Zatoona: Causal AI for Life Sciences

I will be presenting our AI platform which makes cutting-edge causal AI tools accessible for clinicians and scientists.

Scientific discovery and reliable decision-making require causal reasoning, not just correlations. Most data analysis stops at finding patterns, leaving critical questions unanswered. Whether you’re evaluating a treatment, optimizing a process, or trying to understand a pehnomenon, you need to know what actually causes what. Causal inference provides the tools to answer these questions rigorously.
However, applying causal inference in practice requires deep technical expertise, domain-specific knowledge, and careful tracking and validation of results. This creates a significant barrier for many researchers and analysts who need to extract reliable insights from their data but lack the resources or expertise to do so effectively.

We make cutting-edge causal inference tools accessible for clinicians and scientists via interactive guided workflows equipped with state-of-the-art causal AI tools.