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Celonis Partners with Databricks to Power Enterprise AI that Continuously Improves Business Operations

4.11.2025 12:00:00 EET | Business Wire | Press release

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Celonis, a global leader in Process Intelligence, today announced a partnership with Databricks, the Data and AI company, to provide customers with a seamless, powerful pathway to operationalize AI. The integration leverages Delta Sharing to directly connect the Celonis Process Intelligence Platform with the Databricks Data Intelligence Platform.

Delta Sharing is Databricks’ open source approach that enables customers to share live data across platforms, clouds and regions with strong security and governance. This bi-directional integration, powered by Delta Sharing, eliminates the need to move or copy data between the two platforms. It breaks down data silos, reduces data copies, limits synchronization errors, enhances security, and simplifies data governance. With data and process intelligence flowing freely between the two platforms, customers get a continuous learning loop for AI-driven operations.

Customers can use Celonis to read live data stored in Databricks and enrich it with their organization’s unique business context to create a living digital twin of their operations—the Celonis Process Intelligence Graph (PI Graph). This digital twin gives them a true view of how they operate and how to improve. Process Intelligence from the PI Graph can be fed back into Agent Bricks—Databricks’ flagship AI product, which builds production-quality AI agents optimized on an organization’s data. Moreover, insights from these models and outputs from these agents can be injected into the PI Graph to continuously optimize processes.

“We want to give customers choice when deciding how they use AI to transform their business,” said Marc Kinast, Vice President Corporate Development at Celonis. “And with this integration, we’re offering them a strong foundation for effective enterprise AI. Databricks brings its secure, governed data infrastructure and industry-leading agentic development tools and we bring our unique Process Intelligence that provides the operational context AI needs to succeed. It’s a powerful combination.”

“Enterprises want AI that truly understands their business,” said Sarah Branfman, Global Vice President, ISV and Data Partner GTM at Databricks. “By connecting Celonis’ process intelligence with the Databricks Data Intelligence Platform, we’re giving customers a direct path to build and deploy custom AI agents with Agent Bricks—grounded in their own live, governed data. It’s how organizations turn process insights into real, intelligent action.”

“To achieve operational excellence, we need to intelligently orchestrate people, agents, and systems across our entire enterprise,” said Hobson Bullman, vice president of Operations, Arm. “By combining the strengths of Celonis and Databricks, we can deploy AI in the right places, ensure it understands how our business runs, and be confident that it will make our business more effective and efficient.”

The Celonis and Databricks integration is made possible via Databricks Delta Sharing and the Celonis Data Core—Celonis’ high-performance data infrastructure.

About Celonis

Celonis makes processes work — for people, companies, and the planet. Powered by process mining and AI, the Celonis Process Intelligence Platform integrates process data and business context to create a living digital twin of business operations. We enable thousands of companies worldwide to understand how their business actually runs and, together with their partners, build intelligent solutions that transform and continuously improve the way they operate — unlocking billions in value.

Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide.

© 2025 Celonis SE. All rights reserved. Celonis and the Celonis “droplet” logo are trademarks or registered trademarks of Celonis SE in Germany and other jurisdictions. All other product and company names are trademarks or registered trademarks of their respective owners.

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