“Industrialize Enterprise AI. Make Enterprise AI work.”
Celonis connects data from enterprise systems to create a dynamic, context-aware view of business processes. Companies can analyze workflows, identify causes of delays or policy violations, run simulations, and automate actions. AI capabilities such as Process Copilot, machine learning, predictions, and agent integration make process knowledge accessible through natural language and operational applications.
Celonis
Industrialize enterprise AI. Make enterprise AI work.
Location: Germany ⓘ Celonis SE, Theresienstraße 6, 80333 Munich, Germany.
An officially promoted free option designed to help you get started with the platform and for limited process mining applications. Current self-service availability may be restricted based on your account or region and should be verified in advance. Subscription Custom Celonis Subscription
Enterprise contracts are based on platform scope, data volume, applications, users, processes, and support requirements; there is no public standard price list. Other Celonis Process Intelligence Platform Data Core, process data model, process mining, analytics, action and business apps, and integrations.
Process Copilot Natural language queries, process analytics, charts, summaries, and context-aware insights.
AgentC Suite for building, connecting, orchestrating, and governing AI agents with process context.
AI API / Intelligence API Integration of Celonis process knowledge and Copilot features into external applications, communication platforms, and agent systems.
Marketplace and Business Apps Preconfigured applications and process solutions for finance, supply chain, procurement, sales, manufacturing, and other areas.
Premium and Premier Plus Support Extended support, service, and maintenance models for mission-critical installations.
Consulting and Partner Services Implementation, process modeling, data integration, consulting, and industry-specific solutions provided by Celonis and its partners.
Celonis Academy Training and certification programs for users, analysts, developers, and implementation teams.
Celonis is a platform for process mining and process intelligence. It combines transaction and master data from business systems to reconstruct how processes actually unfold. This enables companies to identify delays, loops, deviations, rule violations, and opportunities for automation that often remain hidden in individual ERP or CRM reports.
Target audience
Celonis is primarily aimed at large enterprises, larger mid-market companies, shared service organizations, consulting firms, and teams focused on process excellence, finance, procurement, supply chain, sales, service, IT, and compliance. Technical users integrate data sources and develop data models; business departments work with analytics, applications, and copilots.
Outstanding features
The Context Model links processes, objects, metrics, and business rules into a usable business context. This enables generative AI not only to formulate general responses but also to access defined process models and metrics. Process Copilot can answer questions in natural language and generate relevant tables, charts, or process views. Administrators can manage model providers or integrate their own models.
Key Areas of Application
Typical areas of application include purchase-to-pay, order-to-cash, accounts payable, accounts receivable, procurement, inventory management, production, logistics, customer service, and IT service management. Celonis is used to reduce lead times, avoid lost discounts, identify delivery issues, reduce compliance violations, and automate manual work.
Usage & Notes
Implementing Celonis begins with selecting a clear process and connecting relevant source systems. Next, events, objects, metrics, and business logic are modeled. Only once this foundation is robust can copilots, predictions, and agents be provided with reliable context. Companies should pseudonymize employee data, assign roles restrictively, and not translate AI outputs into operational actions without verification.
| Target audience | Assessment |
|---|---|
| Individuals | No – Celonis is designed for complex business processes and enterprise systems. |
| Self-employed / Freelancers | To a limited extent – relevant for specialized process mining consultants, implementation partners, and data experts. |
| SMEs | To a limited extent – technically usable, but implementation, data integration, and governance can be costly for smaller companies. |
| Large enterprises | Very well suited – core target group for global processes, ERP landscapes, automation, and transformation. |
| Process Management / Operational Excellence | Very well suited – key target group for process analysis, root cause analysis, improvement, and control. |
| Finance / Procurement / Supply Chain | Highly suitable – supports, among other things, order-to-cash, procure-to-pay, inventory, delivery, and financial processes. |
| IT and Data Teams | Highly suitable – data integration, Process Digital Twin, APIs, AI agents, and integrations with ERP and automation platforms. |
| Developers / AI Teams | Yes – AI API, AgentC, and integrations enable custom copilots, assistants, and agent-based applications. |
| Organizations with critical data protection requirements | Well-suited – EU hosting, DPAs, SCCs, TOMs, pseudonymization, and non-training without written consent are significant advantages. |
| Regulated industries | Well to very well suited – comprehensive compliance documentation and certifications; however, specific processes and data must still be evaluated on a case-by-case basis. |
Hosting & Data
1) On-prem / local hosting
Meaning: The company operates the solution on its own hardware or within its own infrastructure. In the strictest sense, not only the application runs locally, but ideally the model as well.
2) Private cloud / data center
Meaning: The solution runs in a dedicated or more clearly separated cloud environment, often with a hosting provider or hyperscaler, but in a German data center or in a particularly controlled environment.
3) EU SaaS / managed
Meaning: The provider operates the solution itself as a service. The company uses the tool as a ready-made cloud service, ideally with EU data residency.
