High school student building data-driven systems for geopolitical analysis, escalation monitoring, and infrastructure risk modeling.
Currently focused on geospatial intelligence workflows, multi-source event pipelines, OSINT architecture, and operational risk analysis.
Recipient of the Palantir Valley Forge Grant supporting independent experimentation in geopolitical analysis and intelligence tooling.
Asset relationship and event-correlation network view.
AEGIS is an asset-centered geopolitical intelligence and escalation monitoring platform designed to analyze global instability, infrastructure exposure, conflict escalation, and emerging strategic risk.
The platform combines:
- Geospatial visualization
- Multi-source intelligence ingestion
- Evidence correlation workflows
- Structured conflict/event analysis
- Analyst-oriented interfaces
- AI-assisted operational reasoning
Current architecture includes:
- Next.js + TypeScript frontend
- Neon/Postgres-backed infrastructure
- Structured event ingestion pipelines
- UCDP integration
- Evidence and corroboration workflows
- Asset-centered exposure analysis
- Experimental analyst AI interfaces
- Geopolitical escalation analysis
- Infrastructure and supply chain exposure
- Operational intelligence UX
- Explainable intelligence systems
- Multi-source signal correlation
- Geospatial intelligence tooling
- Geopolitics
- OSINT
- Geospatial systems
- Intelligence workflows
- Infrastructure risk
- Data engineering
- Network analysis
- Applied AI systems
- TypeScript
- React / Next.js
- PostgreSQL
- MapLibre / Geospatial tooling
- Vercel
- Python
- Node.js
- Improve event quality and corroboration pipelines
- Expand structured intelligence ingestion
- Build more explainable asset-risk workflows
- Explore operational intelligence interfaces and graph-based analysis
Asset-centered geopolitical monitoring platform focused on escalation analysis, infrastructure exposure, and operational intelligence workflows.
Core areas:
- Multi-source OSINT/event ingestion
- Geospatial intelligence visualization
- Evidence correlation pipelines
- Asset-centered impact analysis
- Experimental analyst interfaces
- AEGIS Platform: https://aegis-hq.com
- AEGIS Repository: https://github.com/alex-armand-blumberg/aegis-web
- LinkedIn: https://www.linkedin.com/in/alexanderbab/
AEGIS is an independent research and engineering project and should not be treated as an authoritative intelligence or forecasting system.


