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.
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.
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.
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.
Model Context Protocol (MCP) server
Connect any AI assistant directly to your data catalog. Agents query our MCP Server to retrieve datasets, semantic relationships, and business definitions.
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.
Get started with agentic AI use cases
Start delivering value today.
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
- 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.
Trusted by data and AI leaders
A Unified Platform for Data and AI
- Understand how observability and governance transform your data into an AI-ready asset.
- Explore AI agents and workflows that automate data quality and compliance.
- See how visual lineage and monitoring prevent costly AI failures.
- Discuss pricing and implementation for your specific use cases.
Understand how observability and governance transform your data into an AI-ready asset.Book Your Personalized Demo
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