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

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

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

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.

Get started

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.