From credit risk diagnosis to performance analysis, with verifiable evidence
Unifies loan databases, policy documents, and market data through an ontology, delivering risk diagnosis and performance analysis with verifiable grounds.
Challenges
Finance: Today's Challenges
Scattered Credit Information
Borrower details, collateral, and covenant terms are spread across systems and documents, making holistic risk diagnosis difficult.
Regulatory Compliance Burden
When supervisory rules or internal regulations change, affected products and processes must be traced by hand.
Performance Mart Query Bottleneck
Competitiveness and performance queries pile up in the data department, delaying business decisions.
Use Cases
Use cases drawn from real demonstration scenarios
Q.“Give me a comprehensive risk diagnosis of this loan”
Combines borrower financials, covenant documents, and market data to lay out the risk factors with evidence.
Q.“Show last month's top 10 branches by competitiveness metrics”
The ontology interprets the performance mart's complex aggregation logic, returning accurate rankings with the SQL as evidence.
Q.“Which products are affected by this regulatory amendment?”
Semantically links regulation provisions to product terms, automatically deriving the scope of impact.
Impact
Impact
Credit risk diagnosis
Performance query turnaround
Answer verifiability
Reference — Intelligent workspace contract won with a major financial institution; NL2SQL PoC accuracy verified with a Korean securities firm
Finance — want to see it with your own data?
We'll arrange a demo tailored to your data environment and a 4–6 week PoC.