Solution
Transform Your Lakehouse into a Smart, Governed and LLM-Ready Analytical Engine
Timbr brings semantic modeling to modern lakehouse platforms, creating a unified layer of meaning across all your data.
By virtualizing relationships and enriching metadata, Timbr helps Databricks, Snowflake, and other lakehouse architectures become truly intelligent and AI-ready.
BEHIND THE SOLUTION
Timbr introduces an intelligent framework that governs and organizes lakehouse data, providing meaning, relationships, and LLM readiness, enabling powerful and efficient querying.
REEFERENCE ARCHITECTURES
Timbr integrates seamlessly with modern lakehouse platforms like Databricks Lakehouse, Snowflake, Google BigLake, and Microsoft Fabric, delivering the power of ontologies
Challenges
Lacking Semantics in Your Lakehouse?
Lakehouse platforms unify lakes and warehouses but still lack semantic meaning. Without explicit relationships and reusable models, teams face inconsistent metrics, redundant pipelines, and knowledge silos.
Facing Barriers to Self-Service?
Even with structured storage, end users still struggle to access and understand data. Complex joins and technical dependencies block business teams from exploring data confidently.
LLM Integration Still Experimental?
LLMs require structured, well-defined knowledge. Native lakehouse schemas often lack the contextual richness needed for accurate and safe LLM interactions. Timbr transforms your lakehouse into an LLM-ready knowledge graph.
Why Timbr
Semantic Modeling with No Data Movement
Timbr creates a virtual semantic layer directly on top of your lakehouse. No copying, no duplication, just better structure and governance, working natively with Delta Lake, Unity Catalog, and more.
Unified Metrics and Relationships
Timbr defines metrics, dimensions, and relationships as reusable semantic concepts. This makes queries simpler, governance stronger, and downstream tools—from BI to LLMs—more reliable.
Built for Databricks and the Lakehouse Era
Whether you’re using Databricks SQL, Python, or DLT, Timbr integrates seamlessly. Analysts, data scientists, and business users all benefit from simplified access to governed, interconnected data.
Impact
AI-Ready Lakehouse
Timbr transforms your lakehouse into a governed semantic knowledge graph—perfect for LLM-powered analytics, prompt engineering, and AI agents that understand your business.
Faster Time to Insight
By reducing query complexity and providing reusable logic, Timbr accelerates discovery. Teams get faster answers using simple SQL, without waiting on engineering.
Governed Collaboration at Scale
With centralized semantic definitions accessible from tools like Unity Catalog or Fabric, Timbr ensures consistency and trust in every analysis—whether across notebooks, dashboards, or AI models.
