auditable by design, on a single GPU inside your perimeter.

Used forAML operationsFraud reviewSecure AI delivery

Live transaction stream

Decision routing in progress

Live

56 events/min

TX-315097 RTP

Amount $17600

Pattern risk

TX-307178 SEPA

Amount $845

Passed

TX-299259 CARD

Amount $3925

Risk 92%

TX-291340 ACH

Amount $1280

Passed

TX-283421 WIRE

Amount $420

Passed

Passed

1845

Risk %

287

Pattern

115

Fraud

79

Measured on AML and fraud reference workloads

0.00M

Transactions evaluated

0.0%

High-confidence decisions

0ms

Time to score incoming activity

0.000

Fraud detection score

Workflow

From Data to Decision

Operational workflow for financial institutions, from intake to governed decisioning.

01

Ingest

Ingest transaction and customer data from banking systems with strict boundary controls.

  • Connect core banking, cards, and payments data
  • Maintain environment separation and policy controls
02

Score

Apply AML and fraud models in real time and batch with stable decision quality.

  • Run scoring for live monitoring and scheduled workloads
  • Set thresholds aligned to investigation capacity
03

Explain

Provide decision rationale for analysts, model risk teams, and compliance reviewers.

  • Present case-level evidence for each alert
  • Support audit and regulatory review requirements
04

Act

Route outcomes to clear, review, or escalation workflows with accountable ownership.

  • Automate low-risk decisions with guardrails
  • Escalate high-risk cases to the correct teams

Security

Security Controls for Regulated Banking Teams

Clear controls for risk, compliance, model governance, and audit review.

Built for institutions that need evidence, control, and traceability

Control evidence stays attached to the workflow, so audit, compliance, and model risk teams can review decisions without reconstruction.

  • Data residency and jurisdiction control

    Keep regulated customer and transaction data in approved regions and bank-controlled infrastructure.

  • Model and policy governance trail

    Record model versions, threshold changes, and approvals for model risk oversight.

  • Case-level decision rationale

    Give AML and fraud teams clear reasoning behind each alert and routing decision.

Governance flow

Review path

Three controls that support banking governance, audit review, and model oversight.

01

Approval gate

Model and threshold changes move through documented review before release.

02

Traceable action

Decisions, overrides, and operational changes stay linked to the full record.

03

Audit-ready evidence

Case evidence remains ready for internal audit, compliance review, and examinations.

Developers

Enterprise Integration for Banking Systems

Implementation guidance for core banking, payments, and case management workflows.

Implementation path

Reference integration flow

Start with scoring in a controlled environment, validate routing and controls, then expand into production operations.

POST /api/score
Authorization: Bearer <token>
Content-Type: application/json

{ "payload": "transaction or document" }

Integration entry points for financial institutions

Core banking and payments connectors

Case management and alert queue integration

Batch and real-time ingestion patterns

Private network and environment isolation

Plan Your Enterprise AI Rollout

Book a working session to define deployment scope, success metrics, and pilot milestones.