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Bespoke AI Systems for Structured Finance

Decisions, Not Preparation.

Your deal team is buried in preparation. Extracting terms from documents. Reconciling numbers across spreadsheets. Rebuilding the same reports every week. We build AI agents that handle the preparation, so your team focuses on the judgment calls that actually move deals forward.

10 minutes

From Document to Model

100+

Fields Extracted per Deal

Full

Source Traceability

20+ years

Engineering Experience

Sound Familiar?

Where Your Team's Time Goes

Spreadsheet Chaos

Deal details live across multiple Excel files, versions, and owners. Your team spends hours hunting for the right sheet, reconciling numbers, and copying data between tabs. Decisions get made on stale or mismatched inputs.

No Single Source of Truth

What changed since last week? Which deals are slipping? Where are approvals stuck? Nobody can answer fast. Calls become debates about the data instead of decisions about the deal.

The Reporting Grind

Analysts spend late nights building slides, updating trackers, and reformatting reports for different audiences. The same data, repackaged every week. Less time for diligence. More room for errors.

What We Build

Agents That Read, Reason, and Execute.

Every system separates reading from calculating. A language model reads documents and reasons about deal structures. Deterministic tools handle all computation. No LLM does arithmetic. Every output is auditable.

Document Extraction

An agent takes a raw offering circular and extracts 100+ structural parameters. Tranche details, waterfall priorities, fee mechanics, pool characteristics, swap terms. Every data point traced to its source page.

Structured data extracted from a CLO offering circular showing collateral quality constraints and deal details
Proof

What We Delivered

Metrics from a production platform built for a European structured finance firm. Six modules covering extraction, cashflow modeling, deal comparison, and IC-ready reporting.

100+

Fields extracted per deal
Structural parameters, tranche details, waterfall priorities, fee mechanics, pool characteristics, and swap terms. Extracted from the offering circular and cross-verified across multiple document locations.
ABF Deal Analysis Platform

10 min

Document to structured data
A 179-page offering circular processed end to end. The same extraction done manually takes an analyst one to three days depending on deal complexity and document format.
Mercedes-Benz Silver Arrow Compartment 20

100%

Source traceability
Every extracted data point traced to a specific page and clause in the source document. Assumptions that could not be verified are explicitly flagged, never silently filled in.
Page-Level Citation System
See the Full Case Study
How Every System Works

Five Principles for Every Build

Whether it is extraction, modeling, or reporting, every system we build follows these principles. They exist because the alternative is spreadsheet chaos, missing audit trails, and reports nobody trusts.

One Source, One Owner
Single deal hub with clear ownership. No guessing which file is current
Change Tracking Built In
What changed, when, and why. Visible to everyone. Calls focus on decisions, not detective work
Assumption Lockdown
Key assumptions standardized and stress tested. No quiet edits breaking the model downstream
Approval Path Clarity
Stages, blockers, and next actions visible. Deals do not stall in hidden inboxes
Report Once, Reuse Everywhere
IC, credit memo, stakeholder views from the same verified dataset. Reporting is a configuration, not a rebuild

Ready to Stop Preparing and Start Deciding?

Tell us about your deal workflows. We will give you an honest assessment of where AI agents can save the most time, and whether we are the right fit. No pitch deck. Just a conversation.

Book a Call