Make Better Risk Decisions With Credit and Financial Insights
Credit Intelligence, Optimized for Your Workflows
Trulioo combines global business identity and fraud workflows with bureau-grade credit intelligence. The result: faster onboarding, smarter risk decisions and continuous portfolio monitoring.
01
Integrate Credit Signals Into Existing Workflows
Bring bureau-grade credit and financial signals into the decision flows your teams already use, including onboarding, KYB and underwriting. Assess commercial risk at the point of decision, without extra steps or tools.
02
Automate Credit Data Retrieval for Consistent Decisions
Pull credit data automatically via API to power rules-based approvals and decision trees. Standardize risk assessments across teams, cut manual work and speed up decisions.
03
Monitor Risk Beyond Onboarding
Monitor risk over time, not just at approval. Catch meaningful shifts in credit and risk signals so you can adjust limits and terms when conditions change and manage portfolio risk more actively.
One Vendor, Many Signals
Pair bureau-grade business credit signals with a wide variety of identity and fraud signals for clearer, faster decisions without stitching together multiple systems.
Designed for Decisioning, Not Just Reporting
Outputs are structured for automated workflows and consistent policy enforcement across multiple markets – all through a single integration.
Flexible Data Packages
Choose the level of credit signal depth that matches your risk model, from foundational creditworthiness checks all the way to complete credit reports.
Decision-ready Business Credit Signals
Trulioo Credit and Financial Insights provides a set of bureau-grade, decision-ready signals built on large-scale commercial credit data. It combines trade payment experiences with public records, legal filings and financial indicators.
Key Components
Ready to Get Started?
Add bureau-grade credit and financial signals to the workflows where you assess commercial risk. Support onboarding and underwriting decisions with structured data, then monitor businesses over time.
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