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The Platform

Built for Enterprise Context at Scale

Six deeply integrated capabilities that work together through a single shared context model—making your AI trustworthy, your governance automatic and your data products first-class.

Platform Capabilities

Six Integrated Capabilities

Contivra is not a collection of tools. It is a unified platform where every capability is designed to work together through a single context model.

Conversational Discovery

Find, understand and trust any enterprise data asset through natural language. Powered by semantic search, knowledge graph traversal and AI ranking.

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Enterprise Context Layer

The intelligence layer connecting business context, semantic relationships and enterprise knowledge. The foundation that makes enterprise AI trustworthy.

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Governance

Policy-driven data governance with automated stewardship, quality monitoring, lineage tracking and compliance reporting—embedded into every workflow.

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Semantic Intelligence

A living semantic layer that encodes business definitions, domain models and enterprise terminology so every system speaks the same language.

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Data Products

First-class data product management with versioning, SLAs, subscriptions and quality contracts. Build once, consume everywhere, govern always.

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AI Agents

Autonomous agents that discover, classify, document, govern and build data products—continuously adapting to your enterprise as it evolves.

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Conversational Discovery

Contivra's discovery engine connects semantic search, knowledge graph traversal and AI ranking into a single conversational interface. Find any data asset across your estate—tables, reports, APIs, models, pipelines—in plain language. Results are ranked by trust, relevance and governance status, not just keyword match.

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Enterprise Context Layer

The foundational intelligence layer of the platform. It maintains a rich property graph of every asset, its business meaning, its relationships, its owners and its quality—making this context instantly available to every AI interaction, every governance check and every data product.

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Governance

Policy-driven governance embedded into every workflow. Define data domains, ownership hierarchies, classification taxonomies and access policies once. AI Agents enforce them automatically across discovery, cataloging, data product publication and consumption.

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Semantic Intelligence

A living semantic layer that goes beyond static glossaries. Contivra maintains business definitions, domain-specific terminology, metric definitions and cross-system concept mappings—ensuring that the word 'revenue' means the same thing to your AI model as it does to your CFO.

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Data Products

First-class data product management. Define products with contracts, quality SLAs, versioning and subscription semantics. AI Agents help build, document and publish products. Consumers subscribe and receive certified, governed data through a consistent interface.

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AI Agents

Autonomous agents that continuously discover, classify, document, profile, govern and build across your data estate. They surface anomalies, enforce policies, generate documentation and propose improvements—reducing manual data engineering toil at enterprise scale.

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Key Differentiator

The Enterprise Context Layer

Every AI platform needs intelligence underneath it. Contivra's Enterprise Context Layer is the semantic, relational and institutional intelligence layer that makes enterprise AI actually trustworthy.

Business Relationships

Models how every domain concept—customer, product, order, contract—relates across the enterprise, not just within a single system.

Semantic Relationships

Captures synonyms, hierarchies, parent-child concepts and cross-domain equivalences in a living semantic fabric.

Knowledge Graph

A Neo4j-powered property graph connecting assets, definitions, owners, policies, quality and lineage into one traversable model.

Enterprise Memory

Retains institutional knowledge—decisions, classifications, steward annotations—so context accumulates rather than evaporates.

Lineage & Impact

End-to-end column-level lineage from raw source to AI model output. Instantly assess the blast radius of any schema change.

AI Context Layer

Surfaces structured, grounded context to LLMs at query time—preventing hallucinations and ensuring answers are traceable to governed data.

Enterprise Context Layer Diagram

Architecture visualization coming soon

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