Crosswalking Technology

Experience the Highest Match Rate Accuracy

Worth’s proprietary, AI-powered Crosswalking Technology ensures the most precise business identification and data matching in the industry. By integrating multiple first- and third-party data sources and leveraging advanced AI/ML models, Worth delivers unmatched accuracy in entity resolution, reducing errors in business and ownership identification and accelerating underwriting decisions.
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Frictionless Business Matching

Worth’s AI-driven Crosswalking Technology eliminates mismatches and ensures businesses are verified with confidence, streamlining application and onboarding processing and granting enterprises the piece of mind required in financial decision-making.
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Proprietary
AI-Powered Crosswalking
Our proprietary AI/ML models intelligently match businesses across disparate data sources, ensuring the highest level of accuracy and reliability in SMB entity resolution.
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Seamless Multi-Source Integration
By integrating multiple first- and third-party authoritative data sources, Worth ensures that businesses are correctly identified, even in cases of duplicate addresses, name variations, or incomplete records.
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Optimized for Enterprise Teams
Accelerate decision-making and reduce manual reviews with high-confidence matches, allowing for faster approvals and risk assessments while maintaining compliance, leading to faster time to revenue for your organization
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How It Works

AI-powered matching logic not only identifies businesses but also uncovers key patterns and anomalies, helping financial institutions make data-driven decisions with confidence. Built to evolve with ever-changing data landscapes, Worth simplifies this process through intelligent AI-driven crosswalking:

Step 1: A business owner fills out an application with key details, including business name, address, and Tax ID/EIN.

Step 2: Worth’s AI-powered crosswalk logic ingests and matches the provided information against multiple authoritative data sources to quickly identify the correct entity.

Step 3: Advanced matching logic detects duplicate addresses, miskeyed information, potential name variations, and incomplete records to ensure the correct business is identified and the associated information is pulled back into the application and platform.

Step 4: The system pre-populates applications with verified business details, reducing manual information entry and improving the business’ speed-to-approval.
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