Informatica has announced its Fall 2025 release, introducing major innovations across its Intelligent Data Management Cloud (IDMC) platform. The new capabilities are designed to help enterprises unlock productivity, enhance data security, and build trust in AI-powered decision-making as they move toward the era of agentic artificial intelligence.
New CLAIRE agents boost autonomous data management
The latest update features the introduction of several CLAIRE Agents aimed at automating complex data management tasks. These include CLAIRE Data Exploration Agents, which allow users to perform complex natural language queries on master and enterprise data, and CLAIRE Enterprise Discovery Agents, which provide contextual and accurate results from an organisation’s data sources for AI and analytics use cases.
CLAIRE ELT Agents help business users build and deploy data pipelines collaboratively with data engineers, while CLAIRE Product Help Agents deliver context-aware responses to questions about data within Informatica’s IDMC. The release also includes CLAIRE Data Quality Agents, now in public preview, enabling users to create and operationalise data quality rules in minutes using natural language. In private preview, CLAIRE Product Experience Agents assist in classifying and enriching product records using both structured and unstructured data.
The company has also enhanced CLAIRE GPT, which now offers planning, advanced reasoning, and improved natural language understanding. The system leverages Azure OpenAI and AWS Bedrock Claude models within Informatica’s secure cloud to deliver enterprise-grade, agentic data management. These upgrades allow users to plan, automate, and optimise data workflows more effectively.
Another addition, CLAIRE Copilot for Master Data Management (MDM), enables users to explore master data and access product help through natural language queries directly within Informatica MDM.
Advancing agentic AI development
Informatica’s Fall 2025 release strengthens its Integration Platform as a Service (iPaaS) with new tools for developing and managing AI agents. The new AI Agent Engineering capability, currently in private preview, allows enterprises to build, connect, orchestrate, and manage custom Informatica agents through a no-code interface. This significantly shortens development time from weeks to minutes and includes built-in testing, monitoring, and full lifecycle management.
The accompanying AI Agent Hub, also in private preview, provides pre-built, domain-specific AI agents and automation templates to speed up deployment. It includes integrations with popular enterprise tools such as Jira, Salesforce, Dynamics, Snowflake, and Microsoft Teams. These templates support common workflows such as lead management, approval processes, and master data discovery.
Informatica MCP Servers now offer secure connections between AI agents and enterprise tools, including cloud address verification, Cloud Data Governance Catalog (CDGC) search, and Master Data Management.
Strengthening data governance and privacy
The Fall 2025 update also expands Informatica’s data governance and privacy capabilities. A new Unstructured Data Governance feature, available in private preview, allows CDGC users to scan, classify, and catalogue unstructured data files. Using hierarchical taxonomies, enterprises can better curate content for generative AI applications within their data catalogues.
In addition, new AI governance tools within CDGC enable enterprises to model multi-agent systems and scan AI asset inventories from Google Vertex AI. This ensures better oversight and governance of AI systems and applications. Enhanced data access management plugins also extend policy enforcement to Databricks, AWS Redshift, and Microsoft Fabric Data Warehouse, ensuring secure and consistent data usage across platforms.
Innovations in master data management
Informatica has also introduced an Agentic Product Information Management (PIM) for Product 360, currently in private preview. This tool simplifies product data stewardship through conversational interfaces, allowing users to manage data more intuitively. The MDM Extension for Agentforce connects Salesforce-native AI agents with unified, governed master data, embedding trusted insights directly into customer engagement workflows.
Commenting on the release, Kevin Petrie, Vice President of Research at BARC, said, “Our research finds strong demand for agentic data management. Informatica addresses this demand, for example, by supporting the two most popular use cases of data quality and data integration. Informatica also simplifies agentic AI innovation by enabling enterprises to build and refine agents while synchronising the data, model, and application lifecycles.”
Krish Vitaldevara, Chief Product Officer at Informatica, added, “The world is entering the era of agentic AI where autonomous agents collaborate with humans to solve complex business challenges. With our Fall Launch, Informatica empowers every organisation to connect trusted, AI-ready data to these intelligent agents helping them innovate faster, operate smarter and build AI systems their businesses can trust.”
