Risk Management Prototypes
Working demonstrations of advanced risk management concepts, ready for customisation and deployment.
From Theory to Working Tools
These prototypes embody our research into advanced risk management approaches. Each represents a functional implementation that organisations can deploy, test, and adapt to their specific needs.
Each prototype is a working application, not a concept. Deploy immediately or customise for your specific risk environment.
Built with modern web technologies and open standards, enabling integration with existing systems and ongoing development.
Designed for experimentation and discovery. Use these tools to understand how advanced methods apply to your risk challenges.
Current Prototypes
A browser-based application designed to make Monte Carlo simulations accessible to risk professionals without extensive technical backgrounds. Visualise uncertainty, model complex scenarios, and gain valuable insights - all from your web browser.
This Monte Carlo simulation tool is tailored for users familiar with risk assessment but who may not have deep expertise in probabilistic modelling. By operating directly within a web browser, the application removes the need for specialised software, allowing users to conduct simulations and visualise results with ease.
Interactive visualisation with enhanced filtering capabilities demonstrating how risks cascade across entity types and relationship patterns. Click on nodes or edges to explore connections and uncover hidden interdependencies.
RING applies Graph Neural Networks to a dynamically constructed knowledge graph derived from external signals. The approach uncovers non-obvious interdependencies and predicts potential cascading failures in ways that traditional risk management systems cannot.
Comprehensive assessment tools for measuring and enhancing organisational antifragility. Move beyond resilience to build systems that actually improve through exposure to volatility, stressors, and disorder.
Assessment Options:
- Focused Antifragility Scorecard for business dimensions
- Enterprise Assessment across foundational capabilities
- Interactive dashboards with detailed recommendations
- Sector-specific antifragility benchmarking
A user-friendly application that combines artificial intelligence with Bayesian network analysis. Generate network structures from textual descriptions of risks, visualise complex probabilistic relationships, and perform sophisticated inference.
Key Capabilities:
- Generate Bayesian Networks from natural language descriptions
- Interactive visualisation of probabilistic relationships
- Perform inference by providing evidence for specific scenarios
- AI-generated interpretations of inference results
Interactive dashboard implementing Bayesian networks with Markov Chain Monte Carlo simulation for complex risk assessment scenarios. Move beyond traditional risk matrices to explore probabilistic relationships and scenario dependencies.
This prototype demonstrates how MCMC methods can transform risk assessment from static matrices to dynamic, interactive exploration tools that reveal hidden relationships and conditional dependencies.
Technical Foundation
Frontend Architecture
React, TypeScript, D3.js for responsive, interactive interfaces
Computational Engine
WebAssembly for high-performance statistical computation in the browser
Cloud Integration
Google Cloud Platform for AI services, data processing, and scalable deployment
Probabilistic Methods
Bayesian networks, MCMC simulation, and uncertainty quantification
AI Integration
Large language models for natural language processing and interpretation
Graph Analytics
Graph Neural Networks for complex relationship analysis and prediction
Implementation Pathways
Deploy a single prototype in your organisation to explore how advanced risk methods apply to your specific challenges.
- • 2-4 week setup timeline
- • User training and support
- • Customisation for your data
- • Regular feedback sessions
Work with us to enhance prototypes with features specific to your industry, risk environment, or analytical requirements.
- • Collaborative development process
- • Domain-specific enhancements
- • Integration with existing systems
- • Ongoing technical support
Partner with us to validate and enhance these prototypes through real-world application and shared research insights.
- • Joint research initiatives
- • Shared intellectual property
- • Publication opportunities
- • Community contribution
Ready to Explore Advanced Risk Methods?
These prototypes represent new approaches to understanding and managing risk. Start your journey from traditional methods to sophisticated risk intelligence.
Why Start with Prototypes?
Immediate Understanding
See working examples rather than theoretical descriptions.
Low Risk Exploration
Test advanced methods without major system changes.
Collaborative Learning
Discover applications through hands-on experimentation.
Informed Investment
Make deployment decisions based on real experience.