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Institutional banking and markets
Faster decisions in markets that don't wait
Institutional banking works at high volume, high speed, and under close regulatory scrutiny. Trading, custody, and transaction banking produce more data than any team can read, and client onboarding still means long rounds of document review.
AI helps each desk read more and react sooner. Models price bonds and flag anomalies in transaction flows as they happen. Research assistants summarize filings and news, so analysts start from an informed draft. Agents move onboarding and KYC through each check and escalate only the exceptions. Everything runs inside your own environment, so client and trading data stay under your control.
2 use cases
Bond pricing and performanceAI bond pricing uses machine learning to predict fair reference prices and spreads for bonds that trade rarely or in volatile markets.M&A advisory researchA knowledge assistant that answers deal team questions across filings, reports and news with sources cited, plus a model that scores acquisition likelihood.
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