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causaLens

Low-code causal AI platform

causaLens logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Enterprise
  • Big data
  • Deep Tech
  • Analytics
  • Strategic Intelligence
  • No-Code
West Kensington, London, UK

Company mission

To radically advance human decision-making.

Top investors

Many candidates hear
back within 2 weeks

22% female employees

-12% employee growth in 12 months

Otta's take

Theo Margolius headshot

Theo Margolius

COO of Otta

causaLens want to help organisations better optimise business outcomes and their operations. Its technology is used for AI-based decision making and also to bring in more cause-and-effect nuance when arriving at outcomes. It has been identified as one of the most exciting AI startups in the UK.

Since emerging from Stealth mode in January 2021, causaLens has grown revenues tremendously, with clients including Tier1 banks, hedge funds, governments and Fortune 500 companies. It continues its mission to make AI start to understand the world as humans understand it.

It recently brought in Series A funding - which could potentially grow in size - that allows causaLens to double its team to meet the growing global demand for Causal AI while investing aggressively to maintain its competitive technology lead.

Benefits

  • Ability to publish and conference budget
  • Cycle to work scheme
  • 25 days holiday (excl. bank holidays)
  • Access to mental health support through Spill
  • Employer pension contribution match
  • Work abroad (2 weeks per annum)
  • Share option scheme

Company values

  • Kind and Inspirational
  • Trustworthy and Accountable
  • Driven and Resilient

Funding (last 2 of 3 rounds)

Jan 2022

$45m

SERIES A

Apr 2019

$4.6m

SERIES A

Total funding: $50.6m

This company has top investors

Founders

Has a PhD in Computer Science from Southampton, previously worked for Man Group and as a Quantitative Researcher at another hedge fund.

Has a PhD in Physics from the University of Illinois. Career began at a hedge fund in Princeton, where they utilised petabyte-size live algorithmic systems managing 100s of millions of USD.

Endorsements

All

Intelligent people (7)

Innovative product (5)

Challenging work (4)

Opportunities to learn (3)

Career progression (2)

Meaningful work (2)

Nice people (2)

Hard working team (2)

Team energy (2)

Tech & tools (1)

Job (1)

All locations

Software Engineering

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