Hedge Funds — AIR Platforms
Institutions · Hedge Funds
Alpha from credit deterioration signals.
A continuously updated edge for long, short, distressed, and capital structure trades.
A new credit operating layer
What credit alpha looks like when AI actually works.
Credit hedge funds need an edge that compounds. Most vendors offer either lagged data or AI tools that do not produce a defensible signal. AIR is the first platform built to give hedge fund credit teams forward looking ML signals delivered with the speed and explainability the trading floor demands.
Credit machine learning at the core
Twenty years of credit events trained into a statistical engine that surfaces deterioration well before market or rating action.
Specialized ML at the core. Gen AI on top.
ML produces the alpha signal. Gen AI drafts theses, parses capital structures, and supports trade idea workflows. Both, by design.
Trading floor grade governance built in
Reproducible signals. Backtest results across long, short, and distressed scenarios. No customer data used for training. API first delivery for systematic strategies.
Workflows accelerated
What AIR does for hedge funds.
01
Short idea generation
Ranked watchlists of deteriorating names with cited driver attribution. Conviction inputs for short books.
02
Long credit idea generation
Forward looking views on names approaching positive inflection. Conviction inputs for long books.
03
Distressed and stressed credit analysis
Forward looking PDs, recovery estimates, and capital structure mapping for distressed and stressed names.
04
Capital structure arbitrage
Capital structure mapping with forward looking views by tranche, lien, and security type.
05
LME and restructuring analysis
Early identification of LME risk, creditor group dynamics, and recovery outcomes under restructuring scenarios.
06
Recovery analysis
Forward looking recovery estimates by issuer, with scenario analysis on different restructuring paths.
07
Catalyst identification
Continuous identification of names with material catalysts approaching, attributed to underlying signal drivers.
08
Real time deterioration signals
Daily refreshed signals delivered via API, with sub minute latency on specific events.
09
Pair trades and relative value
Spread and relative value analysis grounded in fundamental AIR scores. Find dislocations between fundamental view and market pricing.
10
Risk monitoring and exposure aggregation
Aggregated exposure across the book, with forward looking views on portfolio level risk.
The AI layer
An AI layer wired for alpha discovery.
A sample of the surfaces. The AI layer reaches further across every credit workflow.
Credit Agent
Natural language thesis testing.
Auto Briefs
Investment briefs generated automatically.
Scenario Analysis
Conversational scenario and recovery analysis.
Document Intelligence
Credit agreements and capital structures parsed.
Cited Explanations
Driver attribution on every signal.
API First
Systematic strategies plug in directly.
From the credit lab.
- Introducing AIR Platforms: the first AI-powered credit rating agent
- AIR: bringing the power of AI to credit
- ML-Powered Credit Ratings and Analysis — Wolfspeed: AIR's Credit Model in Action
- AI data centers are testing energy credit
Talk to an AI credit specialist.
A working session, not a sales pitch. We will run AIR against a sample of your portfolio and walk you through what it sees.