4) Hybrid
Meaning: One part of the processing remains internal / local / in a private cloud, while another part runs in an external cloud or EU SaaS.
5) AVV / DPA
Meaning: This is the data processing agreement or Data Processing Addendum. It governs that the provider processes personal data on behalf of the customer and is bound by the customer's instructions.
6) No training
Meaning: The provider does not use your prompts, uploads, attachments, chat histories, or outputs for training or improving the general model — ideally excluded by contract.
7) Open-source / transparency path
Meaning: There is a path toward greater technical transparency and sovereignty, for example through:
- open models
- documented components
- self-hostable parts
- traceable architecture
- export / switching options
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
On-prem / local hosting: partially
The website documents the on-premise extractor and on-premise clients. These run on physical local servers or in private cloud environments but serve as a bridge to the Celonis platform. A complete local deployment of the entire platform or the model is not documented on the website.
Private Cloud / Data Center: Partially
Celonis documents the use of on-premise extractors in secure private cloud environments such as VPCs/VNets. This confirms the use of controlled subcomponents within private infrastructure, but there is no clearly documented, dedicated private cloud deployment of the entire solution.
EU SaaS / Managed: Covered
Celonis describes the platform as a cloud service and states that European customers’ data is hosted in an EU data center. For AI applications, the same region as for the Celonis platform is explicitly specified; thus, for EU hosting, this also means EU hosting.
Hybrid: covered
The website describes a hybrid approach: on-premises or private infrastructure for extractors/clients and cloud-based processing and orchestration within the Celonis platform.
AVV / DPA: Covered
The Terms & Conditions page includes a direct link to a “Data Processing Agreement.” Additionally, links are provided to TOMs, an Information Security Annex, and SCCs.
No Training: Covered
The Responsible AI page states that customer data is not used to train large language models. Fine-tuning by Celonis only takes place with the customer’s explicit consent; according to the website, AI features can also be disabled at any time.
Open Source / Transparency Path: Indirect / Not Available
No reliable open-source, open-weights, or self-hosted model path for the overall solution was found on the website. While there is documentation on integrations and local connector components, there is no clear disclosure of open model components or a comprehensive transparency/sovereignty path.
Data Processing
The website describes a predominantly cloud-based operating model for the Celonis platform. According to the documentation, customer data is processed via Microsoft and Amazon hosting; the region of the customer database generally corresponds to the customer’s location—for European customers, this means the EU. Local or private components exist in the form of on-premises extractors or on-premises clients, while orchestration and processing are largely cloud-based. According to the website, AI applications use the same hosting region as the Celonis platform.
Conclusion
For users in the EU/EEA, Celonis is, based on its own website, well documented overall and can be considered GDPR-compliant when used in the best available manner: EU hosting for European customers, a Data Protection Agreement (DPA)/Service Level Agreement (SLA), subprocessors, Trusted Third Parties (TTPs), Standard Contractual Clauses (SCCs), and statements regarding AI training are provided. However, there is no evidence of a specifically named EU server location or a complete on-premises deployment of the entire platform or the models. Therefore, the strength lies primarily in the documented EU SaaS/hybrid path, not in a purely local, complete installation.
Sources
- https://www.celonis.com/privacy-policy
- https://www.celonis.com/legal/trust-center/privacy
- https://www.celonis.com/legal/terms-and-conditions/celonis-services
- https://docs.celonis.com/en/data-security.html
- https://docs.celonis.com/en/how-do-i-set-up-an-on-premise-extractor--2401299.html
- https://docs.celonis.com/en/on-prem-clients.html
- https://www.celonis.com/de/legal/trust-center/responsible-ai
- https://docs.celonis.com/en/process-copilot.html
| On-prem / local hosting | ⚠️ |
| Private cloud / data center | ⚠️ |
| EU SaaS / Managed | ✅ |
| Hybrid | ✅ |
| DPA / AVV | ✅ |
| No training on customer data | ✅ |
| Open source / transparency path | ❓ |
On-prem / local hosting: partially
The website documents the on-premise extractor and on-premise clients. These run on physical local servers or in private cloud environments but serve as a bridge to the Celonis platform. A complete local deployment of the entire platform or the model is not documented on the website.
Private Cloud / Data Center: Partially
Celonis documents the use of on-premise extractors in secure private cloud environments such as VPCs/VNets. This confirms the use of controlled subcomponents within private infrastructure, but there is no clearly documented, dedicated private cloud deployment of the entire solution.
EU SaaS / Managed: Covered
Celonis describes the platform as a cloud service and states that European customers’ data is hosted in an EU data center. For AI applications, the same region as for the Celonis platform is explicitly specified; thus, for EU hosting, this also means EU hosting.
Hybrid: covered
The website describes a hybrid approach: on-premises or private infrastructure for extractors/clients and cloud-based processing and orchestration within the Celonis platform.
