causaLens, a no-code platform to build decision making AI systems, raised USD 45 million in Series A funding led by Dorilton Ventures and Molten Ventures, with participation from Generation Ventures, IQ Capital, and GP Bullhound among others. This round values the company at USD 250 million and brings its total funding to USD 51 million.
The funds will be used to double the company’s employee base within the year.
causaLens is a British company that offers a no-code platform that leverages causal inference technology to introduce nuance and cause-and-effect reasoning into AI-based systems. The platform offers three main tools; 1) a datalake solution that can uncover relevant data based on a given use case (causaLake) 2) a no-code solution to build and deploy Causal AI models (causaLabs), and 3) a tool that provides actionable insights based on the AI models built by users (decisionsOS). The company’s “Causal AI” technology is able to learn cause-and-effect relationships, simulate interventions, and offer computer imagination that isn’t solely dependent on historical data.
<ul><li> Analyst QuickTake: The no-code AI model building and data science space has seen a large amount of funding within the last two months with companies such as Sigma Computing ( raising USD 300 million ), Pixis ( raising USD 100 million ) and most recently, Vanti Analytics ( raising USD 16 million ). Although it competes with a large number of highly funded companies in this space, causaLens differentiates itself with its offering of “Causal AI”, which enables users to add more nuance, context, and cause-and-effect reasoning to their AI models, which it claims cannot be achieved with regular predictive models that are solely based on historical data.</ul>
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