Timbr.ai News
Announcing: Ontology-driven Data Agents for Databricks
Timbr introduces Timbr-driven Data Agents for Databricks, enabling AI agents to accurately understand and query enterprise data using governed semantic models.
By integrating Timbr’s SQL knowledge graph with Databricks environments, data agents gain access to business context, relationships, and standardized metrics—ensuring that generated queries reflect true business meaning rather than raw schema interpretation. This approach eliminates ambiguity in AI-driven analytics and enables reliable, production-grade data agents.
With Timbr, organizations can operationalize AI agents in Databricks that deliver consistent, explainable, and context-aware insights directly from their data platforms.
Introducing: Ontology Based Semantic Layer for ServiceNow
Timbr introduces Ontology Modeling for ServiceNow, transforming operational IT records into structured, enterprise-ready intelligence.
By modeling ServiceNow data as a semantic knowledge graph, Timbr enables organizations to connect incidents, services, changes, and business processes into a unified, queryable model. This allows both BI tools and AI systems to interpret ServiceNow data with full business context, eliminating the need for complex joins and manual data preparation.
The result is a shift from fragmented IT data to a consistent semantic foundation that supports analytics, automation, and AI-driven decision-making across the enterprise.
Announcing: Active LLM Management and Accelerated Ontology Generation
Timbr releases a set of foundational capabilities to strengthen enterprise governance of AI and improve SQL-based development workflows.
This update introduces Active LLM management, allowing organizations to define and control which large language model is used across all AI-powered operations. Combined with per-user LLM configuration, this ensures consistent, governed AI behavior across teams.
Additionally, Timbr enhances its semantic modeling performance with improved bulk description generation, accelerating ontology development at scale.
On the development side, Timbr introduces support for MCP OAuth and dynamic client registration, enabling secure, standards-based authentication for API integrations.
These updates reinforce Timbr’s position as a governed, enterprise-ready foundation for AI-powered data access and semantic modeling.
Introducing: Ontologies for Claude in Excel
Timbr introduces Ontology-driven integration for Claude in Excel, enabling accurate and context-aware interaction with enterprise data directly from spreadsheets.
By connecting Claude to Timbr’s semantic layer, Excel users can query data using natural language while leveraging structured ontologies that define business concepts, relationships, and metrics. This ensures that responses are grounded in governed data logic, rather than relying on ambiguous or schema-level interpretations.
This integration bridges the gap between conversational AI and enterprise data in Excel, allowing business users to access trusted insights without sacrificing accuracy or control.
Announcing: AI-powered Knowledge Graph querying and AI enhancements
Timbr introduces major advancements in AI-driven interaction with knowledge graphs, enabling both automation and accessibility across the platform.
This release includes Ask Timbr Agent support, allowing users to query knowledge graphs through intelligent agents that interpret intent and retrieve governed results. In addition, Timbr introduces AI-powered measure recommendations, helping data engineers accelerate semantic modeling by automatically suggesting relevant business metrics.
To further enhance usability at scale, Timbr now supports automatic generation of descriptions for concepts, relationships, properties, measures, views, and cubes, along with internationalization capabilities that enable automatic translation of knowledge graph entities.
These enhancements significantly reduce manual effort while making semantic models more accessible to global teams and AI-driven workflows.
Introducing: Ontology-Based Semantics for Snowflake
Timbr introduces ontology-based semantic modeling for Snowflake environments, addressing inconsistent metrics, scattered SQL logic, and trust gaps in AI-driven analytics. The update shows how Snowflake users can add governed business meaning without changing their underlying data architecture.
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Introducing: Salesforce Ontologies in Timbr
Timbr introduced automatic ontology generation for Salesforce, transforming Accounts, Contacts, Opportunities, and custom objects into a governed semantic model. Salesforce data becomes part of an enterprise knowledge graph, enabling semantic queries, reusable metrics, and AI-ready analytics without complex joins.
