The credit analyst that never leaves the call.

An AI credit analyst assists the human underwriter during credit due diligence. Underwriter AI reads the CIM and filings, surfaces questions live on the borrower call, checks answers against the documents and drafts the IC memo, so the credit decision is faster and better sourced.

No. It is decision-support with a human in the loop. It surfaces reasoning and questions faster; a qualified analyst still owns every credit decision.

Your rules are encoded and applied in real time. It tests each claim against them rather than against a generic model of what a call should contain.

Built for institutional use. Data stays scoped to your workflow with a human-reviewed audit trail. Deeper compliance export is on the near-term roadmap.

No added latency to the call itself. Analysis runs alongside and surfaces to the analyst, not to the room.

Yes. It is built to deploy inside your perimeter rather than on a shared service. Inference runs on AWS Bedrock with no retention and no training on your inputs, and a region-pinned mode keeps data in a chosen region.

No MNPI has to leave your control. We use Bedrock precisely because inputs are not retained or used for training, and today's demos run only on synthetic data.

A deterministic rule layer filters every statement first, with no AI, and narrows each moment to a handful of relevant rules. Only that small subset goes to the model, which must return a structured result. Less AI surface, more control and auditability.

Every finding carries a confidence score, and low-confidence items are shown for analyst judgment rather than asserted. Nothing it outputs approves, prices or declines a deal; a qualified human always decides.

Bring a live deal or a recent recorded call. We run it through and show you exactly where the reasoning holds and where it flags.