AI-powered multi-agent platform for evidence-driven scenario simulation and strategic decision-making. Supports corporate \& military domains with debate protocol.

Curated reading list for intelligence professionals, covering geopolitics, maritime security, and strategic analysis

Evidence & eval layer for strategic intelligence agents. Markdown protocol, JSON schemas, CLI checks, and a stdio MCP server that help AI agents produce auditable, schema-valid, evidence-aware policy / sanctions / regulation / geopolitical-risk briefs. Not a factuality verifier.

AI-native foresight intelligence platform integrating Schwartz scenario planning, CLA, Three Horizons, STEEP, and swarm dynamics

Strategic foresight engine using IFTF methodology. Soft Predict (Claude-native) + Hard Predict (deterministic Python chain). Drivers, cross-impact, backcasting, four-scenario reports.

Strategic analysis of Brazil's semiconductor supply chain vulnerability using Python, Pandas & Seaborn.

Framework for testing strategic reasoning in LLMs using evolutionary Iterated Prisoner’s Dilemma tournaments. Features 28 agents, variable horizons, memory conditions, high-concurrency execution, and detailed analysis of cooperation rates, strategic fingerprints, and LLM decision rationales across providers and temperatures.

Official landing page for the Daedalus Strategic Intelligence platform. Discover how our AI-driven ecosystem transforms global data into actionable foresight.

Multi-agent strategic intelligence system with hybrid memory retrieval. Research project.

AI opportunity engine for discovering, scoring, positioning, and executing high-leverage opportunities.

An advanced, agent-driven presentation framework built with Nuxt 4, designed to dynamically visualize AI-generated research and strategic insights through a modular, high-performance architecture.

AI Audit State framework: analyzing capital, energy & labor constraints for systemic risk.