Why we started causa

Too many strategic decisions are made on correlation: "X happened, then Y happened, so X must cause Y." This leads to wasted budgets, missed opportunities, and strategies that don't survive contact with reality.

We started causa to bridge the gap between academic causal inference and practical business decision-making. Our backgrounds span industry and academia, with expertise in both advanced statistical methods and commercial strategy.

Every engagement is hands-on. We don't hand over a report and disappear. We work alongside your team until the model is deployed and decisions are made.

01

Scientific rigour

We use serious methods but communicate in plain language.

02

Decisions, not dashboards

The goal is always a decision, not just a visualisation.

03

Honest uncertainty

We tell you what the data can't answer, not just what it can.

The people

Prof. Dan Franks

Prof. Dan Franks

Co-founder

Professor of data science at University of York. Former lead researcher at Improbable. PhD in computer science from University of Leeds.

Dr Jordan Hart

Dr Jordan Hart

Co-founder

PhD in applied statistics from University of Exeter. Former ML engineer at digiLab. Expert in Bayesian modelling and causal inference.