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Announcing: Timbr Is Now an Approved LangChain Provider
Timbr is now an officially approved LangChain provider, enabling native integration between Timbr’s SQL-based ontologies and the LangChain ecosystem. The Timbr SDK allows teams to build ontology-driven AI agents with governed NL2SQL, knowledge graph reasoning, and enterprise-ready LLM workflows.
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Introducing: Timbr’s AI-driven Graph Analyst Assistant
Timbr introduces the Graph Analyst Assistant, a powerful AI-powered feature designed to help business users explore complex data and uncover insights using natural language, no coding required. By combining Timbr’s semantic graph capabilities with an interactive assistant, users can intuitively ask questions, visualize relationships, and receive fact-based answers derived from the underlying ontology. The Graph Analyst Assistant understands graph data, suggests refinements, and delivers contextualized reports, accelerating discovery and decision-making.
Watch the Graph Analyst Assistant in action
Introducing: Timbr’s RDF Graph Materialization Solution
Timbr now supports RDF Graph Materialization, enabling organizations to generate RDF triples and expose existing SQL ontologies as SPARQL endpoints. This bridges the gap between SQL-native semantic layers and RDF-based systems for interoperability and standards compliance.
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Announcing: The Enterprise LLM Foundation Core Capability
Timbr.ai launches its Enterprise LLM Foundation, a core capability that empowers organizations to govern, scale, and optimize LLM use across structured data. Built on Timbr’s SQL knowledge graph, the foundation includes AI-ready modeling, metric logic, access controls, and SDKs to drive responsible and high-performing LLM applications.
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Introducing: Timbr GraphRAG Smart Capability and GraphRAG SDK
Timbr introduces GraphRAG, a smart capability and SDK that enables structured retrieval-augmented generation (RAG) without relying on graph databases. By integrating SQL-based knowledge graphs with LLMs, Timbr GraphRAG empowers developers to connect structured data directly to LLM pipelines with full governance, real-time access, and advanced reasoning.
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Announcing: LangGraph SDK for AI Integration
Timbr now offers a dedicated LangGraph SDK, allowing developers to incorporate Timbr’s semantic models into LangGraph agents. With built-in support for structured reasoning and governed SQL data access, this SDK accelerates the development of enterprise-grade agentic workflows powered by LLMs.
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Announcing: The GenAI NL2SQL-Engine Smart Capability
Timbr releases its GenAI-nl2sql-engine, a smart capability that delivers precise and context-aware SQL query generation from natural language. Designed for enterprise environments, the engine leverages Timbr’s semantic models to ensure accurate interpretation of user intent and consistently reliable query outputs across data sources.
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Introducing: LangChain SDK for AI Integration
Timbr introduces a LangChain SDK, enabling seamless integration of Timbr’s SQL knowledge graph into LangChain workflows. This release empowers developers to build LLM agents that can interpret business context, retrieve governed data, and generate structured outputs using familiar Python-based tooling.
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Introducing: Github Repository Of SQL Ontologies
Timbr now offers a catalog of SQL ontologies on GitHub, enabling users to explore and adopt a template ontology for accelerating semantic data modeling of their use case.
explore the repository…
Announcing: Seamless Integration with RETOOL Workflows
Timbr now seamlessly integrates with RETOOL, enabling developers to build internal apps powered by governed semantic data. With Timbr’s SQL knowledge graph available in RETOOL, teams can create production-grade apps with accelerated data workflows, full lineage, and built-in business context.
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Introducing: The SQL Semantic Metrics Store
Timbr introduces measures in SQL, effectively replacing both DAX and MDX. Timbr SQL measures leverage the native functions and aggregations of the connected database. By executing computations at the source, Timbr’s SQL measures eliminate inefficiencies, reduce query complexity, and deliver faster results.
