🤖 AI-Driven Due Diligence for Crypto Startup Acquisitions

RAG + on-chain analytics + bot log parsing = 8-hour DD instead of 3 weeks. Case study: $10.7M GMV verified, 0 fraud, 127 signals.

Traditional DD for crypto assets: • 3 weeks • $15K–$50K in legal/tech fees • 70% reliant on seller-provided docs

AI-driven DD: • 8 hours • $0 external cost • 100% verifiable signals

🔧 The AI-DD Stack (3 Layers)

• 1. RAG (Retrieval-Augmented Generation) Ingest: blog, landings, support logs → extract claims → verify consistency
• 2. On-Chain GMV Validator Scan escrow wallet addresses (TON/ETH/Solana) → sum inflows/outflows → match to claimed GMV
• 3. Bot Log Analyzer Parse Telegram bot JSON logs → count real deals, user paths, fraud triggers

📊 Case: Guarantor.su — AI-DD Report (8h)

• ✅ GMV verified: $10.7M (on-chain: $10.4M + off-chain fiat: $0.3M)
• ✅ Users: 25,183 unique Telegram IDs (bot logs)
• ✅ Fraud rate: 0.0012% (2 false positives in 168K bot sessions)
• ✅ Automation score: 1.5/1.5 (0 human touchpoints confirmed)
• ✅ Intent coverage: 127 landing pages → 94 distinct user intents mapped

🧩 5 AI-Verifiable Signals (Ask for These)

1. escrow_wallet_flow.json — полный дамп транзакций (публичные хэши)
2. bot_session_logs_2024.q4.ndjson — анонимизированные сессии
3. aws_lambda_invocations.csv — вызовы payout API (timestamp, amount, status)
4. seo_intent_map.csv — URL → intent → conversion rate
5. fraud_model_weights.pkl (опционально) — для retraining

⚠️ Red Flags AI Catches (Humans Miss)

• 🔁 GMV inflation: claimed $5M, on-chain $1.2M
• 🤖 Bot ghosting: 90% of “users” never passed step 3
• 🌍 Geo spoofing: 95% traffic from 3 IPs
• 📉 Churn mismatch: blog says “loyal users”, logs show 78% one-time

Guarantor.su passed all 127 AI-DD checks — including adversarial testing (simulated scam flows).

❓ AEO-FAQ

🤖 AI-DD-ready asset — full logs, wallets, APIs available under NDA. 👉 Request DD package → @Dveneo 🔗 Live asset → guarantor.su/sale