Model-driven platform for enterprise data
A model-driven platform for multi-domain data management
ON EBX is a model-driven, multi-domain data management platform designed to unify and govern enterprise data across systems and domains. It brings master data, reference data, and metadata together into a single controlled environment—eliminating silos and ensuring consistency across the enterprise.
By combining governance, modeling, and integration in one platform, ON EBX helps organizations create a trusted data foundation that supports both business operations and modern AI-driven use cases.
Built for governance, flexibility, and scale
ON EBX brings together the core capabilities organizations need to manage complex enterprise data across domains, systems, and business functions.
Multi-domain MDM
- Customer MDM
- Product MDM
- Location and asset MDM
- Hierarchies and relationships
Reference data management
- Standardized reference datasets
- Controlled updates and approvals
- Cross-system consistency
- Data definitions and classifications
Data governance and quality
- Validation rules and policies
- Data quality monitoring
- Permissions and access control
- Audit trails and lifecycle tracking
Workflow and stewardship
- Approval and review workflows
- Data stewardship processes
- Issue resolution and tracking
- Role-based collaboration
Governed data services
- REST and SOAP data services
- Governed access to master data
- Validation and permission enforcement
- Import, export, SQL, and workflow interactions
AI-powered intelligence
- Contextual data modeling
- Structured inputs for AI systems
- AI-assisted enrichment with controls
- Business-ready data for analytics
Metadata management and lineage
- Business and technical metadata management
- Data lineage and traceability
- Relationship mapping across domains
- Integration with data catalogs and governance tools
Designed to integrate, govern, and scale enterprise data
ON EBX acts as a model-driven, governed data layer, connecting enterprise source systems to downstream consumers such as applications, analytics, AI, workflows, and other business systems.
It brings data into a unified, structured layer where it can be modeled, validated, governed, and enriched with business context before being shared across use cases.
At a high level, ON EBX sits at the center of your data ecosystem, integrating sources, applying governance and context, and enabling consistent, scalable data consumption across the enterprise.
What this architecture enables
Open connectivity across your ecosystem
- REST APIs for real-time integration
- SOAP/WSDL-based service integration
- Messaging support, including JMS, for event-driven workflows
- File-based import and export, including CSV, XML, and Excel
- Java-based extensibility for customization
This open approach ensures long-term adaptability as enterprise architectures evolve.
With structured onboarding and implementation approaches, organizations can move quickly from setup to value while aligning with both innovation and regulatory requirements.
On-premises deployment
Hybrid environments
Cloud-supported deployment
Built to deliver trusted data for AI and analytics
ON EBX prepares enterprise data for modern AI and analytics use cases by adding structure, relationships, and business context at the source, ensuring more reliable and consistent outcomes.
Structured inputs for AI models
Business context embedded in data
Controlled AI-assisted enrichment
Reliable analytics and decision-making
AI Assistant capability
Generative AI assistance embedded in EBX to help users complete record-level tasks
Ready to explore how ON EBX fits into your architecture?
Whether you’re modernizing data management, scaling governance, or preparing enterprise data for AI, ON EBX can help create a trusted foundation for what comes next.
