See through complex structures. Defend your exposure
Monitoring obligors, borrowers and underlying exposures across structured portfolios from origination to ongoing surveillance, where risk hides deep inside the deal.
- Obligors
- Borrowers
- Originators
- Sponsors
- Servicers
- Underlying exposures
Screening built for structured finance
Underlying-exposure screening
Screen obligors and counterparties at scale and track hidden risk and portfolio changes over the lifecycle of the deal.
Deal-aware scoring
Risk scoring across obligors, exposures, rules and ML signals, prioritised by exposure size and deal context.
Detailed risk dashboards
Profile compliance risk across deals, pools and population, then deep-dive by jurisdiction, asset class and risk driver.
Proactive workflow
Assign, escalate and evidence risk in one workflow, replacing reactive reviews based on spreadsheets and annual checks.
Built to replace or enhance legacy screening
Dynamic scoring
Multi-dimensional risk scoring that combines machine learning and rules.
vs traditional fuzzy matching that floods you with false positives
Explainable
A detailed, audit-ready rationale on every match, defensible to regulators.
vs black-box scores compliance teams can't justify
Policy tuning
120+ parameters tuned per scenario, market and client type.
vs single-threshold engines blind to context
Multi-lingual
Script-aware translation and NLP analytics, bespoke per language.
vs transliteration rules that miss the latest variations
20,000+
checks per second
<5ms
decision latency
120+
tunable parameters
6m+
risk profiles · 1.1m+ PEPs
See a clearer path to compliance
We'll show you explainable screening tuned to your policies, on your data.
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