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ConstructionGameTheory

Predict construction project outcomes using
Game Theory + Systems Dynamics + Machine Learning

Model stakeholder behaviour, compute Nash Equilibria, score contract risk,
and generate board-ready outcome predictions — all in the browser.

10+
Prediction Dimensions
15+
Historical ML Projects
100%
Client-Side & Private
NEC4
JCT · FIDIC Support
Core Capabilities

Everything you need to predict project outcomes

A complete analytical toolkit built on rigorous mathematical frameworks, designed for construction professionals and contract strategists.

Game Theory Engine

Model owner–contractor strategic interactions using 2×2 payoff matrices. Automatically computes Nash Equilibria, detects Prisoner's Dilemma situations, and identifies Pareto-optimal outcomes for every scenario.

AI Predictions

Rule-based and ML-blended prediction engine scores Cost Risk, Time Risk, Cooperation Likelihood, Alignment Stability, and Dispute Probability — each with full formula transparency and explainability.

ML Engine (kNN)

A k-Nearest Neighbour model trained on historical projects. Represents your project as a 10-dimensional feature vector, finds similar past projects, and blends ML predictions with rule-based scores as data grows.

Contract Analysis

Upload NEC4, JCT, or FIDIC contract documents. The clause risk parser pattern-matches against 10+ clause types — payment terms, LDs, EOT, retention, force majeure — and scores each for risk exposure.

BIM Viewer

Upload IFC files for real-time BIM model inspection. The WebAssembly-powered viewer supports Architectural, Structural, MEP, and Federated models with a collapsible spatial hierarchy tree and model management.

Risk Register

Log and score risks across Commercial, Contractual, Technical, Environmental, and Programme categories. Probability × Impact scoring with colour-coded risk heat levels and AI-assisted auto-generation.

Stakeholder Mapping

Add all project parties and score each for Cooperation, Opportunism Risk, and Dispute Risk. A dynamic Power/Interest matrix visualises stakeholder positioning and helps identify alignment gaps early.

Workshop Mode

Facilitate live consensus-building sessions. Participants score assumptions and risk factors independently; the app aggregates results into a shared view, surfacing hidden disagreements before they become disputes.

Board-Ready Reports

Export a full executive report covering game theory analysis, prediction scores, risk register, stakeholder map, and scenario comparison — formatted for printing or PDF distribution to leadership teams.

From setup to prediction in minutes

A structured five-step process that guides you from project configuration to actionable game-theory insights.

01

Configure Your Project

Enter contract type, value, payment terms, complexity, and programme parameters. Each field directly influences prediction weights.

02

Map Stakeholders

Add all parties and score cooperation, opportunism, and dispute risk. Watch the Power/Interest matrix update live.

03

Build Assumptions Register

Record project assumptions with confidence and impact ratings. Low-confidence assumptions reduce prediction score.

04

Run Scenario Modeller

Create multiple contract scenarios. The engine computes Nash Equilibria and Pareto frontiers and flags the best cooperative outcome.

05

Export & Present

Generate a board-ready PDF report with full prediction breakdown, risk register, and game-theory commentary.

Powered by Game Theory (Nash / Pareto) kNN Machine Learning web-ifc (IFC / BIM) PDF.js Chart.js 100% Client-Side
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Ready to predict your project outcome?

Load the sample project to explore all features, or start fresh with your own contract.

Launch ConstructionGameTheory