Celonis
by Celonis · Process Mining
Process mining and execution management platform giving AI real-time operational context.
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Works with
SAPSAP S/4HANA
Oracle- Deployment
- Cloud
- Company size
- Enterprise
- Pricing
- Free plan + quote-based subscription
- Founded
- 2011
- Headquarters
- Munich, Germany (also New York, US)
Overview
Celonis is a process mining and execution management platform, founded in 2011 as a spin-off from the Technical University of Munich by Alex Rinke, Bastian Nominacher, and Martin Klenk. The company is headquartered in Munich, Germany, with a second headquarters in New York, and reports more than 3,000 employees across offices in Munich, New York, Madrid, and 14 other locations worldwide. Celonis is privately held, backed by investors including Durable, T. Rowe Price, Franklin Templeton Investments, Arena, the Qatar Investment Authority, Accel, and 83North, and reached a roughly $13 billion valuation following a 2022 Series D extension. The company states that more than 1,400 companies use the platform.
The Celonis Platform is built around three layers: Data Core, a data-extraction and query engine with more than 100 pre-built extractors for on-prem and cloud ERPs, CRMs, and data warehouses, plus real-time streaming via Apache Kafka and zero-copy bi-directional lakehouse integrations; the Context Model, a real-time, system-agnostic digital twin of a company's operations that combines process execution data with business knowledge; and a Build Experience covering Analyze, Design, and Operate capabilities. Analysis tools include Process Explorer, Process Adherence Manager, and Insight Explorer; design tools include Process Designer and Process Navigator; operational tools include the Orchestration Engine and Action Flows, a low-code automation layer the company says connects to more than 2,000 apps and systems. Task Mining captures desktop-level activity to extend process mining beyond system logs.
Celonis documents dedicated extractors for SAP ECC and SAP S/4HANA, and lists Oracle among the enterprise systems of record its platform connects to, alongside marketplace Process Connectors for common processes such as order-to-cash and purchase-to-pay. A free plan is available to evaluate the platform; production use that connects directly to enterprise systems is priced on a quote basis scoped to data volume, connectors, and users.
Screenshots & demo
Demo video from the vendor's YouTube channel.
Features & capabilities
Data Core & Connectivity
Extraction, harmonization, and query layer feeding the platform.
- 100+ pre-built extractors for on-prem and cloud ERPs, CRMs and data warehouses
- Dedicated SAP ECC and SAP S/4HANA extractors
- Real-time streaming via Apache Kafka
- Zero-copy bi-directional lakehouse integrations
- Data harmonization, cleansing and deduplication tooling
- High-performance query engine built for billions of records
- Task Mining / AI-driven task discovery for desktop-level activity
Process Analysis
Understanding how processes actually run today.
- Process Explorer for end-to-end process visualization
- Process Adherence Manager for conformance monitoring against modeled processes
- Insight Explorer for AI-driven pattern and KPI-fluctuation detection
- Studio Views for custom analytical and operational dashboards/apps
- Transformation Hub for tracking value generated and value opportunities
- Process simulations and what-if scenario analysis
Process Design
Redesigning the target state of operations.
- Process Designer for modeling to-be process states
- Generative-AI-assisted process modeling
- Process Navigator, a portal for process journeys embedded in tools like Microsoft Teams
- Definition of workflow guardrails, outcomes and AI-insertion points
Process Operations & Automation
Running and continuously improving processes.
- Orchestration Engine coordinating AI agents, people and systems
- Action Flows: low-code/no-code automation reported to connect to 2,000+ apps/systems
- Automated alerts and triggered third-party automations
- Continuous monitoring of process performance and adherence
Context Model (Enterprise AI foundation)
The digital-twin layer that grounds AI in real operations.
- Real-time, system-agnostic digital twin of business operations
- Business-knowledge layer capturing goals, policies and guardrails
- Process Intelligence and Decision Intelligence (root cause, prediction, simulation)
- Open, extensible architecture for integrating additional AI models and agents
Common use cases
- Mapping order-to-cash or purchase-to-pay processes running across SAP ECC/S/4HANA to find bottlenecks and non-compliant variants
- Monitoring process adherence against a modeled to-be process and root-causing deviations
- Automating repetitive process steps and alerts via Action Flows connected to existing ERP, CRM and automation tools
- Building a real-time digital twin of operations to give AI agents accurate business context before deployment
- Running finance shared-services initiatives such as cash and revenue-leakage reduction
- Supporting IT modernization projects, including SAP S/4HANA migrations, with visibility into how processes actually run before redesign
- Coordinating AI agents alongside human workers and existing systems via the Orchestration Engine
Strengths & considerations
Strengths
- Positions its Context Model as a continuously-updating, system-agnostic digital twin aimed specifically at giving enterprise AI agents operational context, rather than a static process map
- Broad extractor and connector library (100+ pre-built extractors, including dedicated SAP ECC/S/4HANA extractors) plus Action Flows automation reported to cover 2,000+ apps
- Combines process mining (system-log based) with Task Mining (desktop-level activity capture) to cover both digital and manual process steps
- Data engine designed to query billions of records at enterprise transaction volumes
ERP integrations
Dedicated SAP ECC extractor with Order-to-Cash and Purchase-to-Pay Marketplace Process Connectors; Celonis reports 600+ teams using its SAP extractor
Dedicated S/4HANA extractor documented alongside the SAP ECC extractor for process-data extraction
Listed as a connected system of record in Celonis's documented integration/marketplace ecosystem
Pricing
Celonis offers a free plan for evaluation and proof-of-concept use; production use with direct enterprise-system connections and scaled data volume is priced on a quote basis. Get an independent shortlist with pricing guidance below.
Technical & security
- Hosting
- Cloud (SaaS)
About the vendor
- Founded
- 2011
- Headquarters
- Munich, Germany (also New York, US)
- Employees
- 3,000+
- Ownership
- Private (backed by Durable, T. Rowe Price, Franklin Templeton Investments, Arena, Qatar Investment Authority, Accel and 83North)
Alternatives to Celonis in Process Mining
Celonis — frequently asked questions
Does Celonis integrate with SAP?
Yes. Celonis provides dedicated extractors for SAP ECC and SAP S/4HANA plus marketplace Process Connectors such as Order-to-Cash and Purchase-to-Pay, and reports more than 600 teams using its SAP extractor.
Is there a free version of Celonis?
Celonis offers a free plan for getting started with the platform. Production use that connects directly to enterprise systems, scales data volume, or supports ongoing operations is priced on a quote basis.
What is the Celonis Context Model?
The Context Model (CCM) is Celonis's real-time, system-agnostic digital twin of a company's operations, combining process execution data with business knowledge so people and AI agents can reason about how operations actually run.
Who owns Celonis?
Celonis is a privately held company headquartered in Munich, Germany and New York, backed by investors including Durable, T. Rowe Price, Franklin Templeton Investments, Arena, Qatar Investment Authority, Accel, and 83North. It was valued at roughly $13 billion following a 2022 Series D extension.
What does the Celonis Data Core do?
Data Core is Celonis's data-extraction and query layer. It provides more than 100 pre-built extractors for on-prem and cloud ERPs, CRMs and data warehouses, real-time streaming via Apache Kafka, and a query engine built to handle billions of records.
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