Solution
Model and Power Digital Twins with SQL Ontologies
Timbr enables enterprise-scale digital twins by modeling real-world systems as governed SQL ontologies connected to live data.
Build dynamic, AI-ready models that are queryable, scalable, and easy to explore -without duplicating data or logic.
BEHIND THE SOLUTION
Timbr transforms complex, distributed data into a unified semantic layer that mirrors real-world systems -enabling simulation, monitoring, and predictive analysis.
Built on SQL-native ontologies, Timbr digital twins align your business and operational data with precision and context across BI tools, AI pipelines, and real-time dashboards.
REFERENCE ARCHITECTURES
Timbr integrates seamlessly with platforms like Microsoft Fabric, Databricks, and Snowflake, mapping live data from diverse sources into governed semantic models.
These models serve as the foundation for building scalable digital twins that power operational insight and strategic foresight.
How Timbr Powers
Digital Twins at Scale
Unified, Live
Digital Twin Models
Timbr enables always-synchronized twin models by overlaying semantic logic on top of live operational data sources. No need to replicate data or rewrite pipelines.
Hierarchical Representation of Real-World Systems
Use SQL ontologies to define physical or logical hierarchies (e.g., plant > unit > sensor) with clear relationships and transitive properties. This enables simulation and drill-down at any level.
Interoperable with Real-Time Intelligence & AI
Timbr integrates with real-time analytics engines and feeds semantic context into ML/AI tools, enabling predictive maintenance, anomaly detection, and simulation with enriched inputs.
Multi-format
Data Support
Consume time-series streams, telemetry, transactional events, and reference data through one model—interpreted through Timbr’s semantic layer. Built-in virtualization avoids expensive preprocessing.
Semantic Foundation for Digital Twin Dashboards
Timbr integrates with Power BI, Fabric, and other analytics platforms to build interactive digital twin visualizations based on governed ontologies. Entities and KPIs are pre-defined and reusable.
