The governed enterprise context layer for AI
SQL-native Ontologies and Institutional Memory for Production AI Agents
The governed
enterprise context
layer for AI
SQL-native Ontologies and Institutional Memory for Production AI Agents
SQL Ontologies
The Operational Brain of the Modern Data Stack
Give every data agent a governed playbook
Turn approved questions, concepts, relationships, metrics, business rules, and query patterns into reusable guidance that helps agents understand how your organization expects data to be interpreted and queried.
From vibe ontology modeling to governed data consumption
Automatically create a trusted semantic layer from your enterprise data, available to AI agents, analysts, and business users through governed natural language, SQL, and analytics workflows.
MODELING
Generate SQL ontologies from your data
Let AI create the ontology's concepts, relationships, metrics, and mappings from your source data, while your team stays in control of validation, refinement, and governance.
Explore Modeling →CONSUMPTION
Ask questions across governed enterprise data
Enable AI tools, analysts, and business users to retrieve trusted, contextualized answers through natural language, semantic SQL, and connected analytics workflows.
Explore Ask Timbr →Build smarter, enterprise-ready
AI workflows
Build smarter, enterprise-ready AI with SQL Ontologies
Enable LLMs – Large Language Models and autonomous agents to interact seamlessly with structured, governed, and contextualized data, by leveraging ontology modeling, relationships, SQL measures, and virtualization.
- Unify structured data into a semantic graph for precise context.
- Empower LLMs with accurate, governed, real-time answers.
- Accelerate development with SDKs for seamless integration into apps, copilots, and workflows.
Simplify your Journey
from Data to Knowledge
- Model data semantically with SQL ontologies.
- Define reusable semantic metrics.
- Replace complex JOINs with semantic relationships.
- Benefit from hierarchies and classifications.
- Apply business rules using logic and math operators.
Semantic Representation
of Data
Semantic Relationships
Hierarchies and Classifications
Business Logic
Semantic Reasoning (Inheritance)
Integrate & Harmonize Data
- Automatically map data to the ontology.
- Join multiple data sources to query data at scale.
- Consume data as a connected semantic graph.
- Benefit from advanced query optimizations.
- Boost performance and save compute costs with Timbr's intelligent cache engine.
Connect Any Data Source
- Don't move, ingest or "sync" data, just map it at source.
- Work seamlessly with multi-sourced data.
- No worries, it's your data. Timbr doesn't store any.
- When running a query, Timbr optimizes the query and pushes it down to the backend.
Leverage Universal Consumption of Data
Power Web and AI Apps with Smart REST
- Draw from multiple data sources.
- Fetch only the fields needed.
- Fetch nested data structures.
- Self-document with semantic Swagger (open API).
- Draw complex relationships in data.
- Reduce network payload.
- Role-based and row-level access control.
Accelerate Analytics and Insights
Deliver Faster with Shorter SQL Queries
With JOINs
22 lines of SQL:
With Relationships:
6 lines of SQL
Explore and Analyze Data as a Graph
- Traverse your relational data across tables and sources.
- Generate explorations with SQL or NL queries.
- Unlock powerful insights using Timbr’s LLM Data Analyst.
Decouple AI and BI from Physical Data Schemas
- Reuse common metrics across tools.
- Replace static views with dynamic concepts and data mappings.
- Update the data structure without disrupting workflows.
- Push down compute from BI to CDW.
- Avoid lock-in of data stores and consumption tools.
- Accelerate cloud migration.
- Build easier to maintain systems.
Accelerate Time to Value
- Fast, convenient implementation.
- Smart, AI-assisted ontology modeling.
- Reduced time-to-consumption by up to 90%.
- SQL: Open, accessible, no need to learn new paradigms or complex languages.
Deploy Where your Data Lives
- SaaS, cloud or on-premises.
- Available on Azure, GCP and AWS.
- Containerized in Kubernetes.
Tackle your data challenges
smarter and faster
1 GARTNER Cool Vendors in Data Management, June 01, 2021. ID: G00746797. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. The GARTNER COOL VENDOR badge and GARTNER are registered trademarks and services marks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and are used herein with permission. All rights reserved.