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Announcing: LLM Integration For Accurate SQL Query Generation
Timbr integrates LLM technology to generate highly accurate SQL queries from natural language inputs. This innovation bridges the gap between technical data systems and business users, ensuring reliable, fast query creation.
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Announcing: LLM Integration To Transform ERD Drawings Into Ontologies
Timbr integrates LLM technology to convert ERD drawings into intelligent semantic models (ontologies). This accelerates the process of building semantic layers and enhances data modeling efficiency with AI-driven precision.
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Introducing: Excel Add-On For Data Retrieval with Natural Language Queries
Timbr releases its Excel add-on, enabling database data extraction using natural language queries. Users can now effortlessly interact with their databases from Excel, turning complex queries into accessible insights.
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Introducing: Native Integration To Databricks Notebook For Semantic Modeling
Timbr now integrates with Databricks Notebooks to facilitate seamless semantic data modeling. Data engineers can design intelligent semantic layers using SQL and notebooks, empowering data teams to accelerate insights.
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Announcing: Native Integration To Databricks Unity Catalog
Timbr introduces native support for Databricks Unity Catalog, enabling enterprises to seamlessly organize and access their semantic data models with enhanced governance, management, and security at scale.
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Announcing: New Integration To Databricks Delta Lake Architecture
Timbr now integrates natively with Databricks Delta Lake architecture to create a semantic Databricks Lakehouse. This integration enables businesses to unify their data, virtualize knowledge graphs, and leverage Timbr’s semantic layer for optimized analytics and faster insights.
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Introducing: Semantic Swagger Self-Documenting API
Timbr announces availability of Semantic Swagger (Open API), a self-documenting API for every semantic model. Developers can access model definitions dynamically, enhancing API usability, collaboration, and integration.
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Announcing: Healthcare Reference Architecture For AWS With HL7 FHIR
Timbr.ai announces the introduction of a healthcare reference architecture for AWS, leveraging HL7 FHIR data definitions and ontology to drive healthcare data interoperability. This release simplifies data integration, enhancing workflows for healthcare analytics and patient-centric solutions.
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Introducing: REST API with GraphQL capabilities
Timbr announces availability of the unique semantic REST API, empowering applications with business definitions and optimized data fetching. This release accelerates data access by providing a business-context-rich interface to seamlessly integrate semantic data into applications, ensuring optimized and scalable workflows.
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Introducing: Automated Generation of Data Model Relationships
Timbr.ai introduces automated data model relationship generation, simplifying the discovery and connection of relationships between datasets for advanced analytics and streamlined data consumption.
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Introducing: Automated Generation of Semantic Modeling of Data
Timbr automates intelligent semantic modeling of data, streamlining workflows for data engineers. This release drastically reduces time-to-insight by automating the generation of semantic layers across complex datasets.
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Partnership: Timbr.ai and Octostar sign Collaboration Agreement
Timbr.ai (WP-Semantix Ltd), a leader in ontology-based semantic data management solutions and Octostar, the leading innovator of investigative and decision intelligence solutions, announced today the signing of an agreement on technology collaboration.
Contact us to become a Timbr partner.
Partnership: Timbr.ai and Databricks Partner up
Timbr.ai and Databricks announce a partnership, integrating Timbr.ai’s semantic graph technology into Databricks’ platform. This collaboration brings advanced semantic analysis capabilities to Databricks, enriching data insights and analytics.
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Databricks Data+AI Summit: Meet us there!
Come and meet us to demo jointly with Capgemini the “Insight First Architecture” designed to enable Autonomous Analytics (Defensive Insights from BI/AI: to monitor, alert and defend the company’s market position) and AI/ML (offensive analytics from AI ML to discover and exploit potential opportunities to drive market position).
Contact us to schedule a meeting.
Introducing: Timbr Knowledge Graph Views and Views Manager
Timbr now features a unique Knowledge Graph Views manager empowered by short SQL queries for convenient creation, management, virtualization and sharing of SQL Views from multiple data sources, so data engineers can accelerate workflows to enable data consumption by business intelligence and data science tools.
