Founder & Head of R&D at RALFORION. Building OrionBelt, an open-source Semantic Sidecar for Agentic AI. So AI stops guessing your GROUP BY.

• Building OrionBelt Semantic Layer, OrionBelt Analytics & OrionBelt Ontology Builder — because data deserves better than copy-pasted SQL
• Semantic data modeling, knowledge graphs, and BI architecture — the stuff that makes dashboards and Agentic AI actually trustworthy
• Longtime Qlik community contributor — extensions, open-source tools, and opinions nobody asked for
• Longtime Gopher 🐹, now addicted to snakes 🐍
• Arctic Code Vault Contributor — my code will survive the apocalypse, no pressure

Ontology-driven analytics platform for AI agents — transforming how data is modeled, explored, and understood through knowledge graphs and semantic reasoning.

A universal semantic layer that bridges the gap between raw data and business meaning, enabling consistent metrics and definitions across tools and teams, designed with an API-first approach for agentic AI.

A Streamlit-based application for building, editing, and managing OWL ontologies — providing a visual interface to define classes, properties, and relationships for semantic data models.

Run OBML query batches against the OrionBelt Semantic Layer and emit reports. YAML-defined runs produce self-contained markdown, HTML, or PDF reports with audit-grade YAML run-logs. Built for cron, CI, and scheduled audits.

Conversational AI interface tying the OrionBelt platform together. 300+ models via OpenRouter, Anthropic & OpenAI direct, local LLMs via MLX or Ollama. Dual MCP server support with sampling, inline Plotly charts, and Mermaid diagrams.

• What is a Semantic Sidecar? — the pattern OrionBelt implements (drop-in governed semantics for AI, analytics, and data systems, no architecture change)
• Agentic AI Data Access — governed, consistent, audit-ready access for AI agents via MCP
• Governed Text-to-SQL — fan-trap prevention via ontology, AST, and MCP
• OrionBelt Platform Overview — the complete stack on one page