AVV / DPA: Covered
The Terms & Conditions page includes a direct link to a “Data Processing Agreement.” Additionally, links are provided to TOMs, an Information Security Annex, and SCCs.
No Training: Covered
The Responsible AI page states that customer data is not used to train large language models. Fine-tuning by Celonis only takes place with the customer’s explicit consent; according to the website, AI features can also be disabled at any time.
Open Source / Transparency Path: Indirect / Not Available
No reliable open-source, open-weights, or self-hosted model path for the overall solution was found on the website. While there is documentation on integrations and local connector components, there is no clear disclosure of open model components or a comprehensive transparency/sovereignty path.
Data Processing
The website describes a predominantly cloud-based operating model for the Celonis platform. According to the documentation, customer data is processed via Microsoft and Amazon hosting; the region of the customer database generally corresponds to the customer’s location—for European customers, this means the EU. Local or private components exist in the form of on-premises extractors or on-premises clients, while orchestration and processing are largely cloud-based. According to the website, AI applications use the same hosting region as the Celonis platform.
Conclusion
For users in the EU/EEA, Celonis is, based on its own website, well documented overall and can be considered GDPR-compliant when used in the best available manner: EU hosting for European customers, a Data Protection Agreement (DPA)/Service Level Agreement (SLA), subprocessors, Trusted Third Parties (TTPs), Standard Contractual Clauses (SCCs), and statements regarding AI training are provided. However, there is no evidence of a specifically named EU server location or a complete on-premises deployment of the entire platform or the models. Therefore, the strength lies primarily in the documented EU SaaS/hybrid path, not in a purely local, complete installation.
Sources
- https://www.celonis.com/privacy-policy
- https://www.celonis.com/legal/trust-center/privacy
- https://www.celonis.com/legal/terms-and-conditions/celonis-services
- https://docs.celonis.com/en/data-security.html
- https://docs.celonis.com/en/how-do-i-set-up-an-on-premise-extractor--2401299.html
- https://docs.celonis.com/en/on-prem-clients.html
- https://www.celonis.com/de/legal/trust-center/responsible-ai
- https://docs.celonis.com/en/process-copilot.html
Strengths & weaknesses at a glance
| Strengths | Weaknesses |
|---|---|
| • Integrates AI with real-world process and business data | • Implementation and data modeling can be time-consuming. |
| • High transparency regarding process variations, bottlenecks, and root causes | • Value depends heavily on data quality, system access, and process definition. |
| • Scalable for large data volumes and complex organizations | • Primarily designed for enterprises and larger process landscapes. |
| • Object-centric model instead of isolated case-by-case analysis | • Pricing is calculated on a case-by-case basis and is difficult to compare publicly. |
| • Natural language via Process Copilot | • No publicly documented full on-premises operation of the current core platform. |
| • Robust integration and automation capabilities | • Generative AI does not automatically deliver reliable business decisions. |
| • Administrators can select or block individual LLM providers | • Additional Celonis or third-party components may be required for comprehensive governance. |
| • BYOM for more controlled model deployment | • Process data may involve extensive employee, customer, or supplier data. |
| • DPA, SCC, TOMs, and current subprocessor documentation available. | • Model availability and data protection depend on the selected LLM configuration. |
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GDPR-compliant usage possible?
On its website, Celonis outlines several key components for GDPR-compliant use within the EU/EEA: a Privacy Notice, a linked General Terms and Conditions (GTC)/Data Processing Agreement (DPA), a linked list of subprocessors, technical and organizational measures, and statements regarding the EU region for European customer data. Regarding AI features, it is further specified that customer data is not used to train large language models and that fine-tuning is performed only with the customer’s explicit consent. This clearly demonstrates a practical approach to GDPR-compliant use within the EU/EEA.
Positive
Positive aspects include the Privacy Notice available on the website, the linked General Terms and Conditions (GTC)/Data Processing Agreement (DPA), the linked list of subprocessors, the linked Standard Contractual Clauses (SCCs) and Terms of Use (TOMs), as well as the statement that European customers’ data is generally hosted in an EU data center. For AI applications, Celonis also states that hosting takes place in the same region as the Celonis platform and that customer data is not used for training LLMs; fine-tuning is performed only with the customer’s explicit consent.
Negative
A limitation is that the website does not specify a particular member state or a specific EU data center address; it only states in general terms that European customer data is hosted in the EU. The website does not provide evidence of a complete, genuine on-premises deployment of the platform; the documented on-premises components primarily concern extractors and clients, while processing and orchestration run via cloud services. An explicit opt-out function via the UI for AI training is not described; instead, training is generally ruled out, and fine-tuning is contingent upon explicit consent.
Server Location
The website does not specify a concrete server location by country or city. It only states that Celonis uses Microsoft and Amazon hosting and that the hosting location of the customer database generally corresponds to the customer’s location; for European customers, this means a data center in the EU. For AI applications, the same region is specified as for the Celonis platform; thus, for EU hosting, the hosting is also in the EU.