Ralixar

Trade compliance

ML Prediction

Restricted-Party Screening

Names, aliases, addresses and transliterations create noisy potential matches. Clearing too quickly creates compliance risk; reviewing every weak match consumes specialist time. Ralixar keeps model assistance behind confidence gates and authorised review.

GOVERNANCE

Confidence-gated intelligence

Scores above configured review thresholds create a case; missing identifiers, conflicting geography or high-risk sources require enhanced human review.

The problem

Disconnected evidence creates avoidable review work.

Names, aliases, addresses and transliterations create noisy potential matches. Clearing too quickly creates compliance risk; reviewing every weak match consumes specialist time.

List version

Every screening result identifies the source and effective version

Governed workflow design

Risk-ranked

Likely identity matches rise above weak name-only similarities

Governed workflow design

Disposition

A person records release, escalation or block rationale

Governed workflow design

The AI under the hood

A named technique behind an explicit control boundary.

The model has a bounded job. It does not own the workflow or decide what a person must do.

ML Prediction

Technique in plain English

Entity-resolution models combine fuzzy name matching, transliteration, address similarity, country and identifiers to rank potential identity matches.

Inputs

  • Legal and trading names
  • Aliases, addresses and country
  • Registration, passport or tax identifiers where lawful
  • Configured restricted-party lists and versions

Confidence gate

Scores above configured review thresholds create a case; missing identifiers, conflicting geography or high-risk sources require enhanced human review.

Rules fallback

Exact-match, identifier and policy rules continue to run without the model. No shipment is released merely because an ML score is low.

What the human decides

A trained reviewer determines whether parties are the same entity and whether to release, escalate or block under company policy and applicable law.

Evidence and expected outcomes

Industry evidence, not invented product proof.

Each item states its source class and boundary. Ralixar is pre-launch; these figures do not claim customer outcomes.

Practitioner

Human disposition

Potential matches require contextual identity review rather than a name-only automatic decision.

Modules involved

One workflow across a shared shipment record.

Each module works on the same evidence, event and decision history.

Related solutions

Continue through the same operating record.

Regulatory Intelligence

Track list and policy changes with effective dates.

LLM Single-shot
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Customs Filing and Query Automation

Hold filing work while screening cases remain unresolved.

Document AI
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HS Classification

Review product controls alongside party controls.

ML Prediction
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Review restricted-party screening on your own shipment flow.