Trustpair Evaluation Engine

How does Trustpair evaluation engine work?

The Trustpair Evaluation Engine uses a layered approach that combines automated data validation, proprietary risk intelligence, and human-led anti-fraud review.

Most verifications are processed automatically using official data sources and Trustpair’s proprietary data. When automated evidence is incomplete, inconsistent, unavailable, or indicates an elevated risk, the case can be escalated to Trustpair’s in-house anti-fraud team for additional review.

Trustpair is therefore not a data-only or fully algorithmic system. Its automated controls are supported by a human-in-the-loop verification process for cases that require additional context or expert judgement.

Verification methods:

1. Verifications via official data sources

   Trustpair provides access to verified company and banking data sources from around the world. These sources are used to validate company identity, bank account details, account existence, and other relevant information.

2. Verifications via Trustpair data sources

   Trustpair enriches automated evaluations with proprietary data, including anonymised information from its network of corporate clients, previously validated account details, client payment history, and identified fraud patterns.

3. Human-in-the-loop verification via Trustpair’s anti-fraud team

   Trustpair provides responsive, complementary checks through its experienced in-house anti-fraud team. Human-led review can be triggered when automated data is unavailable, incomplete, contradictory, or insufficient to reach a reliable conclusion. It can also be used when the risk profile or the customer’s verification policy requires additional confirmation.

   Depending on the case, Trustpair specialists may review the available evidence, investigate inconsistencies, request or assess supporting information, and contact the relevant third party through an independently verified channel. The outcome of the review is then incorporated into the verification decision and audit trail.

   This human verification layer complements automated evaluation. It ensures that exceptional or higher-risk cases are not assessed solely on the presence or absence of data.