Portfolio & Projects
Multi-agent AI systems built on established frameworks, demonstrating practical applications of human-AI collaboration in strategic reasoning
Research-Driven Development
Each project below represents a practical application of established analytical frameworks in human-AI collaboration and strategic reasoning. These systems demonstrate how multi-agent AI architectures can automate complex analytical methodologies while keeping human experts in the loop for high-stakes decision-making.
Research Prototypes
AI systems built on proven methodologies, each implementing specific analytical frameworks
Geopolitical Analysis Agent
Multi-agent system that analyzes geopolitical events using structured analytical frameworks. Implements competing hypotheses evaluation, stakeholder mapping, and scenario generation.
Key Capabilities:
- Multi-source data aggregation
- Structured analytical technique automation
- Escalation risk assessment
- Policy recommendation generation
International Relations Agent
Specialized agent for analyzing bilateral and multilateral relationships, treaty compliance, and diplomatic dynamics using academic frameworks from IR theory.
Key Capabilities:
- Bilateral relationship analysis
- Treaty and agreement tracking
- Diplomatic signal interpretation
- Historical pattern recognition
Text-Based Simulation Engine
AI-powered simulation framework that models multi-stakeholder dynamics, generates scenario trees, and forecasts strategic outcomes for policy planning.
Key Capabilities:
- Multi-actor scenario modeling
- Decision tree generation
- Outcome probability estimation
- Policy impact simulation
Stakeholder Network Mapper
Automated system for identifying stakeholders from documents, mapping power dynamics, influence patterns, and coalition opportunities in complex systems.
Key Capabilities:
- Entity extraction from documents
- Relationship network visualization
- Influence flow analysis
- Coalition opportunity identification
Analytical Methodologies
Academic frameworks implemented across our AI systems
Analysis of Competing Hypotheses (ACH)
Structured technique for evaluating multiple explanatory hypotheses against available evidence
Scenario Planning
Systematic approach to exploring and preparing for multiple plausible futures
Stakeholder Analysis
Comprehensive mapping of actors, interests, and influence in complex systems
Conflict Assessment Framework
Academic methodologies for analyzing conflict dynamics and intervention opportunities
Development Approach
Research Foundation
Each system is grounded in academic literature and established analytical frameworks from international relations, conflict studies, and strategic analysis.
Multi-Agent Architecture
Systems are built using multi-agent orchestration, with specialized agents handling different aspects of complex analytical tasks.
Human-AI Collaboration
Every system keeps human experts in the loop, augmenting rather than replacing analytical judgment in high-stakes decisions.
Need a Custom Solution?
These prototypes demonstrate our capabilities. We build custom multi-agent AI systems tailored to your organization's specific analytical needs and methodologies.