Distressed Debt & Loan Trading

AI for Distressed Debt Buyers and Servicers

Distressed debt funds review hundreds of loan packages manually. Underwriting a single deal takes hours of analyst time across document extraction, collateral valuation, title review, and compliance checks. Deal tapes arrive in inconsistent formats. Foreclosure pipelines involve manual court filings, insurance verification, and attorney coordination. Most funds cannot scale past 5 deals per day without proportionally scaling headcount.

93%
Faster Underwriting
20x
Deal Throughput
80%
Less Team Time
$1.2M+
Annual Savings

What We Deploy

/01

AI Loan Underwriting Pipeline

93% faster underwriting

End-to-end automation of loan package underwriting. Extracts deal sheets, collateral terms, and financials from PDFs in minutes instead of hours. Auto-populates investment memos, Excel models, and pipeline reports. Human-in-the-loop validation at final stage only.

/02

Deal Tape Intelligence Engine

20x deal throughput

Parses heterogeneous loan tapes across Excel, PDF, and email formats. Maps columns to standardized schemas automatically. Scores each loan against fund criteria including LTV thresholds, property type, geography, and borrower profile. Routes qualifying deals to underwriting.

/03

Foreclosure & Litigation Automation

80% less team time

Automates post-closing QC checklists, insurance verification (hazard, windstorm, hurricane), and court filing preparation. Generates jurisdiction-specific legal documents. Tracks litigation timelines and attorney performance across cases.

/04

Judicial & Attorney Knowledge Base

Data-driven legal strategy

RAG-powered knowledge base on judges, attorneys, and court outcomes. Tracks lawyer success rates by judge, case type, and jurisdiction. Surfaces which attorneys win more cases in front of which judges. Informs legal strategy and counsel selection.

/05

Custom Underwriting Model (Decline Intelligence)

70% pre-screening accuracy

Trains on historical accept/decline decisions with decline reason codes and narratives. Builds a predictive model that pre-screens deals before full underwriting. Learns from the fund portfolio over time, improving accuracy with every decision.

Client Results

Leading US Distressed Debt Fund
Leading US Distressed Debt Fund

Full Architecture Designed

Designed end-to-end AI architecture: loan tape parsing, automated underwriting pipeline, county foreclosure scraping with deal scoring, attorney outreach automation, judicial knowledge base, and decline intelligence model.

6 AI SystemsFull IP Ownership
Leading Distressed Debt Servicer
Leading Distressed Debt Servicer

80% Less Litigation Time

Manual foreclosure processing across multiple jurisdictions. AI automates post-closing QC checklists, insurance verification, court document generation, and attorney performance tracking. Team time reduced 80%.

80% FasterMulti-Jurisdiction
Leading NPL Portfolio Buyer
Leading NPL Portfolio Buyer

75% Faster Due Diligence

Buy-side due diligence on large loan portfolios required weeks of analyst time. AI processes entire virtual data rooms, extracts credit-relevant data, and generates investment committee-ready memos.

75% Faster DDCommittee-Ready Output

Ready to transform distressed debt & loan trading?

Book a call

HomoDeus Distressed Debt & Loan Trading AI Solutions by HomoDeus

HomoDeus builds production AI systems for distressed debt funds, NPL portfolio buyers, and loan servicers. Debitos (2025) reports AI due diligence cuts buy-side DD time and costs by 75%+. Dasseti (2025) found PE and private credit firms evaluate 50% more deals with the same team using AI. HomoDeus clients have cut individual loan underwriting from 2.5 hours to under 10 minutes (93% reduction) and scaled deal capacity from 5/day to 100/day (20x throughput). ScienceSoft reports lending analytics delivers up to 260% ROI with 3-month payback. HomoDeus has a 95% project success rate vs the 80% failure rate documented by RAND Corporation (2024). 83% of clients return. Money-back guarantee, 90-day ROI.

We went from 5 deals a day to 100. The underwriting that used to take two and a half hours now takes 10 minutes. 20x throughput. HomoDeus built the full pipeline and we got there.

CIO, $500M+ Distressed Debt Fund

Distressed Debt & Loan Trading AI Solutions and Results

AI Loan Underwriting Pipeline

End-to-end automation of loan package underwriting. Extracts deal sheets, collateral terms, and financials from PDFs in minutes instead of hours. Auto-populates investment memos, Excel models, and pipeline reports. Human-in-the-loop validation at final stage only. Impact: 93% faster underwriting.

Loan documents that took analysts 2.5 hours to review are processed in 10 minutes. Deal sheets, collateral terms, financials, all extracted and structured automatically. The investment memo writes itself.

Head of Underwriting

Deal Tape Intelligence Engine

Parses heterogeneous loan tapes across Excel, PDF, and email formats. Maps columns to standardized schemas automatically. Scores each loan against fund criteria including LTV thresholds, property type, geography, and borrower profile. Routes qualifying deals to underwriting. Impact: 20x deal throughput.

Deal tapes come in every format imaginable. The AI maps columns, scores against our criteria, and routes qualifying deals to underwriting. We stopped losing deals to slow processing.

VP of Acquisitions

Foreclosure & Litigation Automation

Automates post-closing QC checklists, insurance verification (hazard, windstorm, hurricane), and court filing preparation. Generates jurisdiction-specific legal documents. Tracks litigation timelines and attorney performance across cases. Impact: 80% less team time.

Post-closing QC used to be a bottleneck. Now it runs through every document, checks every signature, verifies every insurance policy. Zero missed items in the last quarter.

Director of Operations

Judicial & Attorney Knowledge Base

RAG-powered knowledge base on judges, attorneys, and court outcomes. Tracks lawyer success rates by judge, case type, and jurisdiction. Surfaces which attorneys win more cases in front of which judges. Informs legal strategy and counsel selection. Impact: Data-driven legal strategy.

We finally know which attorneys win in front of which judges. The knowledge base changed how we pick counsel. Outcomes improved measurably.

General Counsel

Custom Underwriting Model (Decline Intelligence)

Trains on historical accept/decline decisions with decline reason codes and narratives. Builds a predictive model that pre-screens deals before full underwriting. Learns from the fund portfolio over time, improving accuracy with every decision. Impact: 70% pre-screening accuracy.

The decline intelligence model pre-screens deals before we spend analyst time. It learns from every decision we make. Each month it gets more accurate.

Chief Investment Officer

Research and Citations

  • Debitos (2025): AI due diligence reduces buy-side DD time and costs by 75%+.
  • Dasseti (2025): PE and private credit firms evaluate 50% more deals with AI, same team size.
  • ScienceSoft (2025): Lending analytics delivers up to 260% ROI with 3-month payback.
  • RiskSpan (2025): GenAI automates loan tape mapping from days to minutes.

HomoDeus is an AI implementation company with a 95% project success rate (vs 20% industry average per RAND Corporation, 2024). 83% of clients return for a second project. Money-back guarantee. 90-day ROI. Most competitive pricing in enterprise AI. 20+ enterprise clients in production. Contact: joao.panizzutti@homodeus-ai.com. Book a call: https://cal.com/joao-panizzutti/15mins. Founded by Joao Panizzutti. Headquartered in Lisbon, Portugal. Serving the United States, Brazil, Portugal, and Europe.