Celonis to Acquire Ikigai Labs, Launches Context Model to Power Enterprise AI

Celonis launched the Celonis Context Model (CCM), a new enterprise context layer designed to provide AI systems with a real-time operational understanding of how businesses function

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Celonis to Acquire Ikigai Labs, Launches Context Model to Power Enterprise AI

Celonis has signed a definitive agreement to acquire Ikigai Labs, a decision intelligence startup focused on AI-powered forecasting, simulation, and enterprise planning.

The acquisition will bring Ikigai Labs’ expertise in machine learning, causal inference, tabular and time-series modeling, and large-scale simulation into the Celonis platform.

Financial terms of the deal were not disclosed, though Celonis said the transaction is expected to close shortly, subject to standard closing procedures.

Founded on nearly two decades of research at Massachusetts Institute of Technology, Ikigai Labs has developed AI technologies designed to help enterprises improve planning and forecasting cycles across complex operations such as supply chains.

As part of the acquisition, Celonis will gain exclusive rights to MIT-owned patents licensed to Ikigai Labs, while MIT will become a shareholder in Celonis.

"With Ikigai Labs, we’re making our market-leading platform even stronger: extending its intelligence beyond how your business runs today to how it should — and could — run tomorrow,” said Carsten Thoma, Celonis President.

“Ikigai Labs was built on a simple but firm conviction: better enterprise decisions require AI that works with enterprise data. 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,” said Devavrat Shah, Ikigai Labs co-Founder.

Alongside the acquisition, Celonis launched the Celonis Context Model (CCM), a new enterprise context layer designed to provide AI systems with a real-time operational understanding of how businesses function. The CCM creates a dynamic digital twin of enterprise operations by combining process data, business rules, systems interactions, and operational intelligence across organisations.

“AI is only as good as the context it has. Every organisation needs to give its Enterprise AI a holistic, living model of how a business truly operates. This has never been possible until now, with the Celonis Context Model," Thoma added.

Celonis said the platform is intended to help enterprises deploy reliable AI agents capable of reasoning, decision-making, and workflow execution with greater operational accuracy. The company has integrated the CCM with major enterprise platforms including Amazon Web Services, Databricks, Microsoft, and Oracle.