CapMatch Intelligence Layer

Re-Fi Radar: Refinance Matchmaking Before Anyone Asks

Re-Fi Radar continuously tracks U.S. loan maturities, macroeconomic shifts, and lender buy-box preferences—then proactively identifies high-probability refinance matches and structures indicative pathways to execution.

Traditional refinancing starts late: borrowers scramble, lenders sift, and timing gets lost. Re-Fi Radar flips that model. It detects refinance pressure early, scores lender fit in real time, and turns market signals into transaction-ready opportunities.

Built for the 2026 Refinance Window

Commercial real estate is entering a decisive refinancing phase. A large volume of loans is approaching maturity while capital remains selective and structure-sensitive. Falling rates have improved feasibility for many assets—but not uniformly.

Re-Fi Radar is designed for this exact market condition. It continuously reads timing pressure, underwriting appetite, and macro direction so that refinance opportunities are identified and shaped before they become distressed or stale.

Maturity Pressure

A broad wave of loans is approaching term limits across geographies and asset classes.

Macro Repricing

Rate and liquidity shifts are creating new refinance paths—but only for deals that fit current credit preferences.

Execution Gap

Most market participants still rely on manual outreach and reactive pipelines.

Signal → Fit → Structure → Execution

How Re-Fi Radar transforms raw data into transaction-ready opportunities.

1

Detect the maturity universe

Re-Fi Radar continuously ingests data from government, municipal, public, and proprietary industry sources to identify borrowers with approaching maturities.

2

Read the macro state

It overlays current macro conditions—rate direction, credit tone, and liquidity signals—to understand refinancing viability in context, not in isolation.

3

Map lender buy boxes

Lender preferences are modeled in detail: asset class, market, size, leverage bands, sponsorship profile, business plan tolerance, and structural constraints.

4

Score match confidence

Each potential borrower-lender pair is evaluated for alignment strength, timing relevance, and execution feasibility.

5

Generate indicative pathways

Before outreach begins, Re-Fi Radar creates mock term-sheet ranges and structured deal narratives so conversations start with substance.

6

Activate proactive matchmaking

CapMatch initiates high-fit opportunities directly, reducing friction and accelerating path-to-close.

Multi-Layer Intelligence, Not Single-Point Filtering

Borrower / Deal Signals

  • Loan maturity timeline and urgency profile
  • Asset type and submarket characteristics
  • Sponsor quality and operating context
  • Capital stack and refinance constraints
  • Execution readiness indicators

Lender / Market Signals

  • Buy-box parameters and exclusions
  • Ticket size and leverage preferences
  • Sector appetite and regional priorities
  • Structural preferences (recourse, amortization, covenants)
  • Current market responsiveness and capacity windows

The system is built to reflect how real deals get done: dynamic, constrained, and highly timing-dependent.

From Raw Signal to Decision-Ready Opportunity

Re-Fi Radar does not stop at “match found.” It produces execution-grade outputs that help both sides evaluate fit quickly and transparently.

Prioritized refinance opportunity queue based on timing and match confidence

Indicative term-sheet ranges tailored to lender preferences and market context

Match rationale summaries explaining why a pairing is likely to transact

Execution-readiness profiles highlighting key diligence gaps early

Continuously refreshed status states as macro and lender signals evolve