Qiro x Huma Finance - Strategic Partnership Announcement Copy
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How our underwriting platform enables tokenized private credit.
Private credit cannot scale in DeFi through loan-to-value ratios or collateral heuristics alone. Evaluating complex, real-world credit assets requires underwriting, data standardization, and risk assessment that go far beyond onchain LTVs.
On-chain credit allocators, lending vaults and yieldcoins face two persistent challenges:
Identifying high-quality private credit assets at scale
Underwriting and pricing those assets correctly
Qiro is designed to solve both.
For private credit to scale onchain, underwriting must move up the stack. Rather than protocols competing to underwrite the same assets, there is a need for a single, standardized origination and underwriting layer that interfaces with multiple asset originators and produces institution-grade credit risk assessments.
Introducing Qiro’s Underwriting Framework
Qiro addresses this gap by providing a standardized, policy-driven credit risk framework for tokenized private credit, an independent, plug-and-play underwriting and verification layer that protocols, marketplaces, and funds can integrate.
Policy-Driven Data & Controls
The first step in the process: we gather all the necessary information from the lending/non-lending entity—financials, corporate structure, and all other required data points. At Qiro, we recognized the disconnect between data procurement and analysis, so we built workflows to make data rooms more fool-proof and underwriting-ready.
Core components:
Multi-faceted data sources (APIs, onchain data, financial sources, etc.)
Automated normalization and validation
Standardized document checklists and reminders so no critical information is missed
Rule-based eligibility and compliance screening
Before deep diligence, Qiro applies configurable rule sets to screen for baseline eligibility and compliance requirements (strategy fit, sector constraints, minimum reporting standards, and other policy gates).
Credit scoring and risk policy configuration
Underwriting starts with clear policies. Qiro provides a configurable credit policy interface to encode eligibility criteria, sector caps, and rating guidelines for different strategies or protocols, plus support for custom scoring and internal rating models (including approval, rejection, and exception workflows tailored to partner mandates).
Quantitative Credit Assessment
Data-driven credit and cash-flow analysis
Underwriting is more than documents. It transitions from an organized data room into multiple calls between the risk team and the borrowing entity to understand operational realities.
Financial and liquidity assessment
To kick off the underwriting, a standardized credit assessment memo (CAM) is prepared as management calls are initiated, followed by portfolio analysis, financial review, and liquidity assessment.the dynamics of the company, cash generation, and
Stress testing and downside scenarios
A forward-looking analysis simulates scenarios such as interest rate shifts, customer churn, macro shocks, and regulatory changes to understand resilience over time.
Standardized outputs such as PDPD, LGDLGD/expected loss, rating band, and qualitative flags are produced for each deal, creating a consistent benchmark across pools and protocols.
Structural & Portfolio Risk Engineering
Collateral and receivables quality analysis
Beyond borrower credit, Qiro evaluates what’s actually backing the facility—collateral mechanics, receivables quality, eligibility criteria, reporting reliability, and enforcement realities—so that “collateral” means more than a label.
Portfolio concentration and correlation risk
Where pools exist (or will exist), Qiro reviews concentration exposures (single obligor, geography, sector, payer) and correlation risk, so protocols and allocators can understand how a given deal behaves inside a broader onchain credit stack.
Facility structuring and pricing recommendations
Using the credit memo and risk findings, we prepare the term sheet and structure of the deal. Built-in risk-based pricing and eligibility logic links credit outcomes to spreads, advance rates, tenors, covenants, and monitoring requirements—so pricing and structure reflect actual risk, not simple heuristics.
The best features here?
A configurable credit policy interface to encode eligibility criteria, sector caps, and rating guidelines for different strategies or protocols.
Support for custom scoring and internal rating models, with approval, rejection, and exception workflows tailored to partner mandates.
Built-in risk-based pricing and eligibility logic to link credit outcomes to spreads, advance rates, tenors, and covenants
Such a forward-looking analysis helps simulate scenarios such as interest rate shifts, customer churn, macro shocks, and regulatory changes to understand resilience over time.
The same standardized outputs—PD, LGD/expected loss, rating band, and qualitative flags are made available for each deal, creating a consistent benchmark across pools and protocols
Automated Decisioning & Lifecycle Risk Management
Automated credit scoring and risk metrics
A final internal rating is assigned by Qiro once the policies and models are defined and executed. These models can be run through Qiro’s underwriting compute network to ensure outputs are tamper-resistant and independently verifiable.
Every inference—each rating and score—can be backed by cryptographic proofs that attest a given node correctly executed a specific model on a defined dataset and produced the stated output. This makes the rating independently verifiable by protocols, originators, and investors.
Standardized credit assessment memo
The CAM serves as the underwriting artifact that ties together data, calls, validation, quantitative analysis, structural risk, and final recommendations—creating a consistent, auditable format across deals.
Continuous post-loan monitoring
Underwriting is iterative, so monitoring is part of the package:
Receivables reporting: regular updates on pledged or earmarked pools
Covenant compliance: borrower certifications on adherence to terms
Liquidity visibility: periodic cash balance statements
Collateral monitoring nodes and risk signaling across the facility lifecycle
Qiro’s Edge in Underwriting
Qiro is not just an Underwriting service provider, our platform’s capabilities extend to;
A data origination and structuring layer
A credit analytics and decisioning engine
A verifiable execution network for proprietary models
A full-stack underwriting platform
Underwriting, done better.
Proprietary Credit Scoring
Qiro provides a proprietary credit score using 50+ data points spanning financial ratios, governance practices, sector volatility, and stress tests - producing a risk profile rivaling established global benchmarks
Forward-looking Analysis
Unlike static credit checks, our framework simulates future scenarios (interest rate hikes, customer churn, regulatory shifts) to anticipate resilience.
Comparable to Ratings Agencies
The depth of our process allows us to return a result in the league of external rating agencies but with the flexibility to assess high-growth borrowers that traditional agencies would overlooks
Closing
The crux is that, underwriting is an iterative process, we use TradFi and DeFi data points both to make the most comprehensive report possible to ensure that both the originator and investor have a transparent view of the process to decide on a fair final recommendation.
With more deals like Huma in the pipeline, Qiro’s underwriting team is aiming for the best possible underwriting practices and enabling a sustainable on-chain lending ecosystem.
Underwriting is an iterative, living process. Qiro combines TradFi-grade diligence, DeFi-native transparency, and verifiable computation to give both originators and investors a clear, consistent view of risk, deal after deal, protocol after protocol.
Until next time.
~ Team Qiro