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Introducing: Timbr’s Virtualization Engine
Timbr’s virtualization engine joins multiple data sources at scale, so users can conveniently consume data represented as a single semantic graph that can be queried with short and simple SQL queries.
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Conference: Listen to our CEO speak at the Future of AI conference
We invite you to join Timbr.ai’s CEO Amit Weitzner in one of the leading AI & data conferences to learn more about Knowledge Graphs and how they democratize access to data and accelerate analytics.
Amit will speak at the Future of AI conference in Tel Aviv on March 23 together with Nir Sgulim (EY) and Yorai Fainmesser (Disruptive AI Venture Capital)
You can register with 10% off using this code SPEAKER-TJA or use this link https://lnkd.in/d3ZuX4H8
Partnership: Timbr.ai and Vistex sign OEM Agreement
Timbr.ai (WP-Semantix Ltd), a leader in semantic graph data management solutions and Vistex, the global leader in pricing, trade, royalties and incentives management solutions, announced today the signing of an OEM agreement to integrate Timbr.ai software into Vistex’s product portfolio.
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Selected: Timbr.ai named a Gartner Cool Vendor
Timbr.ai, a leader in semantic graph data management solutions, announced that it has been named a Cool Vendor in the recent Gartner® report on Cool Vendors™ in Data Management.
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Introducing: The Google Analytics 360 SQL Knowledge Graph
Timbr.ai announces the availability of the Google Analytics 360 SQL knowledge graph.
An off-the-shelf, customizable SQL Knowledge Graph enabled with graph algorithms, turns Google Analytics 360 data export to BigQuery into a user-friendly strategic tool, that shortens data science time-to-value and empowers marketing and sales teams with access to granular-level insights of visitors’ behavior across properties.
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Selected: Timbr.ai one of 5 top Emerging Knowledge Representation & Reasoning Startups
StartUs Insights has selected Timbr.ai as one of 5 top emerging knowledge representation startups & scaleups around the world, from among 277 artificial intelligence companies analyzed. Read more ..
Startus Insights is a data-science company on the mission to map the world’s information on innovation, emerging companies, and technologies. The StartUs Insights Discovery Platform, covers over 1.3 million startups & scaleups globally. This Big Data & AI-powered intelligence enables partners to quickly and continuously identify new startups, scaleups & technologies that matter to them. Some of their 200+ partners include Samsung, Nestlé, Lufthansa Cargo, KNAPP AG, Magna, CAF, Siemens Gamesa, Iberdrola, CARGOTECH, Bayer’s G4A, and Altair.
New Timbr feature: Automated Graph Algorithms (AutoGA) for data lakes and data warehouses
Timbr.ai announces the availability of the Automatic Graph Algorithms module of the SQL Knowledge Graph. Timbr’s graph algorithms module is the first to enable running of graph algorithms over relational data. The module includes a library of commonly used graph algorithms and handles the process of selecting, editing and running the algorithms.
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New Timbr feature: Graph Data Exploration for data lakes and data warehouses
The graph data exploration module allows users to visualize the underlying data as a connected graph to explore and discover relationships and dependencies in the data. The module enables traversing of the entire organizational data viewed as a single connected graph, so users can better understand the data, discover hidden value and expose the data without need of extracting tables or views before running a query.
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Timbr.ai selected: Israel’s Covid-19 SQL Knowledge Graph
The Timbr SQL Knowledge Graph platform has been selected as the enabling infrastructure of Israel’s government COVID-19 knowledge graph, mustering the publicly available data sources generated worldwide in the fight against COVID-19. Delivered in under 10 days, the knowledge graph is integrated into a collaborative, powerful, comprehensive, AI-enabled and easy to use platform to provide researchers, analysts, data scientists and organizations with the necessary semantic access to unified data and analytical tools to evaluate and develop recommendations in the fight against COVID-19.
