Kloudgen Launches Semantiqa Snowflake Native App for Governed Semantic Models

Austin, TX April 16, 2026 — Kloudgen today announced the launch of Semantiqa, a Snowflake Native App designed to help enterprises automatically create governed semantic models and semantic layers directly inside Snowflake. Built for organizations preparing data for trusted AI, natural language analytics, and Snowflake Cortex workflows, Semantiqa reduces the manual effort required to turn fragmented warehouse data into consistent business meaning.

A native path to trusted enterprise AI

Enterprise AI initiatives often stall before users ever ask their first question because business definitions are scattered across dashboards, SQL files, spreadsheets, and institutional knowledge. Semantiqa addresses that gap by generating a governed semantic foundation where the data already lives: inside Snowflake.

The application is designed to help teams standardize metrics, map relationships, and expose trusted business definitions for AI-assisted analytics without creating a separate external modeling stack.

• Auto-creates governed semantic models from Snowflake metadata and workload context.
• Helps standardize metrics, dimensions, and relationships across business domains.
• Supports trusted natural language analytics and Cortex-ready semantic foundations.
• Reduces the time and effort typically required for manual semantic modeling programs.

Designed for Snowflake-native security

Semantiqa is built as a Snowflake Native App so enterprises can keep data, business logic, and semantic generation inside their Snowflake environment. This architecture is intended to reduce security friction and avoid unnecessary data movement while giving teams a faster path to governed AI readiness.

• Runs within the customer's Snowflake account.
• Preserves existing Snowflake governance and access controls.
• Avoids copying sensitive enterprise data into an external application layer.
• Supports faster evaluation through Snowflake Marketplace installation.

From semantic layer project to launch-ready foundation

Building semantic models manually can take weeks or months as data teams inspect schemas, reconcile metric definitions, identify join paths, and maintain model files over time. Semantiqa is built to compress that work by automating semantic discovery and generation for Snowflake environments.

For business teams, that means faster access to consistent answers. For data teams, it means fewer manual modeling cycles and a clearer path to enterprise AI adoption.

Availability

Semantiqa is available on Snowflake Marketplace. Snowflake customers can explore the listing, evaluate the application, and begin the process of deploying governed semantic intelligence inside their Snowflake environment.

About Kloudgen

Kloudgen builds Snowflake-native infrastructure for enterprise AI, semantic intelligence, and SQL performance optimization. Its products are designed to help organizations activate trusted data systems while keeping data inside the customer's Snowflake environment.