Description
ekai is a tool designed to automate semantic modeling for enterprise data warehouses. It reads your Snowflake warehouse, learns how your team defines things, and writes semantic models and dbt code for you. This process, which typically takes a team three to six months, can be completed by ekai in just a few hours. The tool profiles your data in place, captures domain expert knowledge, and generates governed semantic models and production dbt pipelines inside your Snowflake account.
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ekai connects to your data warehouse, generates AI-assisted Entity Relationship Diagrams (ERDs), builds production-ready dbt projects, and publishes semantic models to platforms like Snowflake Intelligence and Cortex Analyst. It automates the discovery and entity modeling process, ensuring that every definition is validated against live warehouse data before anything is shipped.
The tool is designed for data teams, domain experts, and business users. Data teams benefit from semantic models and dbt pipelines without lengthy modeling engagements. Domain experts provide input in plain language, focusing only on what the data cannot explain. Business users can ask questions in chat and receive answers that carry consistent definitions.
ekai supports multiple platforms including Snowflake, Databricks, BigQuery, Azure Synapse, and PostgreSQL. It offers flexible deployment options such as Self Hosted, Snowflake Native App, and Ekai SaaS, ensuring data security and compliance. The tool generates open, portable artifacts like dbt projects, YAML semantic views, and JSON catalogs, which are versioned to your GitHub, GitLab, or Bitbucket.
Pricing options include a starter package with 5 semantic models and 75 tables, a standard subscription with 36 semantic models and 350 tables, and a premium offering with unlimited semantic models. ekai is built to run inside your environment, ensuring that your data never leaves your account.
- CategoryAI SQL & Database Tools
- Pricing ModelSubscription
- DeploymentSelf Hosted, Snowflake Native App, Ekai SaaS
- PlatformsSnowflake, Databricks, BigQuery, Azure Synapse, PostgreSQL
ekai's Core Features
Automated semantic model generation
Domain expert knowledge capture
Production-ready dbt project generation
AI-assisted ERD discovery
Definition validation against live data
Publishing to Snowflake Cortex Analyst
Runs inside customer Snowflake account
Supports multiple data platforms
How to use ekai?
Connect: Link your data warehouse
Profile: Analyze your data in place
Capture: Gather expert knowledge
Generate: Create semantic models and dbt code
Validate: Ensure definitions match warehouse data
Publish: Deploy models to intelligence platforms
ekai's Use Cases
- Semantic Model Generation
- Domain Knowledge Capture
- Data Validation
- ERD Discovery
- Production-Ready Code
