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Market Intelligence for the Syndicated Lending Desk

Benchmark proposed deal terms against historical market transactions. Structure deals with confidence, backed by anonymized data from thousands of closed syndicated loans.

The Challenge

Structuring Without Market Context

Syndicated lending teams spend hours manually assembling comparable deal data to evaluate proposed structures. Without reliable market benchmarks, pricing and structuring decisions rely on institutional memory and fragmented data — leading to inconsistent outcomes and slower execution.

Synply's benchmarking platform provides access to anonymized, historical market data drawn from closed transactions. Analyze deal structures, benchmark proposed terms against market norms, and build data-driven comparable analyses — all without exposing individual lender or borrower identities.

Fragmented Data

Pricing and structuring decisions rely on scattered spreadsheets, institutional memory, and phone calls — not market data.

Inconsistent Outcomes

Without benchmarks, the same deal can get structured differently depending on who reviews it and what data they have access to.

Slow Execution

Manually assembling comparable deal data takes hours or days — time better spent on relationship building and deal origination.

Deal fit score — percentile gauge, at market summary, and metrics table (Spread, Fee, Term, Interest Only, Amortization, Loan to Value)
Platform Capabilities

Four Tools for Data-Driven Syndication

Everything you need to benchmark, structure, and syndicate with market context.

Proprietary

Deal Fit Score™

Get an instant read on how your proposed structure aligns with historical market standards. Our proprietary scoring methodology synthesizes spread, fees, tenor, covenants, and other key dimensions into a single weighted benchmark against market norms.

Analytics

Comp Builder

Build custom comparable analyses using anonymized, historical transaction data. Explore structuring tradeoffs — understand how spread, fees, and terms interact across similar deal profiles. Filter by deal size, asset class, geography, and more.

Benchmarks

Market Benchmarks

See where proposed terms fall relative to historical market activity across thousands of closed syndicated loans. View percentile rankings, market averages, and distribution curves — all derived from fully anonymized transaction data.

Matching

Lender Matching

Identify potential syndication partners based on lending appetite, asset class focus, and geographic preference. Match your deal to lenders with demonstrated interest in similar credits — powered by each institution's own stated preferences.

Deal Fit Score™

Instant Market Alignment

Our proprietary scoring methodology synthesizes multiple deal dimensions into a single, weighted benchmark against market norms. Know instantly where your deal stands before you pick up the phone.

Weighted scoring across spread, fees, tenor, and covenants
Benchmarked against historical closed transactions
Percentile rankings show exactly where your deal falls
Dimension-level breakdown identifies potential outliers
Deal Fit Score™ $15.2M Multifamily — SE
82/100
Strong Market Alignment
Spread91st percentile
Fees78th percentile
Tenor85th percentile
Covenants64th percentile
Amortization72nd percentile
How It Works

Three Steps to Market Context

A secure, standardized process that turns closed transaction data into actionable market intelligence.

01

Contribute

Participating lenders submit closed transaction data through a secure, standardized process. All data is anonymized upon ingestion — no lender or borrower names are ever visible to platform users.

02

Benchmark

Compare proposed deal structures against aggregated market data. Statistical models surface averages, ranges, and percentile distributions across spread, fees, tenor, covenants, and more.

03

Decide

Make faster, more informed credit decisions using market context. All structuring and pricing decisions remain fully independent — the platform informs analysis, it does not recommend or set pricing.

Data Integrity & Privacy

Designed for Trust

Every design decision prioritizes data integrity, anonymization, and independent decision-making.

Fully Anonymized

No lender or borrower names are ever visible to platform users.

Historical Only

All benchmarks are derived exclusively from closed transactions.

Aggregated Outputs

Statistical averages and percentiles — never individual deal-level data.

Adaptive Privacy

Dynamic anonymization increases as filtered result sets narrow.

Independent Decisions

The platform informs analysis — it does not recommend or set pricing.

Compliance by Design

How Synply Is Materially Different

Synply's benchmarking platform is architected as a market research tool — not a competitive intelligence mechanism. Here's how our approach compares to platforms that have drawn antitrust scrutiny.

Risk Factor Platforms Under Scrutiny Synply's Approach
Data Timeliness ✗ Real-time or near-real-time competitive pricing data ✓ Historical closed-transaction data only; no active deal pricing
Output Granularity ✗ Individual lender pricing visible, enabling direct matching ✓ Aggregated statistical outputs only — averages, percentiles, ranges
Lender Identity ✗ Lender names or identifiable pricing visible to competitors ✓ Fully anonymized; no lender or borrower names at any level
Price Coordination ✗ Platform features encourage users to adjust pricing based on competitors ✓ No pricing recommendations; users make fully independent decisions
Adaptive Controls ✗ Same data granularity regardless of result set size ✓ Dynamic anonymization increases as filtered results narrow
Platform Design ✗ Competitive surveillance tool positioned as market advantage ✓ Market research platform positioned for informed structuring analysis

Synply is committed to operating as a trusted, independent market data platform. Our benchmarking tools are designed to help lenders make better-informed, independent decisions — not to facilitate coordination between competitors. We continuously evaluate our product architecture, data handling practices, and user-facing language against evolving regulatory guidance.

Ready to bring market data to your lending desk?

See how Synply's benchmarking platform can transform your structuring and syndication process.

Request a Demo