Now in Public Beta

Build Self-Describing Data Models with AI

Transform CSV data, Markdown templates, and ideas into semantic data models that work across systems, domains, and languages.

Built on

16+ W3C Standards

Powered by

Google Vertex AI

Supports

ISO/IEC Standards

Why SDC Studio?

The only platform that combines AI-powered semantic modeling with enterprise-grade standards compliance.

AI-Powered Intelligence

Vertex AI automatically discovers semantic relationships, suggests ontology mappings, and generates comprehensive documentation.

Multiple Input Formats

Import from CSV, JSON, PDF, Markdown, DOCX, or build models from scratch. Your data, your way.

Standards Compliant

Based on SDC4 specification with full support for XML Schema, RDF, OWL, SHACL, and 12+ additional standards.

Export Anywhere

Generate XSD schemas, XML instances, JSON/JSON-LD, HTML docs, RDF triples, SHACL constraints, and GQL statements.

Team Collaboration

Share models with team members, manage projects collaboratively, and maintain version control.

Lightning Fast

Process CSV files with thousands of rows in seconds. Built on modern async architecture for maximum performance.

How It Works

From data to semantic model in three simple steps

1

Upload Your Data

Drop in a CSV file, paste JSON data, upload a PDF with requirements, or start from scratch with our intuitive visual editor.

2

AI Generates Model

Our AI analyzes your data, discovers semantic relationships, maps to ontologies, and generates a complete SDC4-compliant model.

3

Export & Deploy

Export to XSD, XML, JSON, RDF, SHACL, GQL, or HTML. Deploy anywhere. Your semantic model is ready for production.

See the Processing Pipeline in Action

From CSV or Markdown to deployed semantic application in minutes, not months.

Ready to Build Self-Describing Data?

Start building semantic data models with AI-powered intelligence and enterprise-grade standards compliance.