Celonis SE said on May 12, 2026 that it has acquired Ikigai Labs Inc., a decision‑intelligence startup with ties to the Massachusetts Institute of Technology, positioning the deal as a strategic addition to Celonis’s software portfolio to strengthen the company’s ability to supply operational data and context to enterprise AI. The move is intended to give customers a deterministic operational foundation for AI-driven decisions, addressing a common barrier to reliable live deployments.
Celonis said it will integrate Ikigai’s technology into a new Context Model designed to act as a dynamic, real‑time digital twin of business operations. Ikigai, founded in 2019 and led by CEO and CTO Devavrat Shah (who holds an AI professorial chair at MIT), sells a generative AI platform based on "large graphical models" that processes structured, proprietary enterprise data-technology Celonis plans to fold into its operational graph.
Executives framed the acquisition as a response to practical deployment challenges for AI in businesses. Celonis President Carsten Thoma told Computer Weekly the company has spent more than two years developing the Context Model as a "holistic business graph," pointing to fragmented application landscapes and competing data lakes that complicate scalable AI rollout across complex IT environments.
Celonis says the Context Model aims to eliminate AI "blind spots" by translating process data and business knowledge from every application, system, device and interaction into an operational ground truth. Chief Product Officer Dan Brown argued that without that deterministic foundation — linking items such as invoices to shipping records — AI agents cannot be reliably trusted to make real‑time decisions.
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