Seamlessly load disparate data sources

Machine learning data mapper trained on servicer data that handles acquisition and monthly feeds
QC rules and backup values that have been optimized for the top servicer data feeds
Automated QC audit reports showing mapping choices and exceptions
Eliminate manual column mapping and downstream surprises
Load data in minutes—not hours—with confidence before pricing begins
Explore stratifications and loan-level drivers

Instantly stratify portfolios by FICO, LTV, geography, servicer, vintage and more
Analyze any dimension in the dataset without pre-built cuts
Identify high-risk, high-value, and concentration pockets at a glance
Move beyond pool-level averages to undersand true risk and value drivers
Reveal why pools with similar headline metrics can price very differently
Compare across public and private investment portfolios

Analyze historical credit prepayment, and attribute dynamics in one view
Leverage both industry datasets and proprietary performance data
Compare performance across any flexibly defined cohort — not just standard market segments
Track how loan attributes migrate over time and impact outcomes
Identify true performance drivers to ground projections and pricing in data, not narratives
Price with confidence and precision

Integrate loan-level prepay and credit models with full cash-flow analytics
Model behavior loan-by-loan across Agency and non-Agency, legacy and modern products
Use continuously enhanced, back-tested, production-grade models
See exactly which assumptions drive results and how changes affect value
Configure assumptions by cohort or segment to reflect real-world risk differences
Assess risk, manage exposures, and report results

Carry pricing models and assumptions forward into ongoing portfolio monitoring
Maintain consistent valuations, risk metrics, and performance attribution over time
Track exposures and performance with the same analytics used at acquisition
Enable sharper bids upfront and more proactive portfolio oversight post-close
Continuously surveil to optimize outcomes

Automate recurring servicer data feeds with Smart Mapper and managed data support
Power near real-time portfolio surveillance as performance evolves
Monitor performance by cohort and track credit and attribute drift
Stay ahead of covenant thresholds and emerging risks proactively
Identify issues early — before performance deterioration impacts them
Contact us to request a demo
Resources
Article
The Data Model That Powers Private ABS: Why Purpose-Built Architecture Chan...
A Day of Rest? Explaining November’s Spike in Non-QM Delinquencies
What a Year of Building AI in Structured Finance Actually Taught Us
Hot Take on Fannie and Freddie Buying $200B of Mortgage Bonds
Higher for Longer: What RiskSpan’s December Models & Markets Call Signals f...
RiskSpan’s February 2026 Models & Markets Call
Update on Delinquency Trends in the Non-Agency Mortgage Market
Modernizing the Advance: Using Data to Innovate Collateral-Backed Lending
Build vs. Buy: A Strategic Framework for Private ABF Technology Decisions
Are Lock-In Effects Really Easing? Insights from November’s Models & Market...
RiskSpan Releases Credit and Prepayment Curves for Auto and Personal Loans
Are You Overpaying for VA Prepay Risk in Ginnie II Pools?
How reliable is your data?
Our team of quants and data
scientists is available on demand
to provide custom support.

How reliable is your data?
Our team of quants and data
scientists is available on demand
to provide custom support.


