A multi-agent system with agents that analyse your portfolio, search the internet real time and surfaces non-obvious future risk scenarios, quantifies probability and impact, and recommends resilient strategies without disrupting your workflow.
Traditional risk systems measure what's already happened but struggle with foresight. AI products often add noise instead of clarity and actionable insights, and anything new requires months of integration.
Risk systems measure what's already happened but struggle with foresight
AI products often add noise instead of clarity and actionable insights
New tools require months of integration and workflow disruption
Our agent doesn't replace your current setup it sits above it, enhancing your existing workflow with forward-looking intelligence.
Discover future scenarios that traditional models miss. Our AI identifies emerging risks and opportunities before they appear in historical data.
Get a map of futures, not a single forecast. Each scenario comes with clear probability and impact metrics to inform your decisions.
Bridge PM and Risk lenses seamlessly. Understand "where alpha survives" vs "where IR or TE collapses" in the same analysis.
Go beyond measurement. Get specific recommendations for tilts, hedges, or reallocations that strengthen portfolio resilience.
Every insight is explained clearly in investor language. Transparent reasoning you can audit and trust for regulatory compliance.
Sits above your existing systems. No overhaul required. Integrates with your current tools and processes seamlessly.
Where existing tools report risk, our agent interprets it, adapts to it, and communicates it with no overhaul or disruption to your workflow.
Secure, read-only connections to your existing systems. No migration, no disruption—just enhanced intelligence layered on top.
Example: A risk team connected two internal exposure files and one market feed in under 48 hours; no engineering support required.
AI analyzes market dynamics, correlations, and emerging patterns to surface non-obvious future scenarios that traditional models miss.
Example: The engine generated 42 candidate scenarios in its first pass including a cross-asset liquidity squeeze that hadn't been considered in the client's in-house models.
Each scenario comes with clear probability and impact metrics, giving you a map of futures rather than a single forecast.
Example: For one portfolio, a 'Commodity Supply Shock' scenario was assigned a 25% probability with a projected 0.9% P&L impact over a 3-month horizon, helping the team prioritize response planning.
Go beyond measurement with specific recommendations for tilts, hedges, or reallocations that strengthen portfolio resilience—all explained in transparent, auditable language.
Example: The system suggested a moderate defensive tilt and a short-term hedge that would have reduced realized drawdown by 20 basis points in backtest.
Ready to see mi-ra in action? Try our demo or reach out for more information.
Everything you need to know about mi-ra and our pilot program