ekai

ekai is an AI-powered solution designed for automated semantic modeling, serving as a critical bridge between data warehouses and enterprise AI agents. Its primary function is to extract knowledge from business experts and transform it into governed semantic models and production-ready dbt pipelines. The tool ensures that data definitions are accurate and verified before any information reaches end users.

The operation of ekai is based on a structured process that prioritizes meaning over structure. First, the platform performs data profiling directly at the source, whether on a local computer for testing or across large-scale cloud infrastructures. It then interacts with specialists to capture the context that data schemas cannot explain on their own, such as specific KPI definitions or business exceptions. This technology leverages Large Language Models (LLMs) to facilitate communication, allowing experts to validate inferences and resolve ambiguities using natural language.

Among ekai’s most notable technical capabilities are:

• Structure Inference: Automatically identifies entities, keys, and relationships from data profiles, eliminating the need to manually write YAML files.
• Generation and Verification: Creates dbt code, schema tests, technical documentation, data lineage, and business glossaries. All generated content is executed and reconciled against actual business facts to ensure accuracy.
• Security Architecture: The application runs within the client's environment, either as a Snowflake Native App or through dedicated deployments on AWS, Azure, or GCP. This ensures that data privacy remains intact, as metadata and logs never leave the company's security perimeter.
• Multi-platform Compatibility: Provides support for Snowflake, Databricks, BigQuery, Azure Synapse, PostgreSQL, ClickHouse, and DuckDB.

This tool is particularly valuable for data teams that need to streamline the creation of semantic layers, avoiding manual processes that traditionally require months of work. By centralizing definitions in a Git-versioned business glossary, ekai enables analysts and AI agents to query reliable and consistent information across the entire organization. The results are portable, standardized artifacts that facilitate long-term governance and ensure that AI-generated answers are both auditable and accurate.