The first AI platform built to democratize and transform forensic and fraud auditing — Made for empowering auditors, investigators, and risk professionals with AI-driven automation, insight, and scale.
We are not another fraud tool.
DeepFrauds.AI is an intelligent, end-to-end audit copilot—built to exempt auditors from tedious fraud analytics and unleash real-time forensic intelligence across every audit engagement. With GenAI at the core, we blend traditional audit rules, forensic analytics, and enterprise fraud typologies with autonomous narrative generation and risk governance—redefining how financial crime is detected, reported, and prevented.
7 Modular Pillars — One Autonomous Platform
Your generative AI audit copilot.
Command center for enterprise-wide fraud resilience.
AI-powered behavioral audit intelligence.
Automated journal entry forensic analysis.
Earnings manipulation detection, reimagined.
Intelligent diagnostics for financial reporting compliance.
Intelligent advisory for regulatory compliance in audit planning.
Trained on industry-specific enterprise fraud schemes:
Time-to-detection from weeks to minutes with autonomous fraud analytics
Exempts auditors from manually building models and running repetitive tests
Combines traditional rules with LLM-based fraud schema discovery
Automatically generates auditor-ready reports and governance recommendations
Our intelligent model continuously learns and adapts to detect fraud and estimate precise fraud risk scores for every payment transaction.
Our solution integrates AI with statistical models to effectively detect ledger anomalies. By combining generative intelligence with predictive analytics, we identify suspicious accounting patterns and generate accurate fraud risk assessments for enhanced financial security.
The reimbursement claim is detected by our AI model to generate suspicious patterns and produce fraud risk scores.
Powered by generative AI and predictive analytics, our solution identifies fraudulent financial statements by analyzing accounting patterns and detecting anomalies. The system predicts manipulation risks and generates fraud scores.
Business purchase transaction is analysed by our self-organize map (SOM) system and automatically detect anomaly transaction in real-time.
We reduce the cost of payroll fraud, the model automatically recognizes fraud and red flags inside enterprise datasets.
Join the next generation of fraud auditors who detect more, audit less, and govern intelligently with AI.