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

The Problem

Investment teams face a structural limitation:

  • ESG treated as an exogenous factor
  • Difficulty linking ESG to financial performance
  • Insufficient linear models
  • Complex, heterogeneous, underutilized data

Result:

  • A partial view
  • Limited anticipation capability
  • Little differentiation in strategies

The Solution

ScalAttrib enables you to build causal AI models tailored to your environment.

The Projector™ platform is configured to:

  • Integrate your ESG, macro, and internal data
  • Model complex non-linear relationships
  • Test combinations of factors
  • Incorporate business expertise into models

Each model is:

  • Explainable
  • Interpretable
  • Steerable by your teams

What You Can Do

With ScalAttrib, you can:

  • Understand the real impact of ESG factors
  • Test economic and environmental scenarios
  • Improve your allocation models
  • Strengthen your risk management
  • Identify unexploited sources of alpha

Results

The models developed enable:

  • Better performance than classical linear models
  • Greater robustness against market variations
  • More structured decision-making

Above all:

  • You build your own tools
  • Adapted to your organization
  • Aligned with your governance

Unlike Traditional Approaches

  • You don’t undergo models → you build them
  • You don’t correlate → you understand the causes
  • You don’t standardize → you adapt to your strategy

Frequently Asked Questions

Causal performance attribution
ScalAttrib identifies the variables that truly drive performance — going beyond correlations to explain which factors caused returns, underperformance, or risk exposure.
Built on the Projector™ platform
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ESG integration and regulatory explainability
Model the causal impact of ESG factors on financial outcomes. Produce explainable, auditable reports that meet regulatory standards and support investment governance.
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