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causaLens

CausaLens is a deep-tech company pioneering Causal AI, a new category of machine intelligence that understands cause and effect to help businesses make better, more reliable decisions.

Discussion
aidata-analyticsenterprise-softwarehealth-techretail

Company facts

Founded
2017
Headquarters
United Kingdom
CEO
Darko Matovski, Maksim Sipos

About

At CausaLens, we are on a mission to radically advance decision-making by creating fully autonomous Digital Workers. We believe that to build truly intelligent machines, we must teach them to understand cause and effect, a necessary step toward achieving true AI. For too long, businesses have invested in traditional machine learning that simply fits curves to data without a genuine understanding of the real world, effectively driving forward by looking in the rearview mirror. We're pioneering a new category of machine intelligence, Causal AI, to move beyond simple correlations and uncover the 'why' behind events. Our platform is engineered to harness an understanding of cause-and-effect relationships to directly optimize the business KPIs that matter most to our clients. We're not just building tools; we're engineering a new paradigm for working with data. Our platform, decisionOS, and our Autonomous AI Agents empower teams to act faster, scale smarter, and make better decisions. These 'Digital Workers' can autonomously solve end-to-end analytics and data science problems, from data preparation to deploying interactive applications. This makes AI-powered data science trustworthy and accessible to everyone, from data scientists and analysts to business leaders. We enable teams to collaborate in a multi-agent environment, ensuring human oversight across the entire workflow. We're proud to power industry leaders across finance, retail, healthcare, manufacturing, and more, helping them accelerate and scale their data science capabilities. As a team of world-class scientists and engineers, backed by leading investors, we are relentlessly pushing the boundaries of what's possible, creating a world where humans can trust machines with the greatest challenges in the economy, society, and healthcare.

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