Design ontologies visually, validate them in real-time, and export production-ready RDF + SHACL for your knowledge graphs and AI systems.
“Ontology engineering is becoming mainstream because AI systems need structure, not just embeddings.”
Graph RAG systems need explicit relationships to reason over.
AI agents need semantic models to understand domain constraints.
Knowledge graphs need well-defined schemas to scale reliably.
Academic tools with steep learning curves and unintuitive interfaces
Manual, error-prone workflows that slow down iteration
Validation that happens too late, after the damage is done
Disconnected from modern AI workflows and development practices
Ontology modeling shouldn't feel like configuring research software from 15 years ago.
OntoBoom isn't a graph database. It's not a marketplace. It's the IDE where ontologies are designed visually and iteratively, with AI-powered assistance, then exported to your production systems.
Drag-and-drop classes, properties, and relationships. See your ontology structure at a glance with an intuitive graph editor.
Accelerate your workflow with intelligent suggestions, automatic error detection, and instant fixes. Build ontologies 10x faster.
Real-time validation catches issues as you design. No more discovering broken ontologies after deployment.
Work with a clean JSON representation that's easy to version control, diff, and integrate with your existing tools.
Import from DDL/SQL, CSV, JSON, XML Schema, Turtle, JSON-LD, and RDF/XML. Convert existing schemas instantly.
Export to Turtle, JSON-LD, RDF/XML, OWL, SHACL shapes, and Cypher for triple stores and graph databases.
Programmatic access to your ontologies. Generate API tokens for external apps, pipelines, and automated workflows.
Connect Claude Desktop and AI assistants directly to your ontologies via Model Context Protocol.
Build the semantic schema that powers retrieval-augmented generation. Define entities and relationships that give your LLM structured context to reason over.
Design enterprise knowledge graphs with proper class hierarchies, property constraints, and data validation rules before loading your first triple.
Encode business rules and domain constraints that AI systems must respect. Turn implicit knowledge into explicit, enforceable schemas.
Give AI agents a formal understanding of your domain. Model concepts, relationships, and constraints that help agents make better decisions.
Free users get $5 AI credit to explore the full power of AI Copilot. Upgrade to Pro for unlimited projects, ontologies, and the ability to purchase additional AI credits.