The Trusted Semantic
Foundation for Enterprise AI
Autonomously create cross-domain semantic intelligence at enterprise scale.
Built with design partners across financial services and enterprise technology.
Creating Semantic Models Is Easy to Start.
Hard to Scale.
Enterprise AI doesn't just need a semantic layer.
It needs a governed semantic system that continuously evolves.
That's Semantiqa.Cross-Domain Semantic Models.
Autonomous. Native. In One Day.
Semantiqa builds the trusted semantic foundation for enterprise AI across your databases, schemas and business domains — inside your own Snowflake account.
Autonomous
Semantiqa discovers the tables, relationships, metrics and business terms that matter and builds the model for you. Your experts review and refine instead of starting from a blank page.
Cross-Domain
One semantic model that connects Sales, Finance, Product, Support, Operations and more — so questions that span the business get complete, consistent answers.
Snowflake Native
Runs as a Snowflake Native App and creates native Snowflake Semantic Views. Zero data egress — your data never leaves Snowflake.
Enterprise-Owned
Your data, your semantic model, your rules. The semantic estate lives in your environment under your governance and access controls.
Semantiqa Engineers the Semantics.
Horizon Context governs and activates enterprise context. Semantiqa automates the engineering of the semantics within that context.
From Months of Semantic Engineering
to One Day
Build once. Govern continuously. Evolve as your enterprise changes.
From Semantic Creation to
Enterprise SemanticOps
Semantiqa turns semantic meaning into a governed, versioned and continuously operated enterprise asset.
One Source of Truth.
Controlled by Your Business.
Building the model is the start. Semantiqa keeps it right as the business changes — with your experts approving every change.
The enterprise decides what changes, when it is published, and where it is deployed.
Built on Snowflake.
Engineered for Enterprise Scale.
Semantiqa extends Snowflake’s native foundation across data domains, environments and AI experiences — without moving data outside Snowflake.
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Scale Across Data Domains
Connect semantics across databases, schemas and business domains.
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Scale Across Environments
Version, validate and promote approved semantics from DEV → TEST → PROD.
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Scale Across AI & Analytics
Reuse the same trusted semantic context across Cortex, agents, BI and applications.
One semantic foundation. Built once. Reused across the enterprise.
Built for Real Enterprise
Semantic Complexity
Built by Kloudgen
Kloudgen is a semantic engineering company focused on making enterprise data understandable and usable by AI. Semantiqa is our Snowflake-native platform for autonomously building, governing and maintaining enterprise semantic models.
Our mission: make enterprise business meaning reusable across analytics, AI agents and applications — without moving data outside its native data cloud.
Questions We Always Get Asked
Why do I need Semantiqa if I already use Snowflake Horizon Context and Semantic Views?
Snowflake Horizon Context provides the governed context environment for enterprise data and AI, while native Semantic Views provide the semantic assets AI can consume. Semantiqa complements both by automating the semantic engineering required to discover, create, enrich, validate and continuously maintain those semantic assets across schemas and business domains. Semantiqa publishes and operates them natively within Snowflake rather than creating a competing external context layer.
What does Kloudgen build for Snowflake?
Kloudgen builds Semantiqa, a Snowflake-native platform that creates, manages, validates, and publishes governed semantic models and semantic registries for Snowflake.
What is a Snowflake semantic layer and why does it matter?
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.
How does Semantiqa make Snowflake AI more reliable?
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.
Does data leave Snowflake when using Semantiqa?
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.
Why do I need Semantiqa if I already use Snowflake Semantic Views?
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.
How quickly can Semantiqa create cross-domain semantic intelligence?
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.
Does Semantiqa run natively inside Snowflake?
Yes. Semantiqa is a Snowflake Native App. It runs entirely inside your Snowflake environment and works with your existing governance and access controls.
Does customer data ever leave Snowflake?
No. Data stays inside your Snowflake account at all times. Semantiqa inherits your existing RBAC, row-level security, and masking policies automatically.
How does Semantiqa keep semantic models governed as the business changes?
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.
How does Semantiqa work with Cortex AI and enterprise agents?
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.
Build Your Cross-Domain
Semantic Model
in One Day
See Semantiqa build, validate and promote a governed semantic model — natively, inside your own Snowflake account.