Uncover what auditors miss.
Our military-grade forensic engine scans financial DNA to expose hidden risks, accounting anomalies, and fraud patterns before they become headlines.
Multi-Layered Forensic AI Engine
Three layers of intelligent analysis working in concert to expose financial irregularities.
Layer 1: Statistical Anomaly Detection
Mathematical models that flag deviations from expected patterns.
- ✓ Benford's Law Analysis
- ✓ Z-Score Distribution Mapping
- ✓ Outlier Detection Algorithms
- ✓ Time-Series Anomaly Detection
Layer 2: Deep Learning Pattern Recognition
Neural networks trained on millions of fraudulent financial statements.
- ✓ LSTM Networks for Sequential Analysis
- ✓ Transformer Models for Context
- ✓ Convolutional Layers for Document OCR
- ✓ Attention Mechanisms for Key Metrics
Layer 3: Graph Neural Networks
Map hidden relationships between entities, transactions, and subsidiaries.
- ✓ Related Party Transaction Mapping
- ✓ Ownership Structure Analysis
- ✓ Cross-Entity Flow Detection
- ✓ Shell Company Identification
Scientifically-Proven Detection Methods
Battle-tested forensic techniques enhanced with machine learning.
Benford's Law Analysis
Statistical Distribution
Analyzes the distribution of first digits in financial data. Natural data follows a predictable logarithmic pattern: fabricated numbers typically don't.
Detection Signal: Deviation >2.5σ triggers investigation flag
Altman Z-Score Engine
Bankruptcy Prediction
Multi-factor model predicting corporate financial distress using working capital, retained earnings, EBIT, market value, and sales ratios.
Risk Zones: Z < 1.81 = Distress | Z > 2.99 = Safe
Cash Reality Check
Earnings Quality
Compares reported net income against actual operating cash flow. Persistent gaps reveal aggressive revenue recognition or "paper profits."
Warning: CFO/NI ratio < 0.8 for 3+ quarters
Beneish M-Score
Manipulation Detection
Eight-variable model detecting earnings manipulation through days sales, gross margin, asset quality, depreciation, and accruals indices.
Threshold: M > -1.78 indicates likely manipulation
Continuous Surveillance Dashboard
24/7 monitoring of your entire portfolio with instant anomaly alerts.
Sector-Tailored Detection Logic
Custom algorithms for each industry vertical's unique risk patterns.
Banking & Finance
- • NIM stability monitoring
- • Loan loss provision analysis
- • FX paradox detection
- • Basel III capital ratio tracking
Insurance
- • Claims reserve validation
- • Combined ratio analysis
- • Under-reserving detection
- • Reinsurance structure review
Real Estate
- • Percentage-of-completion tracking
- • Capitalization trap detection
- • Asset impairment analysis
- • Related party lease review
Technology & SaaS
- • Deferred revenue analysis
- • Churn masking detection
- • ARR quality scoring
- • Stock comp inflation check
Retail & Consumer
- • Same-store-sales validation
- • Inventory hoarding detection
- • Channel stuffing flags
- • Lease liability analysis
Pharmaceuticals
- • R&D capitalization review
- • Pipeline valuation check
- • Rebate liability analysis
- • Clinical trial cost tracking
Seamless Case Management
From detection to resolution: a complete forensic workflow.
1. Ingest
Upload financials via API, SFTP, or direct integration with SEC EDGAR, Companies House, etc.
2. Analyze
200+ detection algorithms scan every line item. AI models flag anomalies with confidence scores.
3. Investigate
Case management with audit trails, collaborative annotations, and document linking.
4. Report
Generate court-admissible forensic packages with blockchain-verified timestamps.
See the Forensic Core in Action
Upload any financial statement and watch our AI dissect it in real-time.