causaLens Launches the first Operating System for Decision-Making – Powered by Causal AI

Bringing causal understanding to improve decisions across the enterprise

causaLens, the London deep tech company and pioneer of Causal AI, announced the launch of decisionOS, the first operating system using cause-and-effect reasoning for all aspects of an enterprise’s decision-making.

Causal AI is the technology that identifies the underlying web of causes, to provide critical decision-making insights that current machine learning fails to deliver. The technology is gaining momentum rapidly, with ‘big tech’ companies such as Microsoft, Amazon, Google, Meta, Spotify, Netflix and Uber who are investing heavily in the development of Causal AI, and it was recently featured in various Gartner hype cycles.

decisionOS optimises business decisions by embedding Causal AI models into decision workflows at any level of an organisation. Now enterprise users in all industry sectors will be able to go beyond relying on past patterns and correlations to make predictions, instead understanding cause and effect relationships to generate actionable insights that factor in business objectives and resource constraints. For example, retailers can use the recommendations and insights provided by decisionOS to decide on the best pricing for individual products, across specific locations, while considering the prevailing business environment.

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“Understanding the causal drivers behind demand is critical. decisionOS enhances our supply chain visibility and enhances our domain experts’ ability to run powerful what-if analyses.”

Serving as a unique one-stop system, decisionOS can integrate all an enterprise’s decision workflows, such as product pricing and promotion; customer acquisition, retention and marketing spend optimization; optimising manufacturing processes; supply chain risk management, demand forecasting as well as inventory and order management; among many others.

Darko Matovski, causaLens CEO, said:

“All decisions in the enterprise require a causal understanding. The best decisions are made when domain experts’ knowledge is combined with AI that truly understands cause-and-effect, and reasons like humans do. decisionOS makes it possible to evaluate different scenarios and design optimal actions for your business while providing full transparency of the decision-making process.”

decisionOS enables data scientists to build powerful Causal AI models and use its application building framework to create customised full stack decision-making applications for business stakeholders. decisionOS also provides capabilities to operationalize decision workflows and integrate with other enterprise systems.

Takashi Hiramatsu, Senior Manager, Murata said:

“Understanding the causal drivers behind demand is critical. decisionOS enhances our supply chain visibility and enhances our domain experts’ ability to run powerful what-if analyses.”

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