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Celonis, the global leader in Process Intelligence, today launched the Celonis Context Model (CCM) and announced it has signed a definitive agreement to acquire Ikigai Labs, a leader in AI-powered Decision Intelligence. As organizations around the world attempt to deploy Enterprise AI, they face a critical challenge: ensuring AI does not have blind spots in understanding how the business operates. Without this understanding, AI agents cannot make a real impact.
Celonis launches Celonis Context Model (CCM) providing dynamic real-time digital twin of operations for Enterprise AI.
Announces definitive agreement to acquire Ikigai Labs, leader in AI-powered Decision Intelligence with MIT roots.
Acquisition includes exclusive rights to MIT-owned patents licensed by Ikigai Labs; MIT becomes shareholder in Celonis.
CCM built on process data from every system, application, device, and interaction across the business.
Integrations with AWS, Databricks, Microsoft Fabric, Oracle, plus Amazon Bedrock, Anthropic Claude Cowork, Databricks Agent Bricks, IBM watsonx, Microsoft Copilot, and Oracle OCI.
Ikigai Labs founded on nearly two decades of MIT research; reduces planning cycles from months to minutes.
“AI is only as good as the context it has. 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,” said Carsten Thoma, Celonis President. “And 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. This is what every enterprise needs to make AI work and deliver meaningful returns.”
With the introduction of the CCM, Celonis is defining a new critical layer in the enterprise technology stack — the context layer. This layer unifies process data, business knowledge, operational and decision intelligence to ground Enterprise AI in reality and power its effective execution — continuously evolving as it learns from actions and outcomes across the business.
“Precision is paramount in the healthcare industry, and you can't accept AI that's only right most of the time,” said Jerome Revish, SVP/Chief Technology Officer, Digital and Technology Services, Cardinal Health. “We use AI as a tool to accelerate operational insight — process context enables agents to support our team in acting with precision. Defining guardrails then gives us the confidence to act. Ultimately, context is what makes the difference between AI that's impressive in a demo and AI that's trusted and safe to deploy.”
“Our goal at Cosentino is to build a digital workforce of AI agents that can run and improve our business operations at scale. What we've learned is that an agent is only as good as the context you give it,” said Rafael Domene, CIO, Cosentino. “When you provide AI with a real understanding of your processes — the data, the business rules, the decision logic — it stops being a tool you experiment with and becomes one you trust to act.”
“At Mondelez International, we're in the middle of one of the most consequential technology transformations in our history while simultaneously building the foundation for agentic AI,” said Filippo Catalano, Chief Information and Digital Officer, Mondelez International. “Operational context isn't a nice-to-have; it's the assurance for AI investments generating real value versus adding another layer of complexity.”
The acquisition will unite Ikigai Labs' world-class talent — with deep expertise in AI, machine learning, tabular and time-series modeling, causal inference, and large-scale simulation — with the global Celonis team. Ikigai Labs was founded on nearly two decades of groundbreaking MIT research, and their experts have worked with some of the world's most complex enterprises to reduce planning and forecasting cycles in areas like supply chain from months to minutes. As part of the agreement, Celonis will gain exclusive rights to MIT-owned patents, which Ikigai Labs had licensed from MIT, and MIT will become a shareholder in Celonis.
“Ikigai Labs was built on a simple but firm conviction: better enterprise decisions require AI that works with enterprise data. 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,” said Devavrat Shah, Ikigai Labs co-Founder, Chaired Professor of AI at MIT, and Chief Scientist, Enterprise AI at Celonis.
“Enterprise AI faces a reliability gap because scale isn't enough; agents need a deep understanding of how a business actually runs,” said Heather Akuiyibo, Global VP, GTM Integration, Databricks. “By combining Celonis with the Databricks platform, companies can enable their employees to chat with their data and get trusted answers instantly.”
“Celonis already sits at the operational core of thousands of the world's largest enterprises, capturing how work actually happens at unprecedented depth,” said Sandesh Patnam, Managing Partner, Premji Invest. “Layering Ikigai Labs' simulation and decision intelligence on that foundation creates a flywheel where every operational signal becomes a sharper decision.”
“This is our context graph thesis made real. Celonis has built the deepest operational understanding of how enterprises actually function,” said Ashu Garg, General Partner, Foundation Capital. “With the acquisition of Ikigai Labs, they've added the decision intelligence and simulation capabilities that make it truly effective.”
Celonis makes processes work — for people, companies, and the planet. The Celonis Platform combines process data, business knowledge, and decision intelligence to provide Enterprise AI the operational context it needs to succeed. Thousands of the world's leading companies trust Celonis and its ecosystem of global partners to industrialize AI.
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