MindCast AI
Simulate the Future With Cognitive Digital Twins + Dynamic Predictive Game Theory for AI Era Law | Behavioral Economics
MindCast News
August 2026
— Simulation of the US Open Tennis Tournament (forthcoming)
— Explore MindCast AI with ChatGPT and Claude
— Exec presentation materials to meet demand from the Middle East, South Asia, East Asia for geopolitical data center capital allocation
May-July 2026
— MindCast submits comment to Department of Energy to define 'transmission need,' which impacts future AI data center development
— Attending Intersection of Technology & Professional Sports at Madrona Venture Group MindCast Sports Simulations Executive Edition
— MindCast lightning talk on national AI data center regulation at Bellevue AI Infrastructure Summit
— MindCast adapts sports simulation models from Super Bowl LX and World Cup to simulate the US Open Tennis Tournament
— MindCast prediction of Spain win in World Cup final, validated
— MindCast filed second comment in CFTC prediction market rulemaking process
— Beijing Summit validated MindCast predictions on China's H200 refusal and domestic-substitution play
Predictive Intelligence for Complex Decisions
We build dynamic predictive game theory and behavioral economics foresight simulations for organizations facing high-stakes decisions. Our clients include litigation professionals, economists, innovation strategists, and geopolitical risk analysts who require forecasting beyond conventional models.
Based in Bellevue, WA and operating globally, we work with legal teams, policy researchers, and enterprise decision-makers who need quantified answers before committing to a course of action. Our simulations translate complex, multi-variable environments into clear, actionable intelligence.
Consulting Built on Predictive Simulation, Not Intuition
Every engagement begins with a model, not a hunch. We construct a cognitive digital twin of the system in question, then apply game theory and behavioral economics to test outcomes before any strategy is put into practice.
This means our consulting delivers ranked, quantified scenarios rather than general recommendations, giving clients a defensible basis for decisions in litigation, market strategy, and geopolitical risk.
CONSULTING
AI Consulting Services
We architect AI strategy, machine learning integration, and ethics & compliance frameworks for organizations adopting predictive intelligence at scale.
MODELING
Cognitive Digital Twin Modeling
We construct proprietary digital replicas of complex organizational and market systems to reveal hidden risk and forecast system behavior.
SIMULATION
Game Theory & Scenario Simulation
We simulate competitive strategy, negotiation, and conflict dynamics, mapping every branch of a decision before our clients commit to one.
BEHAVIORAL
Behavioral Economics Analysis
We quantify the underlying cognitive biases and incentive structures driving consumer, juror, and stakeholder decisions across every case we take on.
LITIGATION
Litigation Support Services
We forecast likely case outcomes, model jury behavior patterns carefully, and simulate settlement scenarios for complex litigation teams nationwide.
GEOPOLITICAL
Geopolitical Risk Intelligence
We forecast regional political stability, trade policy impact, and conflict risk directly using AI-driven scenario modeling tools and analysis.
Complex Litigation
Innovation Economics
Legacy Innovation
Geopolitical Risk Intelligence
Behavioral Economics
Cognitive Digital Twin Modeling
Dynamic Game Theory
Artificial Intelligence Consulting
Regulatory & Policy Forecasting
Market Disruption Analysis
From Raw Data to a Decision You Can Defend
We begin by translating raw data, legal, economic, or market, into a cognitive digital twin that mirrors the system in question. From there, we layer in behavioral economics and dynamic game theory to model how individuals, competitors, and institutions are likely to act under real conditions.
The result is a simulation that produces quantified, testable outcomes rather than an opinion. Every model we deliver includes accuracy validation, so the decision you make afterward stands on evidence you can present and defend under scrutiny.
Build the Twin
We construct a cognitive digital twin of your organization, market, or case — encoding the actors, incentives, and constraints.
Model the Game
We apply dynamic game theory to map every plausible move, counter-move, and equilibrium available in the system.
Layer Behavioral Foresight
We weight every branch of the game with Behavioral Economics — loss aversion, incentive asymmetries, institutional bias — so the model reflects how actors actually decide.
Deliver the Simulation
We deliver dynamic, defensible scenarios — optimal path and risk paths — so decisions are made with foresight, not guesswork.
2025
Founded on the intersection of law & AI
Global
Fully virtual, 24/7 engagement model
Stanford Law
Research republished by Stanford Law School
State Testimony
Testified before WA State House & Senate
Our work has been republished by Stanford Law School and published by Competition Policy International, placing our methodology alongside institutions that shape legal and economic thinking. We have also testified before the Washington State House and Senate on the application of game theory to public policy.
These engagements reflect a standard of scrutiny beyond typical consulting work — our models are built to hold up under academic and legislative review, not just client presentation.
ACADEMIC
Republished by Stanford Law School. Our research on predictive modeling and behavioral economics has been selected for republication by Stanford Law School.
POLICY
Published by Competition Policy International. Our analysis on innovation economics and market dynamics appears in CPI's policy research.
LEGISLATIVE
Testified before the Washington State House and Senate. We have provided direct expert testimony informing state-level policy discussions.
APPLIED AI
Outperformed Madden NFL and Sportsbook Review. Our predictive simulation produced a more accurate Super Bowl LX forecast than both platforms.
Where Predictive AI, Law and Behavioral Economics Converge
MindCast AI was formed at the intersection of legal analysis, behavioral economics, and applied artificial intelligence. Our approach reflects years of technical development in game theory modeling, refined through direct application to litigation, policy, and market strategy.
Our work has been republished by Stanford Law School and published by Competition Policy International, and we have testified before the Washington State House and Senate on matters of applied game theory and public policy. These engagements have shaped a methodology built for scrutiny, not just presentation.
Bring us your hardest decision.
We operate globally, fully virtual, around the clock. Reach us directly or send a message and we will respond promptly.