Cadence turns a loan applicant's account data into an explainable decision. Account access is a commodity. Categorising the data and deciding on it is the harder part. The credit decision is deterministic, transparent code an auditor can follow.
3 model attachments, an evaluation harness over 1,067 labelled cases, trace-level observability and 10 control tests. Each layer uses what the layer under it produces.
Click any layer for the detail behind it
10 objectives run against the system, 14 findings, evidence attached to each
Layer 3 supplies the traces, scores and explanations these tests read.
1,067-case labelled set, Langfuse traces, explanations for 3 audiences
Layer 2 names the 3 call sites that get instrumented and measured.
3 attachments, each with an owner, a classification and a fallback
Layer 1 is the decision the models attach to.
Run a synthetic applicant through consent, retrieval, categorisation and the affordability calculation, and read the decision it writes.