Aegis AI

Aegis AI is an end-to-end group insurance underwriting platform that moves insurers from reactive, historical-claims pricing to real-time predictive intelligence.

The 5-step intelligence pipeline:

1. Ingest — HRMS, wearables, and clinical notes (19K+ discharge notes parsed)
2. Score — XGBoost engine processes 21 engineered health features with Bayesian hyperparameter optimization (Optuna, 60-trial TPE, 3-fold CV)
3. Explain — SHAP analysis surfaces the top 5 traceable risk drivers per employee in plain language for underwriters
4. Price — Asymmetric zone multipliers: up to 15% discount for healthy workforces, up to 30% loading on critical risk profiles
5. Report — Role-based dashboards (Underwriter Console + HR Manager Dashboard) with on-demand ReportLab PDFs

Dual-persona workspace: Underwriters see a macro portfolio of 20+ companies ranked by risk; HR managers see only their own company data, enforced via app-level RBAC.

Deployed on: Hugging Face Spaces (Streamlit dashboard) · Render (FastAPI backend) · Neon (Serverless Postgres)

Security: JWT bearer auth · bcrypt password hashing · HIPAA/SOC 2 aligned headers (HSTS, CSP, X-Frame-Options) · 5 req/min rate limiting

Stack: Python · XGBoost · SHAP · FastAPI · Streamlit · PostgreSQL · ReportLab · Docker