Mohamed Al Mehairbi@rain
2
Events attended
1
Submissions made
8+ years of experience
About me
I lead a multidisciplinary team at the intersection of artificial intelligence, creative media, and innovation. Our mission is to shape the future of intelligent experiences by merging advanced technology with visual storytelling and design thinking. At Lunar, I oversee strategy, innovation programs, and creative direction—driving forward projects that span AI development, cinematic production, startup incubation, and future technologies. We’re building an Abu Dhabi–based innovation hub that empowers creators, businesses, and visionaries to transform ideas into intelligent, scalable solutions. From crafting AI-powered media tools and immersive video experiences to fostering local innovation ecosystems, I’m focused on positioning Lunar Limited as a catalyst for creativity, technology, and progress in the region.
🤝 Top Collaborators
🤓 Latest Submissions
Lunar Graph - AI-Powered Fraud Ring Detection
Deriv's compliance teams face 2,100+ fraud alerts weekly, 95% false positives. Each investigation takes 25+ minutes, creating weeks-long backlogs. Meanwhile, fraud rings go undetected because every individual account passes KYC, AML, and risk checks perfectly. The insight: fraud is invisible individually — it's obvious at the network level. LunarGraph maps every entity (partners, sub-affiliates, clients, trades, payments) into a knowledge graph, then deploys three AI agents in parallel: Graph Anomaly Agent — Detects structural patterns like one partner controlling 20+ accounts through layered sub-affiliates sharing IP addresses and device fingerprints. Temporal Intelligence Agent — Identifies coordinated opposite BUY/SELL trades placed within 30-second windows across linked accounts (mirror trading for commission extraction). Behavioral Trajectory Agent — Compares partner behavior against known fraud signatures to predict emerging schemes 2-3 weeks before activation. The platform connects to the real Deriv WebSocket API. Partners invite affiliates via unique referral links, each generating a tracked trading account with a TradingView-style interface. Every trade feeds into the graph engine for real-time correlation analysis. An AI Copilot synthesizes findings into case reports in 28 seconds via natural language queries. Results: 99.86% alert reduction, 28-second case generation (vs 25min manual), 14-day predictive lead time, $178K+ fraud exposure detected across 3 rings and 73 entities.
7 Feb 2026
