Asset Servicers — AIR Platforms
Institutions · Asset Servicers
For custodians and fund administrators running surveillance and reporting at multi client scale.
Embed forward looking credit signals into the platforms your clients already use.
A new credit operating layer
What scaled credit servicing looks like when AI actually works.
Asset servicers operate at multi client scale, where surveillance, valuations, and regulatory reporting all need to run on consistent data with strict client segregation. Most vendors give you data feeds and leave the integration to you. AIR is the first platform built to plug specialized credit ML directly into your servicing infrastructure, with the governance posture your clients require.
Credit machine learning at the core
Twenty years of credit events trained into a single statistical engine. Continuously recalibrated, defensible, and consistent across every client mandate.
Specialized ML at the core. Gen AI on top.
ML produces the signal. Gen AI explains it, generates client reports, and powers natural language drilldowns inside your portals. Both, by design.
Multi tenant governance built in
Strict client data segregation. SOC 2 Type II. No customer data used for training. Embedded surfaces with white label support.
Workflows accelerated
What AIR does for asset servicers.
01
Multi client portfolio surveillance
A single forward looking view across every client mandate, with strict client segregation and consistent methodology throughout.
02
NAV and pricing support
Forward looking AIR scores and signals as inputs to your pricing and NAV processes, especially on illiquid private debt.
03
Mark to model on private debt
Defensible monthly marks on private credit holdings, grounded in financials, signals, and peer comparables.
04
ECL and IFRS 9 / CECL processing
Forward looking PDs that drop directly into expected credit loss workflows for every client.
05
Risk reporting at scale
Standardized risk reports across every client, generated automatically and delivered on schedule.
06
Concentration and exposure aggregation
Concentration views by issuer, sector, geography, and rating, aggregated across or within client mandates.
07
NAIC and regulatory mapping
AIR scores mapped to NAIC, Solvency II, and other regulatory designations your clients need for filings.
08
Watchlist generation across client books
Ranked watchlists of names requiring attention, generated per client book or aggregated across the platform.
09
Look through analysis on fund holdings
Drill through fund holdings to issuer level credit signals, with attribution and benchmarking.
10
Embedded surveillance inside client portals
AIR signals, dashboards, and Credit Agent embedded directly inside your existing client facing portal.
The AI layer
An AI layer designed to embed in client facing platforms.
A sample of the surfaces. The AI layer reaches further across every credit workflow.
Credit Agent
Natural language queries embedded in client portals.Auto Reports
Client reports generated per mandate.Scenario Analysis
Conversational stress on any client book.Document Intelligence
Holdings and filings parsed at scale.Cited Explanations
Driver attribution on every flagged movement.Embedded Surfaces
Multi tenant deployment with strict client segregation.
Resources
From the credit lab.
Company · Product
Introducing AIR Platforms: the first AI-powered credit rating agent
Read
Product
AIR: bringing the power of AI to credit
Read
Product · Research
ML-Powered Credit Ratings and Analysis — Wolfspeed: AIR's Credit Model in Action
Read
Blog
AI data centers are testing energy credit
Read
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.