How Private Credit Teams use F2 to do Better Deals, Faster

The private credit market is more crowded, competitive, and complex than ever (source: Morgan Stanley). Winning the deal often comes down to who can review the data room first and deliver a credible offer fastest. 

But in a world of creative capital structures, macro uncertainty, and systemic risk, rushing the process can be fatal (source: The Guardian). The old tradeoff — speed vs. thoroughness — doesn’t work anymore.

F2 eliminates that tradeoff by combining structured analysis, deep financial modeling, and instant benchmarking in one platform.

“The firms that win the bid are those that can move first — and still know exactly what they’re buying.” –– Don Muir ( CEO, F2)

1. Deal Screening — From Data Room Dump to Investment Insight in Minutes

Private credit deal rooms have exploded in size — hundreds of files, inconsistent formats, half in PDFs (source: Ernst & Young)  Every firm is chasing the same opportunities. The fastest credible offer wins.  (source: Pitchbook). But manual reviews risk missing red flags, exposure issues, or covenant concerns. 

F2’s AI-powered ingestion covers every material: CIMs, Excel models, presentations, customer data, contracts, and filings.  It synthesizes deal materials into structured summaries across business model, unit economics, risks, and covenant terms — and instantly flags mandate fit.

Common Queries include:

• Summarizing all downside cases modeled in the data room.
• Extracting leverage and interest coverage metrics from all versions of the model.
• Highlighting recurring revenue contracts with change-of-control clauses.

Screen 5–10x more deals without sacrificing diligence. Deliver term sheets first, with confidence that nothing critical was missed.

2. Financial Analysis — Modeling Complex Deals Under Multiple Scenarios

As credit structures get more creative — PIK toggles, unitranche blends, cov-lite terms — traditional Excel analysis can’t keep up (Source: Dechert LLP). 

Macroeconomic pressure demands richer scenario modeling and more transparent sensitivity analysis. Analysts burn days normalizing models and validating numbers instead of thinking through risk.

F2 parses Excel models, PDFs, and financial exports automatically into normalized financial schemas. It instantly calculates key credit metrics, MRR waterfalls, and customer concentration analyses, enabling side-by-side scenario modeling and covenant stress testing across versions.

Common Queries Include:

• Running downside scenarios with 200bps rate shock to understand coverage ratio sensitivity.
• Building LTV/CAC and churn waterfall for top customers.
• Quickly create a customer cube from messy raw data to further query during deal analysis

Analysts spend time interpreting outcomes, not fixing models. Teams can price, structure, and negotiate faster — and smarter.

3. Benchmarking — Calibrate Every Deal Against Portfolio and Market Reality

With spreads tightening and terms flexing, context is everything. Firms need to know not just if a deal is good, but if it’s better than what’s already in the book — or what peers are paying. Benchmarking today is anecdotal and inconsistent. (source: Golub Capital)

F2 centralizes a firm’s entire Deal Library, including closed deals and public comps, into a single benchmark layer. By either locally uploading or importing from a file storage platform like Sharepoint, investors can automatically compares leverage, growth, margins, and covenant structures across deals, delivering real-time insight into where each new opportunity sits relative to the firm’s cost of risk.

Common Queries include:

• Comparing leverage and covenant packages for all deals >$100M EBITDA.
• Ranking deals by interest coverage vs. market medians.
• Showing how a given deal’s terms differ from another set of deals in your Sharepoint directory

Term sheets and IC memos are backed by quantitative context, not gut feel. This gives credit teams faster conviction in competitive auctions with defensible rationale.

4. Audit Analyst Work Quickly — Verify, Trace, and Trust Every Number

As deal cycles accelerate, ensuring quality and accountability in analyst output has become mission-critical. With more data, tighter deadlines, and multiple stakeholders touching the same files, traditional review cycles create friction and delay.

F2 brings instant auditability to every analysis. Every metric, chart, or memo reference links directly back to its data source — whether that’s a model cell, contract clause, or management deck.

Common Queries include:

• Track every analyst change and assumption in real time to know who did what, when - and revert if needed
• Share collaborate on deals in real time with other members on the deal team, or export complete memos to share outside the platform
• Instantly validate that numbers in the memo or benchmark tables match underlying models.

Deal teams maintain speed and rigor. Review cycles compress from days to minutes, and partners can approve analyses knowing they’re fully source-linked and auditable.

5. Memo Creation — Turning Analysis into Actionable Investment Narratives

IC memos have become the bottleneck — teams spend 20–40 hours assembling data, formatting charts, and aligning to credit boxes. Every memo is a reinvention; every change requires rework (source: High Yield Harry). In competitive auctions, memo turnaround speed can decide who wins the allocation.

F2 automatically generates draft IC memos using deal data, financial outputs, benchmarks, and credit criteria. Every metric and statement links to its underlying source, producing fully auditable, IC-ready documents. The system dynamically adapts for credit, hybrid, or co-invest structures.

Common Queries include:

• Draft a two-page IC memo with sensitivity analysis and benchmark comparisons.
• Overlay this deal’s structure on our credit box and summarize fit.
• Pull comparable exits with similar covenants from Factset, CapIQ, or Pitchbook

Memos are consistent, defensible, and ready in hours. Analysts focus on judgment, not assembly. Execution teams move at the speed the market demands.

Why Private Credit Teams Choose F2

F2 gives private credit teams an unfair speed advantage without compromising rigor — combining deep financial intelligence with AI-native automation.

“In private credit, speed wins. But understanding risk keeps you in the game. F2 gives you both.” –– Don Muir ( CEO, F2)

See how leading private credit firms are closing faster and underwriting smarter with F2. Request a demo and experience AI-native underwriting built for the modern private credit market.