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causaLens is the pioneer of Causal AI—a giant leap in machine intelligence.

Our story

We are on a mission to radically advance human decision making, creating a world where humans trust machines with their biggest challenges.
We are pioneering Causal AI to help humans and enterprises make better decisions with AI they can trust.

Our thesis is that today’s machine learning algorithms extract correlations from data and predict outcomes based on patterns in past data. Correlations are useful for making predictions, but they’re of little use for decisions.

Our team has experience from leading research labs, consultancies and software vendors:

  • Nationalities
  • STEM %
  • PHDs %

Our vision

We envision humans and machines partnering on the most important challenges facing our health, government and economy. We believe Causal AI is the key to unlocking this vision of the future.

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AI has profound transformative potential

AI is the most important general-purpose technology of our era, with profound transformative potential for all industries and our society. Much of this potential lies in augmenting human intelligence through human-machine partnerships, not replacing humans.

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Trustworthy AI is central to our vision

We have a vision of a world in which AI works with humans, for humanity. We envision machines reasoning about the world as humans do. And explaining their thinking to us in ways we understand. We look forward to a future in which human-machine teams work symbiotically together.

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Causal AI will unlock our vision of the future

We have an infinite vision of a continuously improving society, powered by AI and augmented human intelligence. It’s a fairer world, one in which resources are optimally allocated for the common good and healthcare outcomes are dramatically improved. We believe Causal AI is the key to unlocking this vision of the future.

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Our journey

08.03.2017 Darko & Max meet in a pub in central London to get started
15.05.2018 Judea Pearl publishes the “Book of Why”, big inspiration for our work. The book mentions “causal lens”. Our marketing metrics go off the charts
28.01.2022 $45M Series A round closed

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