For Lenders & Risk Teams

The Collateral Behind the Deal Deserves Better Intelligence Than a BPO.

68,448 distinct CMBS loans ($352B) from ~380 trusts, tracked across quarterly loan periods. Bank CRE coverage on 45,000 loans across 4,676 institutions. Institutional manager flows. The same intelligence that costs $100K+/yr from commercial vendors, built into your collateral review workflow.

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Intelligence That Strengthens Every Underwriting Decision

68,448 CMBS Loans ยท $352B

68,448 distinct CMBS loans ($352B) across ~380 CMBS trusts, tracked across quarterly reporting periods. Collateral intelligence beyond what appraisals capture: equity position, comparable sales, lien history, and neighborhood trajectory built into underwriting before the LOI arrives.

Spot Portfolio Stress Before It Becomes a Default

Early-warning monitoring of equity compression, vacancy signals, and distress indicators across your portfolio, surfacing risk well before it reaches your servicer.

ZIP and Market-Level Risk Context for Every Deal

Market reports quantify supply/demand balance, price momentum, and rental vacancy trends at the ZIP level. Know whether the collateral is in an appreciating market or a softening one before you underwrite to exit value.

Infrastructure and FEMA Risk Overlay for Collateral Review

Layer FEMA flood zones, infrastructure vulnerability, and environmental signals directly onto your underwriting workflow. Identify collateral exposure to long-term risk that appraisals routinely miss or defer to footnotes.

FDIC Bank CRE + 13F Institutional Data

Bank CRE coverage on 45,000 loans across 4,676 institutions. Institutional manager flows. Macro rate indicators. These datasets replace commercial subscriptions that cost $100K+/yr and give lending teams the institutional market context to underwrite with confidence.

Scenario Modeling for Stress Testing

Hold vs. exit analysis, interest rate sensitivity, and risk-adjusted return projections built into the platform. Run downside scenarios on any asset before committing to a term, with structured output your credit committee can review.

Underwriting Confidence Built on Real-Time Market Data

Lenders who underwrite to current market conditions close faster, price more accurately, and carry fewer surprises to closing. The difference between a smooth close and a last-minute renegotiation is usually the quality of the market intelligence behind the underwriting model.

Rippleffekt provides the collateral context, market trends, and distress signals that let your team make faster decisions with higher confidence, without multiplying the number of data subscriptions your operation runs or adding analyst hours to every deal.

For portfolio-level risk management, the live intelligence map gives you geographic visibility across your entire book, overlay FEMA zones, market stress indicators, and vacancy signals to identify geographic concentration risk before it compounds.

Property Intelligence Reports replace manual comp pulls with structured collateral context

Ownership history, equity position, lien detail, comparable sales, distress signals, and neighborhood risk, assembled before the offer, formatted for credit committee review.

Portfolio monitoring via ZIP reports tracks market conditions around your entire book

Continuous market monitoring without per-property data orders or manual market surveys.

Scenario modeling stress-tests exit assumptions at any point in the hold period

Base, bull, and bear cases with interest rate sensitivity, structured for credit committee review.

Better Collateral Intelligence. Faster Decisions. Fewer Surprises at Closing.

Request access to see how Rippleffekt maps to your underwriting workflow, portfolio monitoring needs, and collateral review process.