Aegis — Autonomous Crisis Management AI

THE PROBLEM: Global supply chain disruptions cost enterprises $1.5 trillion annually. When crises hit — oil spikes, shipping closures, geopolitical escalations — human analysts take hours to respond. By then, damage is done. WHAT AEGIS DOES: Aegis is a fully autonomous 7-agent AI system that monitors global risk signals, scrapes live maritime intelligence from gCaptain and TradeWinds, predicts disruption impact using AMD-accelerated ML, and executes crisis response — in 2 seconds. THE 7-AGENT PIPELINE: 1. Signal Agent — detects anomalies + scrapes live MarineTraffic headlines 2. Intelligence Agent — interprets signals using Groq LLaMA 3.3 70B 3. Forecast Agent — ARIMA + XGBoost GPU-accelerated on AMD MI300X 4. Simulation Agent — 3 weighted what-if scenarios with cost estimates 5. Decision Agent — ranked action plan with dollar savings and timelines 6. Alert Agent — real-time Slack, email and dashboard notifications 7. Execution Agent — triggers enterprise workflows autonomously AMD MI300X: XGBoost via ROCm CUDA compatibility — 8-15x faster than CPU. Deployed on AMD Developer Cloud, 4 Gunicorn workers, unlimited concurrent users. Auto-monitors every 5 minutes 24/7. REAL-WORLD: Built during the live Strait of Hormuz crisis. Real gCaptain headline scraped: "Trump's Hormuz Blockade Deepened A Historic Shipping Crisis." Aegis classified CRITICAL at 95% confidence in 2 seconds. DEMO: Oil forecast +25% in 14 days. Delay risk 45.8%. Cost impact +13.1%. Savings: $1.7M. Pipeline: 2 seconds. BUSINESS VALUE: Targets logistics directors and supply chain VPs at $50M+ procurement companies. ROI after one prevented crisis per year at $2,000/month. Customers: maritime insurers, commodity traders, manufacturers with Hormuz exposure. COMPETITIVE EDGE: Unlike Resilinc or Everstream using human analyst networks — Aegis is fully autonomous. No analysts. No waiting. 2-second response. Moat is speed, autonomy and live data.