Inquire™ is a software development kit designed for advanced text-based filtering, searching, matching, and linking of identity data. It is optimized for processing and analyzing data that includes biometrics, supporting applications in data quality assurance, fraud prevention, identity resolution, and link analysis. The SDK provides flexible matching algorithms, customizable rules, and scalable infrastructure for both client and server environments.

Key Features

Fuzzy Text Matching Advanced probabilistic (fuzzy) text search and match algorithms for names, addresses, and other biographic data.

• Recognizes spelling and formatting variations
• Configurable thresholds and data definitions

Identity Data Quality Analysis Tools for assessing and improving the quality and integrity of identity data.

• Detects typos, misspellings, and inconsistencies
• Supports quality assurance for biometric and non-biometric data

Data Integration and Identity Resolution Capability to integrate and link identity records across databases.

• Merges attributes and encounters to a single identity record
• Accommodates name variations and address changes

Link Analysis Visualizes identity data to reveal non-obvious relationships between individuals and entities.

• Helps in relationship discovery and investigative tasks

Biometric Search Filtering Pre- and post-filtering for biometric searches using fuzzy text matching.

• Enhances performance and reliability of biometric identification

Customizable Dictionaries and Link Rules Allows users to define custom rules and dictionaries for matching and linking.

• Supports specific use cases and data requirements

Well-designed APIs Easy-to-use interfaces for integration into existing systems.

• Available in C, .NET, and JNI
• Includes sample program source code and error codes

Scalable and Extensible Infrastructure that automatically determines processing resources and optimizes utilization.

• Portable across client and server hardware, OS, and database platforms

Benefits

Enhanced Data Quality Ensures accuracy and integrity of identity data, reducing errors and improving reliability.

• Reduces false matches and non-matches
• Supports robust data quality assurance

Improved Fraud Detection Identifies potentially fraudulent identity information through advanced matching and link analysis.

• Highlights suspicious records for further investigation

Efficient Data Integration Simplifies the process of merging and linking identity records from multiple sources.

• Provides a comprehensive view of individuals and their activities

Flexible and Customizable Adapts to specific business needs with customizable rules and dictionaries.

• Supports a wide range of use cases and data types

Scalable Performance Automatically scales to handle large volumes of data and complex analyses.

• Optimizes resource utilization for efficient processing