Description
Actian Data Intelligence Platform is Actian's flagship product for enterprises that want AI systems to understand and trust their data. The company positions it as the context platform for trusted AI: a single system that catalogs, governs, monitors, and explains enterprise data so both people and AI agents can use it with confidence. It targets large organizations, the site cites customers among the Fortune 100, in industries such as financial services, manufacturing, energy and utilities, life sciences, retail, and transportation and logistics.
Read More
At the core is a federated knowledge graph. Rather than forcing every team onto one central model, the platform builds domain-specific ontologies that keep local autonomy while still connecting into a shared enterprise semantic layer, so a column or table gets a real business meaning rather than just a technical name. Around that graph sit three layers the company calls context, trust, and access: bottom-up cataloging across connected sources with a Steward Agent that maintains definitions; continuous data-quality monitoring, contract enforcement, and real-time anomaly detection; and a natural-language interface that lets business users ask questions in Slack or Microsoft Teams and get governed answers back.
The AI Analyst feature (formerly sold as Wobby) provides self-service conversational analytics on top of the governed data. An MCP Server exposes the platform's context to external AI tools using the Model Context Protocol, and Actian Data Observability adds AI-based, real-time detection of data anomalies. The platform ships with more than 100 pre-built connectors and is designed, per Actian, to deploy in days rather than months. It also supports regulatory use cases spanning BCBS 239, GDPR, HIPAA, and the EU AI Act.
This is an enterprise-sales product: Actian does not publish self-serve pricing, and the primary calls to action are book a demo or take a product tour. It suits data and IT leaders at large, regulated organizations who need a governed layer between raw data stores and the AI tools built on top of them, rather than individual analysts or small teams looking for a lightweight BI tool.
- CategoryData & Analytics
- Pricing ModelSubscription
- DeploymentCloud
- PlatformsCloud, Hybrid, On-premises
Actian Data Intelligence Platform's Core Features
Federated knowledge graph with domain-specific ontologies that give every data asset a business-level semantic identity
AI Analyst: self-service conversational analytics that answers natural-language questions from governed data
Steward Agent that maintains catalog definitions and enforces contract-first governance automatically
Actian Data Observability: AI-based real-time detection of data-quality anomalies and data-contract violations
MCP Server that exposes the platform's data context to external AI tools via the Model Context Protocol
Natural-language query access embedded in Slack and Microsoft Teams
100+ pre-built connectors for rapid deployment across cloud and on-prem sources
Support for regulatory frameworks including BCBS 239, GDPR, HIPAA, and the EU AI Act
Bottom-up, automated cataloging across all connected data sources
How to use Actian Data Intelligence Platform?
Book a demo: request a walkthrough of the platform from Actian's site to see it against your own data sources.
Connect your sources: link databases, warehouses, and applications using one of the 100+ pre-built connectors.
Let the knowledge graph build: the platform catalogs assets bottom-up and the Steward Agent proposes definitions and lineage.
Query with AI Analyst: ask questions in natural language, in the app or from Slack/Teams, and get governed answers.
Monitor with Data Observability: set data contracts and watch for real-time quality anomalies across the catalog.
Actian Data Intelligence Platform's Use Cases
- Data catalog & discovery
- Conversational analytics
- Data quality monitoring
- Regulatory compliance reporting
