Accelerate modernization
and agentic transformation
Experience Reltio Ontology Builder.
Convert data models in minutes with AI.
Translate application models, source schemas, and legacy MDM structures into a Reltio-ready canonical model that preserves entities, relationships, attributes, and business meaning for context intelligence. You can bring your data models from Informatica MDM, IBM InfoSphere MDM, TIBCO EBX, and others.
Explore Reltio velocity packs for your industry.
Browse industry models for life sciences, healthcare, financial services, insurance, supplier, product, B2B, B2C) via a rich, interactive visualization to simplify your implementation and team collaboration. Use our AI agent at no cost and accelerate modernization from day one.
Refine your future-state model.
Interactively explore the graphical representation of Reltio’s canonical model, review entity types and interactions, inspect relationships and attributes, and refine outputs with AI-guided recommendations before implementation. Gain a machine-readable representation of your business to power your business with a trusted, connected context.
Meet your ontology foundation for your semantic layer.
Start by bringing your existing data models into Reltio Ontology Builder to move from complexity to clarity, from manual effort to agentic automation.
Translate your existing schema or browse Reltio’s prebuilt data models.
Upload your source application and legacy MDM data schemas—and automatically convert them into a Reltio-ready canonical model built for the Reltio Intelligent Data Graph™ in minutes, not months. Or you can just explore the prebuilt data models for your industry.
Use agentic AI to suggest mappings before refining and implementing.
Explore how your existing model maps to the Reltio canonical model before you commit to transformation. Understand entity alignment, interactions, relationships, and attributes with precision before migration.
Browse industry-specific prebuilt Reltio data models with interactive visuals.
Explore entity types (such as individual, organization, HCP, HCO, patient, provider), drill into attributes and nested attributes with associated reference data, navigate relationship types (affiliated-with, parent, subsidiary, and more), and understand match rules and survivorship logic—all visually.
Form the ontology foundation required to power agentic transformation.
Gain a canonical, machine-readable representation of your business with unified data, rich attributes, and metadata preserving their cross-domain relationships. Simplify your journey into a trusted, connected context for AI agents and digital systems.