AI-driven ad fraud detection platform combining Google’s patterns with proprietary algorithms for real-time network audits and automated blacklisting.
AdSentinel AI targets the €7.2B ad verification market with explainable AI that audits 5M+ impressions/month. Designed for mid-market platforms, it reduces false positives by 32% compared to legacy solutions while cutting operational costs through automated network blacklisting and real-time pattern recognition.
Core Functionality
Combines NLP transaction analysis with Google’s scam detection patterns. Key features:
- Real-time fraud probability scoring
- Automated network blacklisting engine
- Historical cost-savings calculator
- White-labeled Clean.io integration
Target User and Segment
Focuses on:
- Mid-market ad platforms (€5M-€50M spend)
- E-commerce aggregators
- Programmatic buying teams
Recommended Tech Stack
- Backend: Python/TensorFlow + Google Vertex AI
- Frontend: React.js/D3.js dashboard
- Infrastructure: GCP serverless architecture
Estimated MVP Costs
Total €130k (±15%):
- 800h development (€80k)
- 300h AI training (€30k)
- 200h testing (€20k)
SWOT Analysis
- Strengths: 2.1B impression dataset, Google partnership
- Weaknesses: API dependency, limited crypto support
- Opportunities: EU DSA compliance needs
- Threats: Bundled solutions from DoubleVerify
First 1000 Customers Strategy
Three-pronged approach:
- LinkedIn outreach (€15k budget)
- Google Cloud co-marketing
- SEM-free audit funnel (€50 CPA)
Monetization
- €999-€2,499/month tiers
- Break-even at 84 Starter subscribers
- Core team costs: €235k/year
Market Positioning
Differentiates through:
- 45% cost reduction claims
- API licensing model
- Focus on explainable AI dashboards
