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Whitepaper Whitepaper
Universal Semantic Layer : The foundation for instant, actionable, agentic analytics
Deepest, Widest Semantic Data Models

Full Business Complexity.
Modeled in a Single Click.

10,000+ KPIs, 100+ dimensions, 1000+ measures in one high-performance semantic data model—built and deployed with ease

Key Takeaways

  • A unified semantic model used across the enterprise
  • Multidimensional models that scale without breaking
  • Production-ready AI grounded in semantic context
  • Lower cloud costs through price-performant models
semantic models

Demo

Universal Semantic Layer that powers every Agent, Chatbot & Dashboard

The Gap in Enterprise Analytics

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    Fragmented data and logic prevent a unified view of the enterprise

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    Traditional models fail to represent real-world business complexity

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    High-cardinality, high-grain analytics strain or break traditional systems

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    Metrics from legacy models cannot flow into LLMs or agents

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    Growing data volume or concurrency results in slower analytics

Semantic Data Models That Mirror Real-World Complexities

Ultra-wide

Model your entire business, not a
slice of it

  • Thousands of dimensions and measures in a single unified model
  • Cross-domain semantics (finance, sales, operations, supply chain, product)
  • No fragmentation across teams, tools or departments

Ultra-deep

Capture true business logic, not
surface-level metrics

  • Multi-level hierarchies and nested relationships
  • Time intelligence, complex calculations and derived semantics
  • Business logic once—consumed everywhere, consistently

High-grain multidimensional analytics

Handle the full breadth and depth of your analytical needs by capturing business complexities in a single model

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    Drill anywhere across 25+ levels

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    Support for recursive, alternate, unbalanced, ragged and parent-child hierarchies

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    Execute complex calculations instantly, no performance degradation

Build and deploy models effortlessly

One-click adaptive modeling to transform your data into ready-to-use semantic models in minutes

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    Auto-generated models that map to existing data tables without manual configuration

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    Point existing Power BI and Tableau dashboards to Kyvos models in one click

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    Continuously optimize models as query patterns evolve and data grows

Automated, API-first semantic models

Build and manage semantic models programmatically, with inbuilt governance and no manual overhead

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    End-to-end lifecycle automation, from data ingestion to deployment

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    Simplified model upgrades and user role management

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    Programmatic access via APIs, without duplicating logic

How Kyvos Powers Semantic
Data Modeling

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Adaptive
modeling

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Write-back

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Perspective
models

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Quick data modeling

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Full API support

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Single unified model accessed across BI tools

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Context-aware
analytics engine

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Persistent semantic
metadata

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Multi-language
query support

FAQs

Is Kyvos developer-friendly?
Absolutely. Kyvos supports code-based modeling, APIs, validation and CI/CD workflows, making it easy to integrate into modern data engineering practices.
Can we integrate Kyvos models with our custom applications?
Yes. Kyvos provides comprehensive APIs that allow you to connect any application or workflow to your semantic models—enabling custom applications, embedded analytics and programmatic model management without vendor lock-in.
How quickly can we deploy semantic models with Kyvos?
Production-ready models deploy in minutes through adaptive modeling. Simply point to your data sources. Kyvos auto-generates models, maps relationships and connects to your existing BI dashboards—no manual configuration required.
Is Kyvos suitable for AI and LLM use cases?
Yes. Kyvos provides a semantic data model that gives AI and LLMs access to governed business context rather than raw tables, improving accuracy and trust.
Can Kyvos’ semantic modeling make analytics faster?
Yes. Kyvos accelerates queries by automatically managing aggregations, materializations and using AI to suggest optimizations, even for extremely wide and complex semantic models.
How does Kyvos handle complex hierarchies and calculations?
Kyvos supports multi-level, recursive, ragged, parent-child and alternate hierarchies, along with complex and semi-additive calculations—without performance degradation.
Can a single semantic data model support the entire enterprise?
Yes. Kyvos supports one unified semantic data model across domains, teams and tools—eliminating fragmented models and duplicated business logic.
How is Kyvos semantic modeling different from that inside BI tools?
BI-native semantic layers struggle with scale, concurrency and complex KPIs. Also, they are isolated within BI tools, leading to rework and inconsistencies. Kyvos centralizes semantic logic outside BI tools and optimizes it for performance across all teams and tools.