AI-powered sanctions & PEP screening for financial institutions. Three-layer intelligence pipeline — rules, AI, and human oversight — that reduces false positives by 99.7%.
PROCESS
Customer records are pulled from your Snowflake environment and scored against live OFAC, UN, and EU sanctions feeds using Jaro-Winkler fuzzy matching and DOB/nationality similarity.
Cortex AI + Brave Search researches each flagged case autonomously. High-confidence matches are escalated immediately; clear false positives are cleared without analyst time.
Ambiguous cases surface in the review dashboard with field comparison, AI reasoning, confidence scoring, source citations, and an embedded chat assistant for deeper investigation.
CASE REVIEW
Analysts see field-by-field match comparison, an AI confidence score, matching and conflicting signals, and cited source links — all in a single, frictionless panel.
See the dashboard →CAPABILITIES
Jaro-Winkler similarity with configurable thresholds catches name variants, transliterations, and aliases that exact-match rules miss.
Snowflake Cortex + Brave Search autonomously investigates each flag, delivering structured reasoning and cited evidence directly to analysts.
Side-by-side field comparison, AI confidence score, signal breakdown, and source links — everything needed to decide in a single, frictionless panel.
Every Layer 1 flag, AI reasoning chain, human decision, and chat transcript is logged immutably. Legally defensible records by design.
All data stays in your Snowflake environment. Zero data egress, no third-party storage, full sovereignty over sensitive customer records.
AI handles high-confidence cases automatically. Edge cases always reach a human, maintaining the accountability regulators expect.
Compliance & certifications