
How we can bridge the AI divide with accessible AI data scientists
AI data scientists automate data processing, making advanced analytics accessible to all organizations – driving innovation, efficiency and actionable insights.
causaLens delivers AI-powered Digital Workers that enterprises can rely on and have built the first factory and operating system for creating, deploying, and governing AI-powered Digital Workers that take ownership of repetitive and complex workflows. Built on causal reasoning, causalens technology enables decisions that can be understood in the most regulated environments, and work with organisations including Johnson & Johnson, Cisco, and IPG Group to make AI dependable at scale.
AI data scientists automate data processing, making advanced analytics accessible to all organizations – driving innovation, efficiency and actionable insights.
Where genAI relies on recognizing correlations and patterns in events, causal AI is rooted in a deeper understanding of the cause and the effects behind them.
Black box approaches to AI, including large language models and other generative techniques, are unlikely to comply with regulations for many uses. Causal AI offers a solution.


