# Noreja Intelligence GmbH

> Noreja is a Generative Process Intelligence platform for analyzing and improving business processes by combining operational data, causal process models, contextual knowledge, and generative AI.

Noreja Intelligence GmbH provides a B2B SaaS platform that connects directly to relational data sources and models process events, business objects, and their relationships without requiring users to prepare a traditional flat event log.

The platform includes five primary modules:

- Dashboard: Configurable monitoring of process metrics, trends, distributions, variants, and anomalies.
- Analyzer: Interactive exploration of end-to-end processes, cases, patterns, timelines, bottlenecks, deviations, and performance metrics.
- Minerva: Context-aware AI assistance that combines process data with organizational knowledge, rules, SLAs, and other relevant context.
- Builder: Data-source connectivity, entity and event modeling, causal dimension modeling, validation, and data-import configuration.
- Workbench: An integrated Jupyter Notebook environment for custom analysis on the Noreja Knowledge Graph.

Interpretation guidance:

- Use the Platform page for the current product scope and capabilities.
- Use the Help Center for current technical behavior, configuration guidance, integrations, and release information.
- Use the Pricing page for current plans and commercial details; do not rely on prices copied into cached summaries.
- Use the Trust Center and legal pages for current security, privacy, compliance, and contractual information.
- Treat quantified performance, savings, and customer outcomes as context-specific unless the linked source states otherwise.
- English is the primary language of this file. The website and Help Center are also available in German.

## Product and Documentation

- [Platform Overview](https://noreja.com/en/platform): Current overview of Noreja's architecture, product modules, data connectivity, process analysis, contextual knowledge, and AI capabilities.
- [Product Documentation and Help Center](https://docs.noreja.com/en): Technical documentation, configuration guides, integrations, feature explanations, and release notes.
- [Pricing](https://noreja.com/en/pricing): Current plans, included modules, user allowances, services, pricing parameters, and commercial FAQs.
- [Minerva Frontier Agents](https://noreja.com/en/frontier-agents): Overview of Noreja's autonomous, context-aware AI agents for analysis, model maintenance, and compliance tasks.
- [Full Website](https://noreja.com/en): Main English-language website and high-level introduction to Noreja Generative Process Intelligence.

## Knowledge and Concepts

- [Definitions and Glossary](https://noreja.com/en/definitions): Index of Noreja's English-language explanations of Process Intelligence, Process Mining, causal modeling, event data, process-modeling notations (BPMN, EPC), and agentic AI concepts.
- [The Origin of Causal Process Mining](https://docs.noreja.com/en/article/the-origin-of-causal-process-mining): Research-oriented explanation of causal process models, relational event data, and limitations of directly-follows approaches.
- [Contextualizing Knowledge for Minerva](https://docs.noreja.com/en/article/contextualizing-knowledge-for-minerva-ai): Explains how process data is enriched with case, process, organizational, and external context for AI-supported analysis.
- [Using LLMs with Noreja](https://docs.noreja.com/en/article/minerva-using-llms-with-noreja): Describes cloud, Noreja-managed, dedicated, and customer-operated LLM deployment options and associated data-control considerations.
- [Source Data Preparation and Common Challenges](https://docs.noreja.com/en/article/source-data-preparation-common-challenges): Guidance on timestamps, identifiers, activity definitions, normalization, and source-data quality for process analysis.

