Nexiant
The Nexiant Edge · MemberCheck

Screen with Precision. Not Just Volume.

MemberCheck's matching engine is fully configurable. Tune sensitivity thresholds, enable fuzzy name matching, and select only the watchlist categories relevant to your risk profile — so your team reviews the right results, not more results.

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Tunable
Match Sensitivity
Set the threshold that fits your risk appetite
Low
False Positive Rate
AI-powered filtering reduces noise
Per-Segment
Configuration
Different rules for different risk tiers

How It Works

Configure Once. Screen Accurately.

Set your parameters upfront and let the matching engine do the work. Refine as you go based on what your team actually sees in the queue.

1

Configure

Set sensitivity thresholds, enable fuzzy matching, and select the watchlist categories that reflect your regulatory environment and risk appetite.

2

Screen

MemberCheck applies your configuration to every scan. Matches are ranked by confidence score so your team knows where to start reviewing.

3

Refine

As your team reviews results, mark false positives and adjust thresholds based on the patterns you observe. The system improves with every decision.

Request a demo to see it in action
City data intelligence at night representing configurable screening precision

Your risk appetite is unique. Your matching thresholds should be too.

MemberCheck's configurable matching engine gives compliance teams precise control over false positive rates — without sacrificing the accuracy that regulators demand.

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Platform Capabilities

A Matching Engine Built for Accuracy

Configurable parameters, fuzzy matching, and confidence scoring — giving your compliance team results they can act on, not just results.

Adjustable Sensitivity Thresholds

Set the match score threshold your screening operates at. Higher thresholds catch only high-confidence matches; lower ones cast a wider net.

Fuzzy Name Matching

Catch name variations, transliterations, and alternative spellings that exact matching would miss — without flooding your queue with noise.

Watchlist Category Selection

Choose which categories you screen against — PEPs, sanctions, adverse media, law enforcement, or any combination — based on your regulatory requirements.

False Positive Suppression

Mark a result as a confirmed non-match and MemberCheck will automatically exclude that entity from future alerts for the same source.

Per-Segment Configuration

Apply different thresholds and watchlist categories to different customer segments. Your high-risk customers get tighter screening; routine profiles get lighter treatment.

Confidence Scoring

Every match returns a confidence score alongside the source detail, so your team can prioritise reviews rather than treating all results equally.

Why Configurable Matching

Fewer False Positives. No Missed Risks.

The goal of matching configuration is not to make screening easier — it is to make it more accurate. The right threshold catches real risk without drowning your team in noise.

Match Only What Matters

Configurable thresholds let you set the match sensitivity that fits your risk appetite — reducing alert fatigue without creating compliance gaps.

Catch Every Name Variant

Fuzzy matching and phonetic algorithms catch transliterations, abbreviations, and alternate spellings that circumvent exact-match screening.

Suppress Confirmed Non-Matches

Once a result is marked as a false positive, MemberCheck removes it from future alert queues automatically — your team focuses on new risk, not repeat noise.

Different Tiers, Different Rules

Per-segment configuration lets high-risk customers receive tighter screening while lower-risk segments are processed with proportionate thresholds.

Scores, Not Just Results

Confidence scoring gives your team a ranked view of matches — high-confidence results are reviewed first, reducing the time spent on ambiguous cases.

Match Results

Search: “Ahmad Rashidi”

Ahmad Al-Rashidi

Senior Government Official · Iraq

94%
PEPOFAC

Mohammed Rashid

Business Director · UAE

71%
Adverse Media

Ahmad Rashid

Private Individual · Jordan

Whitelisted

3 results · 1 suppressed · 2 for review

Fuzzy match active
Full Capability Set

Every Control You Need Over Matching

From threshold tuning to API-level parameter overrides — MemberCheck gives you complete control over how your screening engine works.

01

Sensitivity Threshold Controls

Set numeric match score thresholds at the account or segment level. Adjust at any time without rebuilding your screening configuration.

02

Fuzzy Name Matching

Catches name variants including transliterations, phonetic equivalents, abbreviations, and common alternate spellings.

03

Phonetic Matching

Identifies names that sound similar but are spelled differently — particularly important for cross-language screening.

04

Watchlist Category Selection

Enable or disable specific watchlist categories (PEPs, sanctions, adverse media, law enforcement, regulatory) per customer segment.

05

Per-Segment Configuration

Different risk tiers can operate under different matching configurations, managed from a single account-level settings panel.

06

Confidence Scoring

Every match result includes a numeric confidence score, allowing your team to prioritise high-confidence matches for immediate review.

07

False Positive Whitelisting

Confirmed non-matches are added to an organisation-level whitelist and automatically excluded from future alerts.

08

API Parameter Overrides

Pass custom threshold and category parameters per individual API scan — useful for workflows that require different configurations for different transaction types.

09

Audit-Logged Configuration Changes

Every change to matching configuration is timestamped and attributed to the user who made it, maintaining a full configuration history.

Enterprise Precision

Precision Matching at Enterprise Scale

Compliance teams at global institutions use MemberCheck's configurable matching to dramatically reduce manual review burden while maintaining full regulatory confidence.

  • 75% average reduction in false positives with properly tuned thresholds
  • Name variation, transliteration, and phonetic matching across 70+ languages
  • Full audit trail of all threshold changes and matching configuration decisions
  • Tested and validated against FATF and OFAC watchlist matching standards
Talk to our enterprise team
Senior compliance team reviewing configurable matching strategy in a modern boardroom

Common Questions

Frequently Asked Questions

What is fuzzy name matching and why does it matter?
Fuzzy name matching identifies names that are similar but not identical — covering typos, transliterations, abbreviations, and phonetic variants. It is important because individuals subject to sanctions or PEP designation do not always appear on watchlists under a single consistent spelling. Exact-match-only screening can miss genuine risks simply because a name was entered differently.
How do I set the right threshold for my organisation?
The right threshold depends on your risk appetite and regulatory environment. A lower threshold catches more potential matches but generates more false positives. A higher threshold reduces noise but may miss borderline cases. MemberCheck recommends starting with a mid-range threshold, reviewing alert volumes for two to four weeks, and adjusting based on the false positive rate you observe in practice. Our team can advise on industry benchmarks during onboarding.
Can I configure different thresholds for different customer segments?
Yes. MemberCheck's per-segment configuration allows you to apply different sensitivity thresholds and watchlist category selections to different customer risk tiers. High-risk customers can be screened with a lower threshold (broader catch) while lower-risk segments operate with a higher threshold (less noise).
What happens when I whitelist a false positive?
When you mark a match result as a confirmed false positive, MemberCheck adds that entity to your organisation's whitelist. Future scans against the same source for the same entity will be automatically suppressed in your alert queue. The underlying match is still logged for audit purposes, but your team will not be asked to review it again unless the source data changes materially.
Can I pass custom matching parameters through the API?
Yes. The MemberCheck REST API supports per-request parameter overrides for threshold, watchlist categories, and matching behaviour. This is useful when different parts of your workflow require different configurations — for example, high-stakes onboarding flows that need tighter matching than routine periodic rescreens.
How does confidence scoring work?
MemberCheck assigns a numeric confidence score to every match result based on the degree of similarity between the searched name and the matched record, as well as contextual factors such as date of birth, nationality, and other available profile data. Higher scores indicate a closer match. Your team can sort and filter by confidence score to prioritise the results most likely to be genuine.

Screen Accurately. Review Less Noise.

Configure MemberCheck's matching engine to your risk appetite and stop wasting time on false positives. Tune thresholds, enable fuzzy matching, and let confidence scoring do the prioritisation.

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