YourEnterpriseData,InFullContext
Contivra transforms fragmented enterprise data into trusted AI intelligence through conversational discovery, governance, semantics, context and data products.
Enterprise AI Needs Enterprise Context
Most enterprise AI initiatives fail within 18 months. The root cause is almost never the model—it is the missing context layer beneath it.
Data Silos
Critical business data lives in hundreds of disconnected systems, preventing AI from forming a coherent picture of your enterprise.
Missing Business Context
Raw data without business meaning is noise. AI models need to understand relationships, definitions and domain knowledge—not just tables.
Poor Governance
Without lineage, quality scores and access controls, AI outputs cannot be trusted or audited. Compliance exposure follows.
Disconnected Metadata
Metadata fragmented across catalogs, wikis and spreadsheets means AI can never reliably discover, understand or reason over enterprise assets.
Lack of Trust
Teams reject AI-generated insights when they cannot trace how a conclusion was reached back to governed, authoritative data sources.
And much more holding your enterprise AI back
How Contivra Solves This
Everything through AI Conversation
Every capability in Contivra is accessible through natural language. No portals to navigate. No tools to switch. One conversation surface for every data workflow.
"Show me all datasets related to customer churn across our enterprise."
Conversational discovery surfaces every relevant asset—tables, reports, APIs, models—ranked by trust and context.
"What does ARR mean in the Finance domain vs. the SaaS domain here?"
Semantic Intelligence resolves ambiguity using your enterprise knowledge graph, not generic definitions.
"Who owns this dataset, what are its quality scores, and who has accessed it?"
Governance metadata surfaces through conversation—no portal switching, no ticket queue.
"Create a certified data product from the orders and customer tables for the Growth team."
AI Agents assemble, document and publish data products following your governance policies automatically.
"Subscribe me to the Revenue data product and alert me when quality drops below 95%."
Analysts, scientists and applications consume trusted data products through a single, governed interface.
"Run my weekly lineage impact report and flag any schema changes that break downstream models."
Autonomous AI Agents monitor, maintain and evolve your data estate—continuously and at enterprise scale.
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.
Enterprise Context Layer
The intelligence layer connecting business context, semantic relationships and enterprise knowledge. The foundation that makes enterprise AI trustworthy.
Governance
Policy-driven data governance with automated stewardship, quality monitoring, lineage tracking and compliance reporting—embedded into every workflow.
Semantic Intelligence
A living semantic layer that encodes business definitions, domain models and enterprise terminology so every system speaks the same language.
Data Products
First-class data product management with versioning, SLAs, subscriptions and quality contracts. Build once, consume everywhere, govern always.
AI Agents
Autonomous agents that discover, classify, document, govern and build data products—continuously adapting to your enterprise as it evolves.
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
A Layered Platform Architecture
Contivra is built on a proven, enterprise-grade architecture that separates concerns cleanly while enabling deep integration across every layer.
Full Architecture Diagram
High-resolution architecture visualization coming soon
Enterprise data sources: Snowflake · Databricks · BigQuery · Redshift · PostgreSQL · Oracle · SAP · Salesforce · dbt · Kafka · and more
One Platform, Every Role
Contivra is designed so that every enterprise data persona—from executives to administrators—experiences a platform built for their specific workflows and outcomes.
Executives
Trusted AI, board-ready
Get a real-time view of data health, AI readiness and governance posture across the enterprise. Make strategic decisions backed by certified, trusted intelligence.
Enterprise Architects
Platform clarity at scale
Model the full enterprise data landscape, define semantic standards and govern the architecture that downstream AI systems depend on.
Analysts
Self-serve with confidence
Discover, understand and consume certified data through conversation. No ticket queues, no tribal knowledge—just trusted data, instantly.
Data Stewards
Governance at the speed of AI
AI Agents handle routine classification, documentation and quality monitoring—freeing stewards to focus on policy, domain knowledge and exception management.
Data Scientists
Models on trusted foundations
Access governed, lineage-tracked, semantically enriched datasets. Know exactly what you're training on and prove it to auditors.
Data Product Owners
Build once, trust always
Design, publish and manage data products with built-in contracts, SLAs and quality guarantees. Your consumers get exactly what they subscribed to.
Platform Administrators
Control without complexity
Manage access, monitor platform health, configure governance policies and scale the context layer across the enterprise from a single control plane.
Not Just a Better Catalog
Traditional data catalogs were designed to index assets. Contivra is designed to create trusted enterprise AI. That requires an entirely different architecture.
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Enterprise AI?
See how Contivra transforms your fragmented enterprise data into a foundation for AI you can actually trust.