Our approach begins with a discovery phase, where our team works side-by-side with you to map out every data source and business function for your organization. We’ll identify key variables, from reports to metrics to process logs, and define how they interrelate across your organization. This structured system analysis ensures we capture the full scope of your operations, laying the groundwork for the causal engine to ingest, and fuse disparate data sources.

We are actively developing our causal engine (CIFA) to lay the groundwork for advanced causal inference and reasoning. We aim to move beyond surface-level correlations to uncover true cause-and-effect relationships. This would let you trace how one process and inputs may impact another process and their inputs. We make these insights intuitively accessible, so both business leaders and technical teams can explore scenarios and drive proactive decisions.