Make AI smarter with trusted data
Fuel every model with governed, contextualized, and high-quality data for trusted outcomes.
Why AI-ready data matters
of organizations don’t have or are unsure if they have the right data management practices for AI
Gartner, February 20251
of executives ranked lack of trust as a top challenge to realizing value from AI
PWC, July 20252
of senior business leaders said their organization’s AI adoption would be faster if they had stronger data infrastructure
EY, December 20243
Successful AI requires quality data
AI doesn’t fail because of bad algorithms. It fails because of bad data. Without accuracy, context, and governance, even the most advanced models can deliver flawed insights and erode trust.
That’s why the real foundation of AI success isn’t the model. It’s the data, and that data needs to be complete, compliant, and connected across your business.
Actian is shaping the future of business with AI-ready data that’s trusted, flexible, and easy to use. With federated knowledge graphs, graph-based lineage, governed data products, and continuous observability, we give your AI models the data foundation they need to be trusted, compliant, and scalable.
Key AI-ready requirements
Feed AI models and agents with meaning. A business glossary and semantic layer enrich datasets with definitions, relationships, and business context.
Trace every dataset into and out of AI models. Understand how data transforms, flows, and impacts downstream applications with visibility.
Monitor all enterprise data in real time, with anomaly detection and quality scoring, ensuring AI systems consume only validated inputs.
Accelerate AI initiatives with pre-built, reusable data products defined by contracts that set usage, compliance, and quality guarantees.
Break down silos with a connected data platform that lets AI systems discover, access, and trust data across the enterprise.
Ensure compliance across systems. Apply governance rules automatically to enable fast AI development without introducing risk.
Actian: Your partner for AI‑ready data
Actian Data Intelligence Platform gives your AI systems the quality data foundation needed for reliable outputs, without adding risk or complexity. Powered by a federated knowledge graph, it offers automated data lineage and continuous quality monitoring. This supports AI initiatives so you can scale with confidence and speed.
The platform delivers:
Knowledge graph architecture
AI systems can discover and access data across organizational boundaries while maintaining governance.
Graph-based lineage tracking
See exactly what data feeds into AI systems and how it changes over time.
Ready-to-use data products
Benefit from comprehensive contracts that specify usage parameters and quality guarantees for AI consumption.
End-to-end data observability
Continuously monitor all data—not samples—with ML-driven anomaly detection, ensuring AI models receive validated, accurate data.
Automated compliance enforcement
Keep AI projects audit-ready by embedding governance policies directly into data pipelines. Ensure every dataset feeding models meets regulatory and internal compliance standards, without slowing innovation.
Cloud-agnostic scalability
Deploy and scale AI workloads seamlessly across any cloud or hybrid environment. Rely on a flexible architecture to support growth while maintaining performance, security, and governance.
Build the foundation for AI success
AI doesn’t thrive on more data. It thrives on the right data. To deliver reliable outcomes, every model needs context, traceability, and trust built in from the start.
With Actian, you can enrich datasets with business meaning, govern every flow with transparent lineage, and ensure accuracy through continuous observability. This enables AI insights you can stand behind. With the Actian Data Intelligence Platform, you can:
Give AI the context it needs
Enrich every dataset with a business glossary and knowledge graph so AI learns the right context.
Govern models with smart lineage
Leverage graph-based data lineage to ensure every AI decision can be traced, audited, and trusted.
Trust every dataset that fuels AI
Continuous observability keeps every dataset accurate, complete, and compliant, before it reaches your model.
Unify, govern, and scale AI-ready data
Get our AI-ready checklist to ensure your data is ready for AI
Download NowAI‑ready data in action
What we value about the platform is its agility and the way its teams involve customers in managing the product roadmap, along with a very active user community for sharing best practices. On the technology side, it’s above all their compatibility with all clouds, especially AWS in our case, as well as the flexibility of their metamodel with the ability to create our properties that best suit our context.
1. Gartner, “Lack of AI-Ready Data Puts AI Projects at Risk,” February 2025.
2 PWC, “Midyear update: 2025 AI predictions,” July 2025.
3. EY, “EY research: Artificial intelligence investments set to remain strong in 2025, but senior leaders recognize emerging risks,” December 2024.