The Trusted Semantic Foundation
for Enterprise AI

Kloudgen builds Semantiqa, a Snowflake-native platform that creates, manages, validates, and publishes governed semantic models and semantic registries for Snowflake.

A Snowflake semantic layer defines the canonical meaning of business metrics, dimensions, and relationships. Without it, data teams, business users, and AI systems can query the same Snowflake data and return different answers. Semantiqa creates and governs this layer automatically.

Semantiqa turns Snowflake metadata, query history, documents, and governance context into reusable semantic models. That gives Snowflake AI, natural language analytics, and dashboards approved metrics, relationships, and business context.

No. Semantiqa is built as a Snowflake Native App and runs inside your Snowflake environment. Data stays in your account and the application inherits your existing governance, RBAC, masking, and security policies.

Snowflake's native Semantic Views are the foundation Semantiqa builds on, not a replacement for it. Semantiqa autonomously creates and governs those Semantic Views across many schemas and business domains at once, then keeps them versioned and promotable across environments — work that's manual and hard to scale one Semantic View at a time.

Semantiqa can build governed, cross-domain semantic intelligence across your selected schemas and domains in as little as one day — compared to months of manual modeling.

Yes. Semantiqa is a Snowflake Native App. It runs entirely inside your Snowflake environment and works with your existing governance and access controls.

No. Data stays inside your Snowflake account at all times. Semantiqa inherits your existing RBAC, row-level security, and masking policies automatically.

Every change goes through human review, conflict resolution, and versioning before it becomes the active source of truth. Approved changes can then be audited, compared, and promoted across environments without rebuilding the model.

Semantiqa's governed semantic intelligence powers Cortex AI, AI agents, analytics, and enterprise applications alike — so the same trusted business meaning is reused across every experience, not rebuilt for each one.