Timbr Ontology-based Semantic Platform

Timbr is an ontology-based semantic layer purpose-built to power agentic AI over enterprise data. It creates a governed, machine-readable understanding of your business by modeling data as concepts, relationships, hierarchies, and rules inside a semantic graph that LLMs and autonomous agents can reason over safely and precisely.

This foundation enables AI systems to plan queries, navigate complex schemas, select the right metrics, and generate high-confidence answers using enterprise-approved logic. Timbr turns fragmented warehouses, lakes, and operational systems into a unified, AI-ready knowledge layer that supports advanced retrieval, multi-step reasoning, and production-grade GenAI applications across Azure environments.

Timbr includes an agile semantic modeler and a powerful analytics virtualization engine that connects to one or multiple data sources across Azure, on-prem, and hybrid environments, while exposing governed access in standard SQL.

Teams define metrics and KPIs once in Timbr Metric Store, making them reusable, auditable, and universally consumable by BI tools, applications, and AI services. Built-in AI connectivity delivers high-accuracy natural language to SQL (NL2SQL) over the governed semantic model, ensuring that human users and autonomous agents operate on the same trusted definitions.

With broad consumption enablement through SQL, APIs, BI integration, and natural language interfaces, organizations accelerate delivery, reduce operational risk, and scale self-service analytics without sacrificing governance.

Timbr integrates with Azure data and AI services, including Azure Synapse, Microsoft Fabric, Power BI, Azure SQL, and Azure OpenAI, enabling a consistent semantic layer across analytics and AI workloads.

Key capabilities include:

• Enabling agentic AI over enterprise data by providing LLMs and autonomous agents with a governed semantic graph for accurate NL2SQL, multi-step reasoning, and trusted data retrieval
• Simplifying analytics by replacing complex JOIN logic with reusable relationships, metrics, and business rules defined once and used consistently across queries
• Delivering a universal semantic layer for BI and AI by exposing governed KPIs, hierarchies, and definitions through SQL, APIs, and natural language to tools like Power BI, Tableau, and applications
• Virtualizing and unifying distributed data sources by connecting to Azure, cloud, and on-prem systems without moving data, creating a single semantic layer across warehouses, lakes, and operational systems
• Governing metrics and data logic centrally, allowing teams to define metrics once and ensure consistent, auditable usage across analytics, dashboards, and AI-driven workflows
  
  

Get started with Timbr to deliver AI-ready knowledge graphs and governed semantic access across your enterprise data.