Uncertainty becomes a decision.

RiskQuant computes up to 100'000 scenarios from your risk register, aggregates them into a loss distribution and sets them against your company's risk-bearing capacity.

Cyber incident Lognormal Key personnel PERT Technology failure Gamma Currency risk Triangular
Aggregated loss distribution, copula correlated n = 0
Expected loss
CHF0
Rare year (P95)
CHF0
Risk-bearing capacity
CHF9'004'940
Capacity used
0%

Trusted by leading organisations

Why now

From estimates to evidence

In Switzerland and across Europe, the expectations of risk management are shifting: away from isolated assessments, towards a connected picture that captures dependencies and aggregated exposure.

Your existing assessments already carry the expertise. You only need the engine that turns frequency and severity into a robust number, and the translation that shapes it into a board decision.

That is exactly what RiskQuant is: production-ready quantification plus a board reporting that answers the right question.

From low, medium, high to a range

Instead of three levels, the full span of possible outcomes, each risk with its matching distribution.

LognormalGammaPERTTriangularWeibull

Dependencies instead of single risks

Copula-based correlation shows what happens when several losses arrive at the same time.

CopulaCorrelation matrixStress

No new model, no double maintenance

RiskQuant computes with the data that is already in your risk register.

up to 100k in < 500msVaRCVaR
What sets RiskQuant apart

Board Risk Reporting: a number becomes a decision

A board decides on budget, reserves, insurance and on which residual risk it consciously bears. RiskQuant translates the simulation into exactly that language. Five views, one continuous run.

Overview . Management Summary

One statement in two sentences, not a chart

The board page leads with a clear statement instead of a histogram: expected loss CHF 3.38M, in 95 percent of scenarios below CHF 6.19M, in the worst one percent above CHF 7.61M. The statistics are there, but they do not force themselves on you.

Directly below it, the board's three levers as Insights for the Board: reserve, insurance and consciously borne residual risk, each with a concrete franc amount.
RiskQuant . Overview
RiskQuant Overview with Management Summary and Risk Exposure
Solvency & Capacity

Risk against capacity

Aggregated risk against risk-bearing capacity, with a concrete franc amount instead of a traffic-light colour. The aggregated risk uses 69 percent of capacity, headroom CHF 2'814'940. The position lies clearly within capacity, the probability of insolvency below 1 percent (around 1 in 417 years).

The real message for the board is the trend: the value at risk is rising. Bearable today, worth watching tomorrow.

RiskQuant . Solvency & Capacity
RiskQuant Solvency and Capacity, risk against capacity over time
Risk Drivers

Three risks drive two thirds

Not every risk carries the same weight. The simulation shows where the expected loss really comes from, sorted by contribution. The three largest drivers together account for 68 percent. This is exactly where the board's attention turns first.

  • Technology failure, around 23 percent
  • Loss of key personnel, around 23 percent
  • Cyber incident, around 22 percent
  • Tail risk and mitigation visible per driver
RiskQuant . Risk Drivers
RiskQuant Risk Drivers, concentration and top drivers by contribution
Dependency Network

Risks do not move alone

Losses rarely occur in isolation. RiskQuant models, copula-based, which risks move together and which move in opposite directions. Single assessments become a connected picture, the foundation of every robust aggregation.

RiskQuant . Dependency Network
RiskQuant Dependency Network, connections between risks
Decision Log

The decision is part of the report

Resolution, rationale and the derived measures are recorded directly on the same run. In the example accepted within risk appetite, with a measure and a deadline, next review in the following quarter. On the next run you see not only the new numbers, but also what was last decided and whether it worked.

This turns reporting into a traceable, auditable governance trail.
RiskQuant . Decision Log
RiskQuant Decision Log with resolution, rationale and measures
Quantitative core

Built for enterprise risk quantification

Everything it takes to move from qualitative assessments to production-ready Monte Carlo simulation. Powerful behind the scenes, clear and traceable in the board reporting. The same engine also feeds the drivers back into your familiar Risk Landscape, the heatmap as a reality check.

15+ distributions

Normal, Lognormal, PERT, Gamma, Weibull, Triangular, Poisson and more, including compound distributions for frequency and severity.

Dependency patterns

Model whether risks stay independent, move together under stress, or arrive simultaneously in severe scenarios.

up to 100k simulations in < 500ms

Vectorised engine, built for speed. Full portfolio simulations in real time, not as an overnight batch.

Stress test

See which risks drive extreme scenarios. Contribution analyses beyond a freely selectable stress threshold.

Expected Value, VaR and CVaR

Expected loss, Value at Risk and Conditional VaR, translated into reserve, transfer and consciously borne residual risk.

Auditable trail

Every run, every assumption and every resolution stays traceable. Governance where decisions are made.

Quantitative engine from our partner
Contact and demo

Talk to our risk team

Show us your risk register, and we will show you how RiskQuant turns it into a decision basis for your board. Live, on your assumptions.

  • Personal, tailored to your risk register
  • Insight into simulation, capacity and board reporting
  • Answers from experts, not a sales pitch
Prefer to talk directly? Book a Discovery Call or sales@swissgrc.com
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We will get back to you within one business day.