Pre - Deal Due Diligence

End-to-end due diligence coverage — from initial market assessment to final risk report — so deal teams close with full confidence

✅ Revenue quality assessment separating recurring, non-recurring, and at-risk revenue streams

✅ EBITDA normalization with full QoE adjustments — add-backs, one-time items, and accounting anomalies identified

✅ Working capital analysis with normalized peg calculation and seasonal adjustment

✅ Cash flow deep dive tracing the gap between reported earnings and actual cash generation

✅ Customer and cohort analysis covering retention trends, concentration risk, and churn signal

✅ SaaS metrics audit covering NRR, GRR, CAC payback, LTV/CAC ratio, and logo churn

✅ Red flag and risk identification report mapping material to deal with risks before close

✅ Clean, structured analysis of customer and workforce sentiment
✅ Net Sentiment Scoring model with Positive, Negative, and Neutral sentiment buckets
✅ KPI benchmarking against competitors or industry peers

What we do

1. Analyze reviews from Google, Yelp, Trustpilot, G2, and other open-source platforms.

2. Use LLM-based models to bucket comments into positive, negative, and neutral categories.

3. Cluster mentions into themes such as product quality, customer service, reliability, pricing, delivery, and value perception.

4. Identify sentiment trends, recurring issues, and hidden brand risks.

What we deliver

Pricing

✅ Starting at $4,000 for any standard Deck

(Customizable as per requirement)

Customer Sentiment Analysis

Financial Due Diligence

1. Revenue Quality & ARR Analysis — Identifies whether revenue is real, recurring, and sustainable — not just reported.

2. EBITDA Normalization & Quality of Earnings — Strips out one-time items, owner add-backs, and accounting noise to surface true earnings power.

3. Working Capital Assessment — Establishes normalized working capital levels to avoid surprises at close.

4. Cash Flow Analysis — Traces real cash generation versus reported earnings to expose hidden gaps.

5. Customer & Cohort Analysis — Breaks down who is buying, who is staying, and who is churning — beneath the revenue line.

6. Forecasting & Scenario Analysis — Stress-tests management projections against realistic scenarios to validate what is actually being acquired.

7. SaaS Metrics Deep Dive — Analyzes NRR, GRR, CAC payback, and churn forensics to pressure-test the growth story.

8. AI-Assisted Financial Analysis — AI-driven workflows process financial data faster and surface patterns that traditional analysis misses.

9. Red Flag & Risk Identification — Documents material risks before signing, so deal teams walk in fully informed.