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Capabilities

What we model, where it applies and how the work can be inspected.

Datatricx brings four modelling capabilities to three investment domains. The Model Library makes the methods, assumptions, tests, limitations and decision outputs visible.

Capabilities Architecture

One quantitative discipline.
Three connected layers.

The architecture separates the financial problem, the investment context and the evidence. That keeps the proposition clear without reducing the depth of the underlying work.

Layer 03

Model Library

The evidence layer through which the work can be inspected and tested.

  • Asset Allocation Models
  • Portfolio Construction Models
  • Infrastructure & Project Finance Models
  • Portfolio Risk Models
  • Wealth Models
  • Private Asset Valuation Models
Explore the Model Library

Commercial Language Rule

Begin with the problem.
End with a usable decision output.

Forecasting, simulation, optimisation, scenario analysis, stress testing and validation are methods. They are selected because the decision requires them—not presented as disconnected services.

Commercial problemModelling capabilityDecision output
Can the assets meet liabilities across market regimes?
Capital Allocation and Portfolio Construction using ALM, LDI, constraints and scenario methods
Allocation ranges, portfolio weights, hedge ratios and funding resilience
How much debt can the project support?
Valuation and Risk Modelling through integrated project cash flows
Debt capacity, covenant headroom, returns and downside cases
How much liquidity and risk can the balance sheet carry?
Capital Allocation, Portfolio Construction and Risk Modelling across goals and concentrations
Spending resilience, allocation constraints and succession trade-offs

Start with the decision

Bring us the financial decision.

Tell us the question, the people who must use the output and any model or data already available. We will help identify the capability, domain and practical next step.

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Datatricx
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