Connect external risk data to explainable, human-controlled credit workflows.
Connect, normalize, resolve, and refresh external risk data, then use human-controlled AI agents to prepare commercial credit underwriting and monitoring work.
CrediArc Data Hub connects paid, proprietary, partner, and public external risk sources into a controlled data layer.
It normalizes formats, currencies, reporting periods, identifiers, and source dates so information can be reused in underwriting and monitoring.
Entity resolution helps match businesses and corporate groups across naming variations, addresses, registrations, and provider identifiers.
Continuous updates keep entity records current and surface material changes without rebuilding the underwriting file.
CrediArc Assist provides human-controlled AI agents for document and data intake, entity matching, financial analysis, borrower or counterparty engagement, portfolio monitoring, and underwriting workflow preparation.
Sources and dates remain attached to extracted facts. Rules, models, thresholds, assumptions, and exceptions remain inspectable. People retain approval rights and final accountability.