ScalAttrib

Understanding the mechanisms that drive performance

ScalAttrib is a causal AI agent designed to analyze cause-and-effect relationships between economic, financial, operational, or societal variables. It goes beyond correlations to identify the truly determining factors, test their impact, and inform decisions in complex environments — whether in finance, marketing, or any other strategic function.

Identify the truly explanatory variables

Understand interactions between multiple factors

Inform decisions grounded in measurable mechanisms

Use Cases

Banking use case for transforming ESG into a performance lever: Causal analysis of financial and non-financial factors

Classical approaches treat ESG factors in isolation or through correlation. ScalAttrib models cause-and-effect relationships to understand their real impact on financial performance.

  • Test scenarios on the evolution of ESG and economic variables
  • Identify and explain the factors that truly contribute to performance
  • Optimize investment and allocation strategies

Marketing use case for understanding performance levers: Causal analysis of actions and customer behaviors

Traditional approaches rely on partial correlations. ScalAttrib identifies the true causes of performance by modeling interactions between marketing actions and behaviors.

  • Identify the channels and actions that truly contribute
  • Test budget allocation and activation scenarios
  • Optimize marketing performance in multi-lever environments
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