causaLens

causaLens is on a mission to build truly intelligent machines that go beyond current ML approaches. Devising Causal AI has allowed us to teach machines cause & effect for the first time.

16-50 employees
  • Technology Infrastructure
  • Analytics & Business Information
  • Banking, Corporate Finance, & Investing
  • Headquarters address
    London

    About us

    causaLens is pioneering a completely new approach to time-series prediction. Its Enterprise Platform is used to transform and optimise businesses that need accurate and robust predictions – including significant businesses in finance, IoT, energy and telecoms. Almost all current machine learning approaches, including AutoML solutions, severely overfit on time-series problems and therefore fail to unlock the true potential of AI for the enterprise. causaLens was founded with the mission to devise Causal AI, which does not overfit, and so provides far more reliable and accurate predictions. The platform also includes capabilities such as autonomous data cleaning and searching, autonomous model discovery and end-to-end streaming productisation.

    causaLens is on a mission to build truly intelligent machines that go beyond current machine learning approaches - a curve-fitting exercise. Devising Causal AI has allowed us to teach machines cause and effect for the first time - a major step towards true AI.

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    causaLens is committed to promoting a diverse and inclusive environment that promotes equality of opportunity for everyone – a place where we are united in the commitment to scientific and operational excellence, that helps us to find and express ourselves and thrive to success. Our vision is to create an environment where everyone feels like the place where a mixture of race, gender, sexual orientation, religion, ethnicity, national origin, disability, age and all the other unique characteristics are celebrated.

    Our values and principles are to be:
    - Kind and Inspirational
    - Trustworthy and Accountable

    - Driven and Resilient

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