Detect risks and duplicate Matching Data from point of entry for AML, KYC, List Screening, and MDM. Lower data validation and false positives.

CUBO iQ® FAZ: Front End Data Validation and Matching


Balancing the complexities of various inputs from systems, sources, forms, applications, and files, while addressing variations, issues, risks, and inconsistencies from an MDM perspective, is a major challenge for data management in AML, KYC, List Screening, and MDM.

Excessive False Positives

Fuzzy data creates false positives, duplicates slowing  data onboarding processes

Poor Data

Data influx from varied sources, nomenclature discrepancies, variations, typos, and system errors

No Single Source of Truth

Decisions are often made in the face of uncertainty, and the level of risk associated with different choices must be carefully evaluated.

Redundant Data Reviewing

Allocating personnel and resources to review redundant data can be costly and impact overall efficiency.


CUBO iQ® FAZ Front End Data Validation uses Fuzzy Matching engine with API to validate from moment of entry 

Efficiently match a variety of data sources in a 1-to-many scenario using a high-speed matching engine. Our data governance business rules have been rigorously tested on 200 million records, ensuring confident and high-quality data management

Introducing CUBO iQ® FAZ! 

Front End Data Matching and Validation Software

Say goodbye to traditional insert/input methods. CUBO iQ® FAZ ensures accurate, efficient data entry (front end) in real time.

The world’s fastest, most accurate front end data quality, validation and matching engine in milliseconds response time.

Why Choose CUBO IQ® FAZ? Front End Data Matching and Validation

Ensure data cleanliness with custom validation forms. Monitor, safeguard data from point of entry.

Accurate Decisions

Exceptional tool detects phonetic, fuzzy, miskeyed variations precisely.

Rapid Responses

Quickly install, launch,  validate, match and insert grade A quality data into your system

Cost Effective Use

Clear false positives with repeatable rules reduces manual review and effort, costs.

Connect to External APIs

Validation lists maintain data, keeping it fresh, updated, and risk-free. (KYC, AML, Sanctions Lists etc..)

Conflict Resolution Center

Isolate rogue records and involve a human in the process only when protocol mandates or when necessary.

Reduction in False Positives
Reduction in Manual Workload
Reduction in Total Management Cost 

The matching is more accurate than Win Pure, offering the advantage of ensuring match accuracy and the promptness of generating cross-references, which benefits delivery time.

Product Highlights

CUBO iQ® is an All-In-One Data Quality & Matching Platform that includes:

Proprietary scoring system minimizes false positives, surpassing traditional methods

Built for fast drag and drop on-premise integration as a primary approach

Affordable flexible  subscription options that suit any budget

CUBO iQ® consistently outperforms other solutions in speed and accuracy with our matching technology

ETL visual pipeline views and integrated rapid review for streamlined manual workflows

Import, aggregate, and transform data from diverse sources for a 360 single source of truth

Streamlined data transformation and cleansing save time through efficient process optimization and standardization

Data Profiling, Record Linkage, Deduplication, Address Standardization, Pattern Matching, and Recognition

Designed with Data Privacy and GDPR Compliance in Mind

Discover the Distinctive Edge of CUBO iQ® FAZ


CUBO iQ FAZ leverages front-end validation and matching to identify risks, duplicates, anomalies, and govern data right at the point of entry.

Simplify Your Data Management with CUBO iQ® FAZ Front-End Precision

Feature Highlights

  • Millisecond Response Time
  • Cross-Column Matching
  • Empty Field Tolerance
  • Comprehensive data governance
  • Advanced AI for risk detection
  • Duplicate detection
  • Anomaly detection
  • Real-time data validation
  • Scalability
  • Seamless integration

Competing Solution

  • Slow and delayed responses
  • Limited capacities between columns
  • Problems with matching empty fields
  • Weak or absent governance
  • Limited or inaccurate risk controls
  • Poor duplicate detection ability
  • Does not detect anomalies
  • Lacks real-time validation features
  • Limited scalability capabilities
  • Struggles with third-party systems


  • Ultra-fast response times
  • Efficient matches between
  • Handles empty fields in a 1 to many format
  • Strong governance and compliance
  • Effective risk identification
  • Robust duplicate identification
  • Detects and flags anomalies
  • Immediate feedback on data validation
  • Supports data in volume growth
  • Easily integrates with other systems