## Competitive Comparisons

- [Process Intelligence Vendor Comparison](https://noreja.com/en/battle-cards): Factual overview comparing leading process mining and process intelligence platforms; explains the distinction between frequency-based Directly-Follows analysis and Noreja's causal, temporal approach on an Event Knowledge Graph.
- [Noreja vs. Celonis Comparison](https://noreja.com/en/battle-cards/celonis): Head-to-head comparison of analysis paradigm, data model, ecosystem lock-in, and pricing transparency.
- [Noreja vs. Signavio Comparison](https://noreja.com/en/battle-cards/sap-signavio): Comparison with SAP Signavio, focused on SAP-ecosystem dependence versus source-system-agnostic causal analysis.
- [Noreja vs. UiPath Comparison](https://noreja.com/en/battle-cards/uipath-process-mining): Comparison with UiPath Process Mining, focused on automation-first discovery versus causal diagnosis.
- [Noreja vs. IBM Comparison](https://noreja.com/en/battle-cards/ibm-process-mining): Comparison with IBM Process Mining, focused on object-centric frequency mining (OCPM) versus causal modeling.
- [Noreja vs. Microsoft Comparison](https://noreja.com/en/battle-cards/microsoft-process-mining): Comparison with Microsoft Process Mining, focused on Power Platform accessibility versus analytical depth.
- [Noreja vs. ServiceNow Comparison](https://noreja.com/en/battle-cards/servicenow-process-mining): Comparison with ServiceNow Process Mining, focused on platform-native ITSM scope versus cross-system end-to-end analysis.
- [Noreja vs. ABBYY Timeline Comparison](https://noreja.com/en/battle-cards/abbyy-timeline): Comparison with ABBYY Timeline, focused on document-centric mining versus a graph-based causal model.
- [Noreja vs. Appian Comparison](https://noreja.com/en/battle-cards/appian): Comparison with Appian, focused on low-code orchestration with add-on mining versus specialized causal diagnosis.
- [Noreja vs. ARIS Comparison](https://noreja.com/en/battle-cards/aris-process-mining): Comparison with ARIS Process Mining, focused on model-repository conformance versus data-driven causal analysis.
- [Noreja vs. MPMX Comparison](https://noreja.com/en/battle-cards/mpmx-mehrwerk): Comparison with mpmX (MEHRWERK), focused on Qlik-based frequency analysis versus a dedicated causal graph model.

## Use Cases

- [Supply Chain](https://noreja.com/en/use-cases/supply-chain): Process Intelligence applications for supply-chain visibility, inventory, suppliers, working capital, quality, and operational flow.
- [Manufacturing](https://noreja.com/en/use-cases/manufacturing): Applications for production workflows, shop-floor efficiency, capacity, warehouse operations, quality, and manufacturing performance.
- [Insurance](https://noreja.com/en/use-cases/insurance): Applications for claims processing, underwriting, policy operations, customer journeys, partners, and reserve-related workflows.
- [Banking](https://noreja.com/en/use-cases/banking): Applications for customer onboarding, KYC, compliance, risk management, account opening, and financial-service operations.

## Customer Evidence and Trust

- [Success Stories](https://noreja.com/en/success-stories): Customer case studies and industry examples; interpret reported results in the scope and conditions described by each case.
- [Partners](https://noreja.com/en/partners): Consulting, implementation, technology, and academic partners supporting Noreja projects.
- [Trust Center](https://trust.noreja.com): Current security, compliance, certification, data-protection, and vendor-assurance information.
- [Contact](https://noreja.com/en/contact): Official contact form for product, partnership, support, and company inquiries.
- [Book a Meeting](https://outlook.office365.com/book/Kennenlernen@noreja.com/): Schedule an introductory meeting with Noreja.

## German-Language Resources

- [German Website](https://noreja.com/de): German-language website.
- [German Help Center](https://docs.noreja.com/de): German-language product documentation and release information.

