Systemic credit oversight across the corporate sector.
Aggregate, sectoral, and cross jurisdiction views of corporate credit health for supervisors and policy teams.
Central banks and supervisors have been monitoring corporate credit health on lagged, fragmented data. Most vendors offer either narrow data feeds or AI tools that lack the rigor required for policy work. AIR is the first platform built to give supervisors a continuously updated, defensible view of corporate credit at the sector and system level.
Twenty years of credit events across geographies. A statistical engine recalibrated daily, with consistent methodology that supports cross jurisdiction comparison.
ML produces the credit signals. Gen AI generates surveillance reports, supports research workflows, and answers questions in natural language. Both, by design.
Reproducible outputs. Full methodology documentation. No customer data used for training. Aligned with the standards expected of policy and research work.
Aggregate corporate sector surveillance
Continuously updated views of the corporate sector, with breakdowns by geography, industry, and rating.
Sectoral credit health monitoring
Forward looking signals at the sector level. Identify stress before it shows up in defaults.
Financial stability indicators
Composite indicators of corporate credit health for financial stability monitoring.
Cross jurisdiction comparison
Consistent methodology supports comparison across countries and regions.
Macro financial linkages
Map credit signals to macro variables for research and policy modeling.
Systemic concentration analysis
Concentration views across the corporate sector, by issuer, sector, and geography.
SME credit assessment at scale
Coverage on small and medium enterprises that traditional ratings do not reach.
Supervisory stress testing inputs
Forward looking PDs and scenarios usable as inputs to supervisory stress testing exercises.
Bank book oversight and benchmarking
Independent views on the corporate exposures held by banks under your supervision.
Research and policy modeling
Reproducible outputs and structured data for research papers, policy analysis, and working papers.
A sample of the surfaces. The AI layer reaches further across every credit workflow.
Credit Agent
Natural language queries on any sector or geography.
Auto Reports
Surveillance reports generated on schedule.
Scenario Analysis
Conversational scenario and shock analysis.
Document Intelligence
Filings parsed across jurisdictions.
Cited Explanations
Outputs grounded in source data.
Reproducible Outputs
Aligned with research and policy standards.
Talk to an AI credit specialist.
A working session, not a sales pitch. We will run AIR against a sample of your portfolio and walk you through what it sees.