Process intelligence technology provider Celonis made two announcements this week, introducing a new enterprise AI framework called the Celonis Context Model and unveiling plans to acquire AI decision intelligence company Ikigai Labs.
Munich, Germany-based Celonis said the Context Model creates a real-time operational representation of enterprise processes by combining process data, business rules, system interactions, and operational intelligence into what it describes as a digital twin of business operations.
Enterprise AI initiatives sometimes struggle to scale because AI agents lack sufficient operational context to make reliable decisions or execute workflows consistently across complex organizations. Celonis said its new platform addresses that issue by grounding AI systems in live operational data drawn from enterprise systems and workflows.
The planned acquisition of Ikigai Labs adds forecasting, simulation, and planning capabilities to the platform. Ikigai Labs, founded from research conducted at MIT, specializes in AI models for structured enterprise data and time-series analysis. Celonis said the acquisition will also provide access to MIT-licensed patents previously held by Ikigai Labs.
“AI is only as good as the context it has,” said Carsten Thoma, president of Celonis. “Every organization 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.”
Financial terms of the agreement were not disclosed.
The announcement also reflects a growing emphasis among enterprise automation vendors on orchestration layers that connect AI agents with ERP, CRM, analytics, and workflow systems. Celonis said its platform integrates with services and infrastructure providers including AWS, Databricks, Microsoft, Oracle, Anthropic, and IBM.