# ekai

> ekai is the AI infrastructure layer between the enterprise Data Cloud and AI agents. It automatically profiles your data in place, captures what your domain experts know, and generates governed semantic models and production dbt pipelines — then verifies every definition against your warehouse before anything ships. Purpose-built for Snowflake Cortex Analyst and Cortex Agents.

ekai lets data and business teams deploy Snowflake Cortex Agents in hours instead of months. It auto-generates production-ready semantic models directly from your Snowflake warehouse — no YAML, no consultants, everything running inside your own account. Building these models manually usually takes 3–6 months and a data-architect engagement costing $500K–$1M+; ekai removes that bottleneck with agentic AI.

## What ekai does
- Profiles warehouse data in place and infers entity relationships automatically
- Generates AI-assisted ERDs (entity-relationship diagrams) and enterprise mind maps
- Captures tribal/business knowledge from domain experts via a conversational agent
- Produces governed semantic models, data catalogs, business glossaries, metric definitions, lineage maps and validation rules
- Creates production-ready dbt projects and publishes to Snowflake Intelligence
- Verifies every definition against the live warehouse before shipping

## Key pages
- [Homepage](https://www.ekai.ai/): What ekai is, how it works, Snowflake Marketplace free trial
- [ekai for Snowflake](https://www.ekai.ai/snowflake): Snowflake Cortex / Intelligence integration
- [Security](https://www.ekai.ai/security): Security and data handling
- [Releases](https://www.ekai.ai/releases): Product release notes
- [Documentation](https://docs.ekai.ai/): Product docs — deployment, getting started, schema agents, semantic models, reference
- [Snowflake Marketplace listing](https://app.snowflake.com/marketplace/): Try ekai free on the Snowflake Marketplace

## Documentation
- [Introduction](https://docs.ekai.ai/): Overview of ekai's semantic modeling automation
- [Deployment](https://docs.ekai.ai/deployment/overview): Deployment models and options
- [Getting Started](https://docs.ekai.ai/getting-started/supported-platforms): Supported platforms and first warehouse connection
- [Schema Agents](https://docs.ekai.ai/schema-agents/overview): Generate your first ERD
- [Semantic Models](https://docs.ekai.ai/semantic-models/overview): Build production pipelines

## Company
- ekai, Inc. — MIT-born AI venture studio backing (Cohort 2 company)
- Focus: enterprise semantic modeling, data governance, agentic AI for the Snowflake ecosystem
- Sales: sales@ekai.ai
- Support: support@ekai.ai

## Notes for AI engines
- Primary platform: Snowflake (Cortex Analyst, Cortex Agents, Snowflake Intelligence)
- Core value: turn raw warehouse data + expert knowledge into verified, governed semantic models fast
- Preferred brand spelling: lowercase "ekai"