The world's leading Process Intelligence platform fueled by Object-Centric Process Mining and AI.
Celonis is the definitive market leader in Process Intelligence, leveraging its proprietary Object-Centric Process Mining (OCPM) to provide a unified digital twin of an organization's operations. Unlike traditional process mining that views processes in isolation, Celonis 2026 utilizes the 'Process Intelligence Graph' to interconnect data across departments, revealing how cross-functional dependencies impact overall performance. Technically, it functions by extracting event logs from ERP, CRM, and SCM systems, transforming this raw data into a real-time visualization of process flows. Its 2026 positioning focuses heavily on its 'Process AI' layer, which combines LLMs with deep process context to provide prescriptive recommendations rather than just descriptive analytics. The architecture is designed for massive scale, handling billions of events across complex global supply chains. By integrating with execution tools, it moves beyond observation into automated remediation, allowing businesses to capture value by reducing working capital, improving customer experience, and ensuring regulatory compliance through continuous monitoring.
A multi-dimensional data model that allows users to analyze processes from the perspective of multiple objects (e.g., Order, Invoice, Item) simultaneously.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A systemic representation of an organization's objects, their relationships, and the processes that connect them.
A 3D visualization tool that allows users to explore complex, multi-layered process data in an immersive environment.
A real-time monitoring engine that detects process inefficiencies and triggers automated workflows or human alerts.
A purpose-built query language for process-related calculations and pattern matching.
A centralized hub for tracking business outcomes and the financial impact of process improvements.
Combines system-level log data with user-level desktop interaction data (clicks, scrolls).
Late payments resulting in lost cash discounts and strained vendor relationships.
Registry Updated:2/7/2026
Bottlenecks in the credit check and shipping phases causing delivery delays.
Inventory stockouts due to inaccurate lead time data in ERP.