Agentic AI

Every AI has a model. Only ours has complete context.

Activate AI agents with the data quality, context, and governance that make them truly useful.

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5 barriers holding back your AI

Most AI initiatives never make it to production. AI doesn’t fail because of bad algorithms. It fails because of bad data. Without accuracy, context, and governance, even the most advanced models deliver flawed insights and erode trust. The result? Wasted AI investments, frustrated teams, and unrealized business value.

Visual stat of 60% of AI projects unsupported by AI-ready data will be abandoned through 2026.

Teams waste hours searching for datasets while relevant information remains hidden across disconnected systems.

Without lineage visibility and quality checks, no one knows if the data feeding AI models is accurate or current.

Technical metadata alone isn’t enough. AI agents need semantic understanding and business definitions to be truly useful.

Without proper controls, AI projects create compliance risks and can’t scale beyond departmental pilots.

Fragmented tools and manual data preparation prevent organizations from moving AI initiatives into production.

Readiness without the stewardship bottleneck

Data stewardship is the work that never gets done. Catalogs fall behind the moment they go live, ownership drifts, definitions go stale, and documentation sits on someone’s to-do list indefinitely. The Data Steward Agent closes that gap by continuously creating documentation, assigning ownership, and keeping metadata current using natural language, without forms, SQL, or manual follow-up.

Full documentation, without the effort

Generate descriptions and glossary terms, fill documentation gaps, and rewrite existing content for clarity and consistency.

Scale governance without scaling headcount

Automatically assign ownership, apply classifications, and keep definitions consistent across every domain.

Know the impact before you act

Make changes with confidence. Surface dependencies, spot what breaks, and reduce risk across pipelines, reports, and consumers.

Data stewardship, without the manual work

Today, stewardship depends on the right people having enough time. That is rarely the case.

The Data Steward Agent removes the dependency. Unlike generic AI tools, it works within the context of your catalog, lineage, and existing definitions, so every suggestion and update is grounded in how your data actually works.

The outcome is an organization where:

The catalog does not fall behind as data volumes grow.
Governance costs stay flat even as complexity increases.
The semantic layer is complete and ready when the business needs it.

	Before	After
Documentation	Written manually, when someone has time	Generated automatically from context
Ownership	Tracked in spreadsheets, assigned via Slack, Teams and Email	Assigned by the agent, always current
Metadata	Incomplete, inconsistent, out of date	Continuously updated across every data source/asset
Governance	Reactive, ticket-driven, person-dependent	Proactive, automated, running at scale

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Why we're different

Actian delivers the complete foundation for agentic AI. For the first time, your AI agents can access data with the semantic context, quality assurance, and governance they need to deliver real business value.

Knowledge graph-powered catalog

Our graph-based catalog delivers semantic search and automatic relationship discovery that traditional data catalogs can't match. AI agents get contextually rich responses.

Integrated data quality & observability

Unlike point solutions, Actian ensures every dataset feeding your AI is accurate, complete, and compliant before it reaches your models.

Ask AI + MCP server

Ask questions in natural language to find data, definitions, and insights. MCP Server securely connects AI assistants and agents to trusted context.

Key agentic AI capabilities

Federated knowledge graph
Connect distributed data sources into a unified semantic layer that AI agents can query intelligently.

Semantic enrichment for context
Enrich every dataset with business glossaries so AI learns the right context automatically.

Graph-based lineage
Leverage graph-based data lineage to ensure every AI decision can be traced, audited, and trusted.

Continuous quality and observability
Keep every dataset accurate, complete, and compliant before it reaches your models with real-time monitoring.

Governed data products
Define and manage data products with built-in contracts, ownership, and access controls.

Automated policy enforcement
Embed governance rules that enforce automatically, so compliance scales with your AI initiatives.

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Intelligent data discovery

“Show me all datasets related to customer churn in the last quarter”

AI agents query the Actian MCP Server and return semantically relevant datasets with business context, lineage, and quality scores in seconds.

Automated documentation

70% less manual effort as AI automatically writes table, column, and schema documentation in business terms your entire organization can understand.

Natural language analytics

Data access for everyone, not just SQL experts. Business users ask questions in plain language and get accurate answers backed by governed, quality-assured data.

AI glossary building

Extract business terms automatically from BI dashboards and reports to build living glossaries that keep AI agents aligned with your business language.

Unstructured data intelligence

Catalog PDFs, images, audio, and video to unlock “dark data” and give AI agents access to your complete information landscape.

Custom AI agent development

Use Actian’s MCP Server and APIs with any LLM to build specialized agents that automate catalog actions, enforce governance, and accelerate data workflows.

Add Actian to your agentic workflows today

Maintain a governed catalog automatically with the Data Steward Agent.
Autonomously discover data across your entire ecosystem with AI-powered semantic search.
Validate and act on trusted data with integrated quality monitoring and observability.
Enable real-time observability with automated incident workflows and anomaly detection.
Create conversational interfaces that connect any LLM to your governed data catalog.
Build personalized AI agents using our MCP Server and APIs to automate catalog actions.

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Trusted by data and AI leaders

Organizations worldwide rely on Actian to power their data and AI initiatives with the governance, quality, and semantic intelligence needed for production-scale success.