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Predicting Geopolitical Risk with AI

Synaptic Quanta builds AI-powered geopolitical prediction systems using the Functional Consciousness Index (FCI): a six-criterion architecture that models geopolitical environments the way conscious organisms model theirs

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THE PROBLEM

The Problem with Geopolitical Prediction

Conventional geopolitical risk models are static — they score current conditions but cannot adapt when the environment shifts. They lack temporal depth, error correction, and the capacity to revise their own predictions. Institutions relying on these models are perpetually behind events rather than ahead of them.

Our Approach: Consciousness-Inspired Architecture

The FCI framework evaluates and builds AI systems using six criteria derived from the science of consciousness: Integration, Temporal Depth, Model Complexity, Global Coordination, Boundary Integrity, and Adaptive Error Correction. Applied to geopolitical prediction, this produces systems that model causal relationships across time, detect when their predictions fail, and revise autonomously — capabilities absent from conventional risk scoring.

SERVICES

    • GeoIntel FCI:

      Real-time geopolitical risk prediction system incorporating adaptive error correction and temporal modelling. Currently in development.

    • Strategic Advisory:

      C-suite and institutional advisory on geopolitical risk, AI strategy, and decision-making under uncertainty. Engagements available.

ABOUT

Arik Shimansky holds an M.Sc. in Quantum Chemistry and served as Director at Citibank London, specialising in institutional risk management, derivatives, and investment structuring and  advisory. He previously held senior positions at Investec Bank (Financial Products) and has over 25 years of experience bridging quantitative analysis with institutional decision-making. He is the developer of the Functional Consciousness Index (FCI) — a novel framework for evaluating and building AI systems with adaptive, self-correcting architectures. His current research focuses on applying FCI to geopolitical prediction systems.

Yaniv Dolev is a serial deep-tech entrepreneur and served as Founder, CEO, and COO of Moebius Medical, specializing in the commercialization of complex scientific innovations. With over 15 years of experience in the life sciences and medical technology sectors, he has a proven track record of taking products from early-stage, in-vitro prototypes through rapid fund-raising rounds and into global markets. He previously negotiated and secured an exclusive global licensing agreement with Sun Pharma and has guided multiple companies through First-in-Human clinical trials. His expertise includes managing intellectual property, structuring strategic alliances, and scaling AI-driven decision-support tools. At Synaptic Quanta, he leads operational strategy, enterprise partnerships, and the commercial scaling of the GeoIntel FCI architecture.

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aryeh@synapticquanta.com

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