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About causaLens

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causaLens provides a signal testing technology, which uses automated machine learning to build predictive models at scale and shorten that time taken for data source evaluation.

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Founded

2016

Company history

The Co-Founders, Darko and Max have always been fascinated by complex systems. Determining cause and effect in a complex system is an unsolved scientific challenge with huge economic potential. Perhaps unsurprisingly we had both started our careers at top hedge funds looking for the answer. One thing was clear to both of us: no one knew the answer, not even close. The World is too complex for a single human to understand it and existing technologies are unable to understand causality. The idea of causaLens was born - a machine that can see cause and effect in complex systems. An AI that understands the World. Dr. Darko Matovski is the CEO of causaLens. The company is leading Causal AI research, a way for machines to understand cause & effect, and serves some of the most sophisticated organisations. Darko has also worked for cutting edge hedge funds and research institutions. For example, the National Physical Laboratory in London (where Alan Turing worked) and Man Group in London. Darko has a PhD in Machine Learning and an MBA. Dr. Maksim Sipos began his career at a hedge fund company in Princeton, where he utilised petabyte-size live algorithmic systems managing 100s of millions of USD. He also executed data science initiatives as a consultant at European and Silicon Valley startup companies. As the CTO of causaLens, he is leading the technology team to build a cutting edge, autonomous, real-time system that builds predictive models on time-series data. Maksim is an award winning teacher and communicator, and has more than 250 academic citations. He holds a bachelor degree in Mathematics and Physics and a PHD in Theoretical Statistical Physics from the University of Illinois Urbana-Champaign, USA.

Office locations

London

Number of employees

Sources of funding

Series A led by IQ Capital, a top deeptech VC

Contact name

John Smith

Contact role

Analyst