Correlations, probability and multi-signal analysis are not new. What has changed is our ability to apply them to enormous volumes of fragmented business information.
For years, the limiting factor was not the absence of potentially useful data. It was the difficulty of capturing, organizing and interpreting that data at sufficient scale.
Modern data infrastructure, automation and large language models have changed that equation. Information that once existed across millions of disconnected records can increasingly be structured in ways machines can interpret, compare and evaluate.
Signum Logics applies those capabilities to a practical commercial question: can changes in the way a business is operating reveal an opportunity before that opportunity becomes obvious through conventional sales or financing data?