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Universal Semantic Layer : The foundation for instant, actionable, agentic analytics
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Data Interoperability

Data That Means the Same Everywhere

One semantic foundation for every data platform, BI tool, chatbot and agent—no plumbing, no rework, no lock-in

Key Takeaways

  • One logical, consistent view across AI, BI and data platforms—no vendor lock-in
  • Centralized semantic context defined and managed in one place
  • A single shared data language for trusted analytics everywhere
  • Interoperability that strengthens governance and control at scale
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The Interoperability Gap in Enterprise Analytics

Disconnected platforms and tools turn analytics ecosystems into silos, eroding consistency and confidence in insights

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    Different BI tools produce different answers to the same question

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    Metrics are redefined and re-modeled across teams and platforms

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    Semantic context is incomplete or fragmented

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    AI and BI don’t operate on the same data

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    Changes trigger long and costly rework, causing lock-ins

One truth powering all answers

Kyvos defines analytics logic once in a shared semantic foundation used by both BI and AI

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    Dashboards, notebooks, chatbots, agents - all query the same data, use the same logic

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    Metrics, calculations and hierarchies stay consistent everywhere

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    Switch or add tools without rework or duplication

Analytics decoupled from data platforms

Kyvos delivers platform-agnostic analytics that remain consistent as data platforms evolve—without duplication, rework or lock-in

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    Run analytics on one semantic data model, wherever your data lives—across on-prem and cloud environments

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    No replication, re-modeling or forced platform standardization

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    Add or migrate platforms without breaking analytics

Shared business meaning across the enterprise

Kyvos establishes a single, governed data foundation and data language, ensuring analytics remain aligned, trusted and consistent at scale

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    KPIs, dimensions, hierarchies and logic defined once

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    No metric drift across departments or tools

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    Same definitions, same results everywhere

Broader access without added risk

Kyvos delivers scalable governance that balances wide analytics access with centralized control

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    Every tool and team follow the same security and access rules

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    Sensitive data stays protected everywhere

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    Compliance stays intact as usage grows

How Kyvos Fits in Your
Analytics Stack

How Kyvos Delivers Data Interoperability

  • Unified semantic data model

    A single, enterprise-grade semantic foundation where all business metrics, dimensions, hierarchies, calculations and security rules are defined once and reused consistently across BI tools and AI applications.

    Unified semantic data model

  • Full API support

    Exposes APIs for external applications to query and retrieve analytics data

    Full API support

  • MCP server

    Enables external AI agents and applications to interact with Kyvos using the Model Context Protocol

    MCP server

  • Named BI connectors

    Provides built-in connectors for common enterprise BI tools

    Named BI connectors

  • Role-based access control

    Role-based access control ensures that users see only the data, metrics and actions relevant to their role—consistently across all BI tools and analytics experiences.

    Role-based access control

  • LangChain connectivity

    Connects Kyvos with LangChain to support AI-driven workflows and data exploration

    LangChain connectivity

  • Multi-language query support

    Accepts queries written in SQL, MDX, DAX and other standards

    Multi-language query support

  • Cloud-native architecture

    Kyvos runs across multiple nodes instead of relying on a single server. As data volumes, users or query complexity increase, Kyvos can scale horizontally by adding more nodes, rather than resizing a single machine.

    Cloud-native architecture

  • Spark SQL or SSAS connectors

    Allows BI and analytics tools to query Kyvos through Spark SQL and Microsoft SSAS interfaces

    Spark SQL or SSAS connectors

FAQs

How does Kyvos enable interoperability?
Kyvos semantic layer provides one unified data foundation that works with multiple BI tools, LLMs and AI agents. This ensures consistent metrics, hierarchies and business logic across every analytics experience.
Which BI tools can connect to Kyvos?
Kyvos works natively with Tableau, Power BI, Excel, Strategy, Looker and other BI tools through built-in connectors and standard interfaces.
Can AI agents and LLMs use Kyvos?
Yes. Kyvos supports Model Context Protocol and LangChain connectivity, allowing AI agents and LLM-based applications to query governed data directly.
Do we need to copy data into Kyvos to make tools work together?
No. Kyvos analyzes data where it lives in your warehouses and lakehouses without replication or re-modeling.
How does Kyvos prevent metric drift across tools?
All KPIs and calculations are defined once in Kyvos and reused everywhere, ensuring users and AI systems get the same answers in every tool.
What happens if we add or replace BI tools?
Tools can be added, replaced or run in parallel without rebuilding models, logic or reports because analytics are decoupled from specific tools.
Can Kyvos work across hybrid and multi-cloud environments?
Yes. Kyvos maintains consistent analytics across on-prem, hybrid and multi-cloud data platforms.
Is security maintained when tools interoperate through Kyvos?
Yes. Kyvos enforces role-based access control centrally, so every tool and team follow the same security and data access rules.

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