Key Takeaways
- • Cardo AI introduced unified data standards covering 30 asset classes in asset-based finance (ABF), spanning 11 consumer and 19 corporate exposures, from consumer loans to aircraft and music royalties.
- • The company states the library represents approximately $5.8 trillion of the ABF universe, according to its Business Wire release.
- • Each standard defines eligibility criteria, covenants, and payment waterfalls using traceable open formulas, all built on a single shared data model to enable cross-asset comparison.
- • Co-Founder and CEO Altin Kadareja said the standards are intended to stop good deals from stalling because counterparties interpret collateral data differently.
- • Standards are available to lenders and investors on request, each including the shared data model, an asset-class extension with every entity and field defined, and a worked example against a representative pool.
Summary
Cardo AI, a technology platform for asset-based finance and private credit, has introduced unified data standards for 30 asset classes, according to a Business Wire release datelined New York. The library covers 11 consumer and 19 corporate exposures and, per the company, represents approximately $5.8 trillion of the ABF universe. The standards range from consumer loans to aircraft and music royalties.
The company describes the standards as a common reference library for lenders and institutional investors. Each standard defines how an asset class is described, tested, and monitored, covering eligibility criteria, covenants, and payment waterfalls. Calculations use open formulas that can be traced from source fields to final outputs. All 30 standards sit on a single shared data model, which the company says allows deals across different asset classes to be evaluated and compared on a consistent basis.
The release notes that ABF has historically operated with asset-class-specific data formats, terminology, and reporting conventions. The company argues this fragmentation slows deal onboarding, complicates cross-asset comparison, and creates operational risk. Altin Kadareja, Co-Founder and CEO of Cardo AI, said he has frequently seen good deals stall because the two sides interpreted underlying collateral data differently. "We built these standards so that a loan tape, a covenant, or a waterfall calculation means the exact same thing to everyone reviewing it, regardless of the underlying asset class," he said.
Each standard is available to lenders and investors on request and includes the shared data model, an asset-class extension defining every entity and field, and a worked example against a representative pool. More information is available at cardoai.com/abf-standards. Cardo AI states its platform manages more than $115 billion in assets under technology, connects to 160+ external systems, and supports portfolio management, cash-flow modeling, and investor reporting.
The company describes the standards as a common reference library for lenders and institutional investors. Each standard defines how an asset class is described, tested, and monitored, covering eligibility criteria, covenants, and payment waterfalls. Calculations use open formulas that can be traced from source fields to final outputs. All 30 standards sit on a single shared data model, which the company says allows deals across different asset classes to be evaluated and compared on a consistent basis.
The release notes that ABF has historically operated with asset-class-specific data formats, terminology, and reporting conventions. The company argues this fragmentation slows deal onboarding, complicates cross-asset comparison, and creates operational risk. Altin Kadareja, Co-Founder and CEO of Cardo AI, said he has frequently seen good deals stall because the two sides interpreted underlying collateral data differently. "We built these standards so that a loan tape, a covenant, or a waterfall calculation means the exact same thing to everyone reviewing it, regardless of the underlying asset class," he said.
Each standard is available to lenders and investors on request and includes the shared data model, an asset-class extension defining every entity and field, and a worked example against a representative pool. More information is available at cardoai.com/abf-standards. Cardo AI states its platform manages more than $115 billion in assets under technology, connects to 160+ external systems, and supports portfolio management, cash-flow modeling, and investor reporting.
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