01The problem
Matching a deal to the right counterparties was slow, manual, and inconsistent.
02What we built
A hybrid engine: deterministic business rules narrow the field, a language model ranks and explains, and edge cases escalate for review.
03The result
Structured, explainable matching that outperforms a raw model prompt — with humans governing the decision.
04Capabilities demonstrated
Presented honestly at its true evidence level. Sensitive internals, client-identifying detail, and proprietary logic are deliberately withheld.