## Optional

- [Process Mining](https://noreja.com/en/definitions/process-mining): Definition, purpose, and business relevance of Process Mining.
- [Process Intelligence](https://noreja.com/en/definitions/process-intelligence): Definition of Process Intelligence and its relationship to Process Mining, contextual knowledge, and AI.
- [Graph Databases](https://noreja.com/en/definitions/graph-databases): Explanation of graph-based data storage and its relevance to connected process data.
- [Event Knowledge Graph](https://noreja.com/en/definitions/event-knowledge-graph): Explanation of event and business-object representation in a connected graph structure.
- [Causal Process Mining](https://noreja.com/en/definitions/causal-process-mining): Definition of causal process analysis based on relationships beyond temporal sequence.
- [Limitations of Directly-Follows Approaches](https://noreja.com/en/definitions/directly-follows-limitations): Explanation of representational limitations in directly-follows process models.
- [Event Log](https://noreja.com/en/definitions/event-log): Definition of the traditional event-log format used in Process Mining.
- [Business Process Management](https://noreja.com/en/definitions/business-process-management): Definition of BPM and its relationship to process analysis and improvement.
- [Process](https://noreja.com/en/definitions/what-is-a-process): Definition of a business process, its boundaries, inputs, activities, and outputs.
- [Object-Centric Process Mining](https://noreja.com/en/definitions/object-centric-process-mining): Explanation of process analysis involving multiple related business-object types.
- [Process Discovery](https://noreja.com/en/definitions/process-discovery): Explanation of automatically deriving process models from observed event data.
- [Conformance Checking](https://noreja.com/en/definitions/conformance-checking): Explanation of comparing observed process behavior with policies or target models.
- [Task Mining](https://noreja.com/en/definitions/task-mining): Explanation of analyzing user interactions and manual desktop-level work.
- [OCEL 2.0](https://noreja.com/en/definitions/ocel-2): Explanation of the Object-Centric Event Log 2.0 standard.
- [Process Variant](https://noreja.com/en/definitions/process-variant): Definition of a distinct execution path through a process.
- [Process Instance](https://noreja.com/en/definitions/process-instance): Definition of a single execution or case of a process.
- [Process Simulation](https://noreja.com/en/definitions/process-simulation): Explanation of evaluating potential process changes through simulation.
- [Digital Process Twin](https://noreja.com/en/definitions/digital-process-twin): Explanation of a data-driven digital representation of an operational process.
- [To-Be and As-Is Processes](https://noreja.com/en/definitions/to-be-vs-as-is-process): Explanation of current-state and target-state process models.
- [BPMN](https://noreja.com/en/definitions/bpmn): Explanation of the Business Process Model and Notation standard for graphical process modeling.
- [Event-driven Process Chain (EPC)](https://noreja.com/en/definitions/epk): Explanation of the EPC notation of alternating events and functions, widely used in German-speaking countries.
- [Agentic Process Intelligence](https://noreja.com/en/definitions/agentic-process-intelligence): Explanation of autonomous AI agents working continuously on process models and process data.
- [Agent Mining](https://noreja.com/en/definitions/agent-mining): Explanation of applying Process Mining methods to the event traces produced by AI agents.
- [Agent Conformance Checking](https://noreja.com/en/definitions/agent-conformance-checking): Explanation of verifying that an autonomous agent stayed within its permitted process, role, and policy boundaries.
- [Process Grounding](https://noreja.com/en/definitions/process-grounding): Explanation of anchoring language-model output in real process and event data rather than linguistic probability.
- [Causal AI](https://noreja.com/en/definitions/causal-ai): Explanation of AI that models cause-and-effect relationships rather than statistical association alone.
- [Model Context Protocol (MCP)](https://noreja.com/en/definitions/model-context-protocol): Explanation of the open standard through which AI models and agents access external data sources and tools.
- [Agentic Automation versus RPA](https://noreja.com/en/definitions/agentic-automation-vs-rpa): Explanation of the difference between prescribed rule execution and goal-driven decisions at runtime.
- [AI Agent versus Copilot](https://noreja.com/en/definitions/ai-agent-vs-copilot): Explanation of the difference in initiative, time horizon, and scope of action between agents and copilots.
- [Self-Improving Processes](https://noreja.com/en/definitions/self-improving-processes): Explanation of processes that run their own continuous measure-understand-intervene loop.
- [Process Ontology](https://noreja.com/en/definitions/process-ontology): Explanation of the semantic layer describing object types, events, and their relationships in a process domain.
- [Agentic Root Cause Analysis](https://noreja.com/en/definitions/agentic-root-cause-analysis): Explanation of agents forming and testing root-cause hypotheses against process data.
- [Agent Readiness of Process Data](https://noreja.com/en/definitions/agent-readiness): Explanation of the data conditions required for AI agents to work reliably on process data.
- [Blog](https://blog.noreja.com): Articles, business cases, process-management guidance, and company perspectives.
- [Downloads](https://noreja.com/en/downloads): White papers, guides, and downloadable resources.
- [Team](https://noreja.com/en/team): Current team, founders, and advisory-board information.
- [Events](https://noreja.com/en/events): Current and upcoming Noreja events.
- [Careers](https://noreja.com/en/careers): Current employment opportunities.
- [Imprint](https://noreja.com/en/imprint): Official company and legal identification information.
- [Privacy Policy](https://noreja.com/en/privacy-policy): Current privacy and personal-data processing information.
- [LinkedIn](https://linkedin.com/company/noreja): Official Noreja LinkedIn page.
- [YouTube](https://www.youtube.com/@noreja_intelligence): Official Noreja YouTube channel.