Semantic Analysis Creates Models of Reality

Reality is not created by data points, but by contexts of meaning.

Analyses at evAI are not static, one-off studies. We use analysis not as a one-time measurement, but as the recognition of structured relationships, thanks to semantic analysis. Our reality models are representations of real market processes and arise from semantic analysis and consideration of small data information objects. Our models, which represent reality, describe not only what is – but also how and why it works.

evAI Market Model

Reality Models: Semantic Analysis as a structure provider of systems

Our models depict spaces: political, thematic, and geographical. In these spaces, we recognize:

• Which actors are linked

• Which narratives dominate

• Which terms are strategically charged

• Where risks, interests, mental blocks, or creative potential lie

We use language to mirror decision-making logic in observable, public datasets. This creates contextual representations of markets and systems that are not only descriptive but also structuring and predictive.

Reality Models: Small Data as an Early Warning System

Our models can also reveal topics and signals for which there is little data. These "small data objects" are often particularly relevant. With them, we observe:

• Growth dynamics

• Potential for conflict

• Innovation movements

• Discursive breaks or trends that are not yet reflected in the statistics

  
  

Small data enriches models with meaningful metrics that are lost in traditional analyses. It's not about size, but about relevance.

Reality models: The Semantic Sensor Network

A dynamic semantic sensor network can be built from the analyzed information. It is based on information objects with future-changing potential. These "sensors" can be activated and monitored over time via dashboards:

For example, if language patterns around water availability shift before shortages become measurable, our system reacts. The semantic shift indicates that normality is beginning to falter.

Metrics in Reality Models

Our models reveal structures that can be measured, compared, and interpreted. Some key metrics include:

Strategic topics & perception

• Market topics

• Topic leadership (agenda setting, benchmark)

• External image & self-image

• Positioning gaps

Market presence & visibility

• Market dominance (visibility)

• Regional market dominance

• Brand affinities

• Social milieus

Development dynamics & innovation

• Market adaptation (e.g. innovation life cycle)

• Market readiness

• Emerging Market Evaluation

Power, influence & structure

• Lobbying structures

• Influence networks (semantically reconstructable)

Reality Models As A Strategic Basis

Reality Models at evAI are not snapshots. They accompany markets over time and show not only what was or is, but also where reality could change. They help provide orientation, not through forecasts, but through an understanding of structures.

We don't build dashboards. We create spaces of meaning.