RiskSpan, a leading provider of data analytics for structured finance, has launched Agentic AI for MBS Data. This AI-powered platform delivers instant, transparent insights tailored for Agency MBS professionals. It eliminates coding barriers and transforms how traders, portfolio managers, and risk teams access MBS intelligence.
Solving the MBS Data Challenge
Although Agency MBS loan data is widely available, extracting meaningful insights often requires complex SQL or Python queries. This creates delays for professionals who need quick answers to seize opportunities.
Suhrud Dagli, RiskSpan’s Co-Founder and Chief Innovation Officer, emphasized the urgency:
“Our clients asked for faster, clearer data access. Agentic AI delivers immediate, transparent insights that meet their growing expectations.”
AI-Powered Analyst for Agency MBS
With Agentic AI for MBS Data, users ask questions in plain English and receive clear, visualized, and fully cited answers in seconds. There is no need for SQL or Python expertise.
For example, users can ask: “Which Ginnie Mae 2020 production pools had the fastest speeds in Q2?” The system responds instantly with sourced insights and narrative-ready visuals.
Key advantages include:
- Full Transparency – All sources cited for compliance and confidence.
- Deeper Insights – Identifies patterns and drivers often overlooked.
- Narrative-Ready Reports – Delivers polished summaries for executives and clients.
- Efficiency – Reduces dependence on technical teams for daily queries.
Transforming How MBS Professionals Work
Agentic AI for MBS Data helps professionals understand both the what and the why behind MBS performance. It reduces manual analysis from hours to seconds, enabling faster decision-making.
From spotting prepayment anomalies to explaining performance shifts, the platform empowers Agency MBS professionals to act with clarity and speed.
RiskSpan has made Agentic AI for MBS Data available immediately. The company is also offering live demos to showcase how the solution transforms MBS analysis and reporting.
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News Source: Prnewswire.com