RiskSpan Launches Agentic AI for MBS Data to Deliver Instant, Transparent Insights
RiskSpan launches Agentic AI for MBS Data, a plain-English AI analyst that delivers instant, source-verified insights into mortgage-backed securities helping traders, investors, and risk managers work smarter and faster.

RiskSpan Launches Agentic AI for MBS Data to Deliver Instant, Transparent Insights

RiskSpan has officially launched Agentic AI for MBS Data, a next-generation AI-powered MBS analyst designed to make mortgage-backed securities (MBS) analysis faster, clearer, and more accessible. With this innovation, MBS professionals can now interrogate agency loan datasets in plain English without writing a single line of SQL or Python code. This breakthrough not only simplifies complex data workflows but also delivers instant, source-verified insights that support smarter investment and risk decisions.

Redefining MBS Analytics Through Agentic AI

Mortgage-backed securities are among the most data-heavy instruments in the financial world. Agency MBS professionals analysts, traders, investors, and risk managers often spend countless hours sifting through performance datasets, writing queries, and running statistical models. While this process is powerful, it’s also slow, technical, and resource-intensive.

RiskSpan’s Agentic AI for MBS Data fundamentally changes this process. Instead of relying on technical teams, users can simply ask natural-language questions such as:

“Which Ginnie Mae pools from 2020 saw the fastest prepayment speeds in Q2?”

“What factors are driving delinquency rates in Freddie Mac 2019 vintages?”

Within seconds, the platform delivers not just raw numbers but complete insights tables, charts, and narrative explanations with transparent citations back to the original data.

This level of accessibility represents a significant leap forward, democratizing data analytics for the entire MBS ecosystem.

For decades, working with MBS datasets has meant writing complex SQL queries, parsing vast tables, and exporting results into separate visualization tools. RiskSpan’s new platform rewrites this workflow.

Instead of starting with code, analysts now start with a question. For example:

“Show me delinquency trends by FICO score for Fannie Mae 2021 originations.”

“Compare prepayment speeds across top servicers in the last three quarters.”

Agentic AI instantly returns a clean, visualized output with narrative commentary ready for strategic use. For time-pressed traders and portfolio managers, this means faster turnaround on insights, stronger decision-making, and the ability to explore new ideas without technical bottlenecks.

Industry Context: Why This Launch Matters Now

The launch of Agentic AI comes at a time when financial institutions face growing pressure to do more with their data. With markets becoming increasingly volatile and investors demanding greater transparency, the need for real-time, explainable insights has never been higher.

Legacy analytics platforms, while powerful, often require specialist skills and long processing times. RiskSpan is positioning Agentic AI as a solution that removes these barriers, enabling firms to accelerate analysis without sacrificing accuracy, compliance, or clarity.

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