From contract intake to continuous reporting
One connected platform that links your systems, verifies your pool, structures the issuance, and reports on it continuously. Here's what's inside.
Connected to your systems, not your spreadsheets
ERP linkage: CQR-Asset® connects directly to your ERP, so financial and operational data flows from the system of record — no manual extracts, no stale snapshots.
Contract management & CRM linkage: Contract terms, counterparties, and payment schedules sync from your contract-management system and CRM.
OEM telematics linkage: For OEMs and equipment originators, CQR connects to telematics portals so physical-asset utilization is part of the verified record.
Model the structure, the pricing, and the junior strip
The securitization engine does what a typical ERP securitization add-on does — and more. Alongside pool assembly and waterfall mechanics, it adds predictive tools for expected pricing and structure, including junior-strip characteristics, so you can see the shape of an issuance before you take it to market.
Verify what your systems say against what your contracts actually say
Our contract analytics tool reads the signed contracts themselves — an AI analysis of the uploaded PDFs — and reconciles them against the contents of your contract-management system. Where you don't yet have structured contract data, it populates a contract-rules collection instead: the machine-readable terms used to calculate the pool's expected performance. Either way, you end up with a verified, computable picture of the pool's obligations.
On-demand attestation, not periodic sampling
CQR-AUP™ replaces periodic, sample-based Agreed-Upon Procedures with continuous, from-source reporting that a Big Four firm can attest. Your issuance carries live, verifiable reporting underneath it — available to investors and auditors on demand, without the year-end data scramble.
See problems in the pool before they happen
The triangulation model is built to forecast issues before they surface. By cross-checking independent data sources, it flags precursors to trouble — underutilization of a financed asset as an early signal of potential default, or environmental conditions that tend to precede performance issues. Poor weather ahead of an agricultural season, a sustained drop in wind or irradiance for a renewable pool: the model surfaces these as forward signals, not after-the-fact surprises.