Ellie AI

Ellie AI is an AI-powered enterprise data modeling and semantic modeling platform developed by Ellie Technologies. It is designed to help data teams and business stakeholders understand, design, document, govern, and manage enterprise data through conceptual, logical, and physical data models. The platform combines data modeling, business glossaries, metadata management, collaboration, AI-assisted modeling, data discovery, and integrations with data engineering and governance tools.

Ellie began as an internal tool for data-warehouse consulting projects. According to the company’s origin story, the technology was developed beginning in 2018, after the team identified a need for easier data modeling that could be used jointly by technical and business users. Ellie Technologies was established as an independent company, and the company began selling and delivering Ellie commercially in 2019.

The platform’s primary purpose is to create a connection between business concepts and technical data structures. Ellie allows teams to start with conceptual models representing real-world business entities and relationships, then develop those designs into logical and physical data models. This creates a continuous link between business requirements and technical implementation.

Ellie supports full-stack data modeling, covering conceptual, logical, and physical layers. Conceptual models can represent business entities and their relationships, while logical models can define attributes, primary keys, foreign keys, and relationships. Physical models can then represent implementation-level structures and can be used to generate SQL.

A major component of Ellie AI is its AI-assisted data modeling. The platform provides AI capabilities that can help users create first-draft models from requirements, identify relevant data assets, improve existing models, and generate synthetic metadata. Ellie also provides AI-assisted discovery of source tables and columns, allowing data teams to search large collections of source data more efficiently.

Ellie’s AI capabilities are also designed to support agentic AI and semantic layers. The platform can provide structured business context for AI agents so that questions involving concepts such as customers, revenue, profitability, or reporting periods can be interpreted according to an organization’s own definitions. This helps connect AI systems with governed business terminology and data structures.

The platform includes Lumi, Ellie’s AI assistant. Lumi can work with the model on the canvas, help users create or modify models, identify relevant assets, and interact with model information. Recent Ellie releases have expanded Lumi’s capabilities, including the ability to ask about a model, apply multiple changes, and use SQL as an input for building models.

Ellie also includes a Business Glossary. Organizations can define business terms, concepts, ownership, and relationships and connect those definitions to data models. This allows technical and non-technical stakeholders to use a shared vocabulary when working on data projects. The glossary can also be connected with external data catalogs and reused across different models.

Collaboration is another core capability. Ellie is cloud-based and allows business and technical users to work together on data-product designs. Users can share models, leave comments, work simultaneously, and use different user roles to support review and approval processes.

Ellie also emphasizes model reusability and versioning. Teams can reuse existing entities and other model components instead of recreating them for every project. Versioning allows organizations to maintain model history and continue developing data products without creating unnecessary duplicates.

The platform is designed for enterprise data management, data warehousing, data governance, data mesh, analytics engineering, and data-product design. Ellie supports data-lakehouse, Data Vault, dimensional modeling, and star-schema workflows. It can also help organizations document existing data environments and design target structures before implementation.

Ellie has a broad integration ecosystem. The company states that the platform connects to 170+ business data solutions and source systems. Named integrations and technologies include Snowflake, Microsoft Fabric, Microsoft Purview, Collibra, dbt, WhereScape, Vaultspeed, Datavault Builder, Okta, and Microsoft Azure Active Directory. Ellie also provides REST APIs and model and glossary APIs for custom integrations.

Ellie also provides an MCP Server that allows AI assistants such as Cursor, Windsurf, and Claude Desktop to interact directly with Ellie models through the Model Context Protocol. This extends Ellie beyond a traditional data-modeling interface and allows AI agents to work with structured business and data context.

The platform is particularly focused on enterprise environments. Enterprise capabilities include collaboration tools, hierarchical folders, security and glossaries, advanced AI functionality, governance features, role management, version history, SSO, API access, premium support, service-level agreements, and dedicated customer-success support.

Ellie therefore combines AI-assisted data modeling, semantic modeling, business glossaries, data governance, data discovery, collaboration, model reuse, APIs, and enterprise integrations into a single cloud-based platform.

Pricing

Ellie currently offers Solo and Enterprise editions. The Solo plan is intended for individual users, while Enterprise adds collaboration, governance, security, advanced AI capabilities, and enterprise integrations.

Current published pricing is:

• Solo: €49 per month
• Solo with annual commitment: €41.58 per month
• Enterprise: starting at €1,200 per month when billed annually
• Enterprise annual price: starting at €14,400 per year

Ellie also offers a free trial without requiring installation or a commitment.

Review

Ellie AI takes a specialized approach to artificial intelligence by applying AI to enterprise data modeling and semantic context rather than functioning as a general-purpose chatbot. Its main value comes from combining AI assistance with structured models, business definitions, metadata, and data-governance workflows.

One of Ellie’s strongest characteristics is its support for the complete data-modeling lifecycle. Teams can move from conceptual business models to logical structures and then to physical implementation models while maintaining relationships between the different layers. This can reduce the disconnect that often exists between business requirements and technical data structures.

The AI capabilities add another layer to this workflow. Ellie can help generate first-draft models, create metadata, discover relevant source data, and assist with model development. Its AI-assisted search is particularly relevant to organizations with large numbers of tables and columns because it can help users identify relevant assets without manually searching through every source.

The Business Glossary is also important because it gives organizations a shared vocabulary for business concepts. Connecting glossary terms to data models can help technical teams and business stakeholders work from consistent definitions.

Its integration capabilities make Ellie suitable for organizations that already use established data platforms and governance tools. The combination of native integrations, APIs, metadata import/export, and support for more than 170 source systems gives organizations several ways to connect Ellie with existing data workflows.

The main limitation is its specialization. Ellie is primarily an enterprise data-modeling, semantic-layer, and data-management platform rather than a general-purpose AI productivity application. Users who do not work with enterprise data architecture, data warehouses, analytics engineering, governance, or related disciplines may not need its extensive modeling capabilities.

Pricing is another consideration. The Solo plan starts at €49 per month, while Enterprise starts at €1,200 per month billed annually. The Enterprise offering is therefore aimed primarily at organizations with substantial data-modeling and governance requirements.

Ellie AI is best understood as a specialized AI-powered enterprise data modeling and semantic data platform. Its combination of full-stack modeling, AI assistance, business glossaries, governance, collaboration, integrations, APIs, and MCP support makes it particularly relevant to organizations building structured data products and providing reliable business context to analytics and AI systems.