Agentic AI at Speed and Scale
The bottleneck in agentic AI deployments isn't the language model — it's the data:
locating it, interpreting it, governing it, and integrating it.
Ab Initio frees agents from all this complexity. Agents use business language to make requests and get trusted, governed answers from the data, no matter where it resides across the enterprise. When technology and governance don’t get in the way, you can deploy agentic AI at speed and scale.
Better knowledge. Better agents.
Ab Initio enhances the power of AI with a deep understanding of your data. Our software analyzes your data to determine its meaning and its relationships to other data. This knowledge provides a foundation for governance and building AI initiatives. A network of highly specialized agents use this knowledge to answer questions and perform critical tasks like finding data and configuring data pipelines — or creating data quality controls and building data products.
Speak business. Get outcomes.
Ab Initio understands where your data is and what it means, so your AI agents can use business language to indicate what you want to do, and Ab Initio’s agents do the rest. They determine what data is needed, where to get it, and how to integrate it — across clouds and on-prem, legacy and modern — applying governance policies and respecting security controls at every step.
Governance without gridlock.
Traditionally, you directly govern physical data. This kind of governance leads to immense duplication because similar data exists throughout the enterprise. Ab Initio avoids duplication by operating at the conceptual level. Business concepts (such as Home Address ) are associated with governance controls (such as Home Address must be masked ).
Because the platform understands the meaning of the data, it can dynamically apply this control to every physical instance of Home Address, even if one instance is in Google Cloud and another is in a database on-prem. Both users and AI agents can understand these governance controls — enabling collaboration and oversight.
Specify. Don’t Code.
With Ab Initio, semantic knowledge guides AI to generate an understandable, high-level specification, not code. This specification is executed by Ab Initio at scale, in batch or real-time, and across clouds and on-prem environments in a reliable, deterministic way. Governance and security are always respected. Every step is traceable — giving you an audit trail from specification to result.
One platform. Many applications.
Ab Initio unifies compute, knowledge, and AI into one adaptive system:
- Compute Automated pipelines adapt to different data sources, business logic, and environments at runtime and scale dynamically with available resources.
- Knowledge Business definitions, ontologies, lineage, and policies are encoded in a knowledge graph that allows users, AI agents, and services to find, understand, govern, and integrate data on demand. Bidirectional integration with Google’s Knowledge Catalog provides consistent governance across large-scale, hybrid, and multicloud environments.
- AI Highly reliable, auditable AI services enable users and business agents to explore and analyze data by using natural language. Because users and AI agents don't need to know the technical details of where data is located or how to access it, they can produce results much faster.
Ab Initio drives external AI agents, governs large data estates, and enables trusted data products to be built — and so much more.
About Ab Initio
Trusted by many of the world’s largest enterprises, Ab Initio software combines rich metadata, high-performance data processing, and agentic AI to accelerate data engineering, governance, and analytics at scale.
