“Ikigai Labs was built on a simple but firm conviction: better enterprise decisions require AI that works with enterprise data,” says Devavrat Shah, Ikigai Labs Co-founder, Chaired Professor of AI at MIT and Chief Scientist of Enterprise AI at Celonis.
“Ikigai Labs has proven foundation model technology for structured data at scale – Celonis has encoded enterprise processes.
“Together, we provide the fullest operational representation of business reality.”
Designed to help enterprises shorten planning cycles and predict operational outcomes with higher accuracy, Ikigai’s capabilities when integrated with the CCM, helps organisations move from reactive analysis to proactive decision-making.
By modelling future scenarios, businesses will be able to anticipate disruptions coming their way and optimise processes before any issues materialise.
With the capabilities rolled into one, Celonis can now support the development of reliable AI agents grounded in both operational history and predictive intelligence.
This dual capability is central to Celonis’ vision of an AI system that understands not just what is happening in a business, but what is likely to happen next.
“With the Celonis Context Model, AI agents have the hindsight, insight and foresight to intelligently adapt – and can be trusted to deliver the expected business outcomes,” Devavrat says.
