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Advanced modeling

Model without compromise.
Any business complexity.
Any data scale.

Other platforms force you to choose between modeling business complexity and maintaining performance. Kyvos doesn't.

Quick Read

  • Model the full complexity of your business use cases
  • Capture complex hierarchies, relationships, calculations, and business rules
  • Analyze at every level of detail, from KPIs to transaction-level data
  • Power BI and AI with rich, business-aware semantic models
  • Build, deploy, and evolve semantic models with minimal effort
  • Replace rigid legacy data models with flexible, cloud-native semantic models
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Legacy data models limiting your analytics?

Enterprise use cases are complex by nature. Traditional approaches force teams to oversimplify how they model their business, limiting analytical depth and flexibility.

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Complex business use cases get reduced to simpler models, limiting analytical depth

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Traditional models capture only part of the use case, compromising the quality of analytics

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Limited support for complex hierarchies, relationships, calculations, and business rules

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Traditional data models weren’t designed to support modern AI analytics

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As data, users, and analytical complexity grow, maintaining performance becomes harder

Ultra-wide and deep semantic models

Model the full complexity of your business use cases, not just a limited view or surface-level metrics

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    Thousands of dimensions and measures in a single semantic model

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    Recursive, alternate, unbalanced, ragged, and parent-child hierarchies

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    Complex relationships, calculations, and business rules

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    Multiple business domains and analytical perspectives in a single model

Analytics at every level of detail

Analyze from high-level KPIs to the most granular business detail

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    Drill from summary to transaction-level detail across 25+ hierarchy levels

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    Slice and dice across any combination of dimensions and hierarchies

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    Support complex calculations and comparisons at every level of detail

Retire legacy platforms. Modernize with Kyvos.

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    Migrate existing business logic without rebuilding from scratch

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    Scale beyond the performance and architectural limits of legacy platforms

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    Power both BI and AI with the same semantic models, on-prem and in the cloud

Kyvos

Semantic Layer

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-generate models from existing data tables

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

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    Models optimize continuously as data and query patterns evolve

Automated, API-first semantic models

Build, manage, and evolve semantic models programmatically—with minimal manual effort

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    Automate the model lifecycle from creation to deployment

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    Simplify model updates, upgrades, and role management

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    Access semantic models through APIs without duplicating business logic

How Kyvos fits
in your analytics stack

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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.