- Informatica (INFA, Financial) launches AI Agent Engineering and CLAIRE Agents to optimize enterprise data management.
- The no-code AI Agent Engineering service enables intelligent multi-agent AI systems.
- CLAIRE Copilot, now generally available, enhances data integration with generative AI models.
Informatica (INFA), the AI-powered leader in enterprise cloud data management, has announced a comprehensive strategy for Agentic AI, further solidifying its position in the industry. The company unveiled new offerings including AI Agent Engineering and CLAIRE Agents, both of which are set to transform enterprise data management. AI Agent Engineering is a no-code service that enables organizations to build, connect, and manage multi-agent AI systems efficiently across various ecosystems like AWS, Azure, and Google Cloud.
The introduction of the CLAIRE Agents marks a significant evolution in autonomous data management, designed to enhance productivity and data accuracy. These agents utilize advanced AI planning models to automate complex tasks such as data ingestion and lineage tracking, crucial for navigating today’s data challenges brought about by increasing AI adoption and governance complexity.
Informatica’s CEO, Amit Walia, emphasized the transformative potential of these new tools, stating that they empower businesses to leverage their data strategically and securely. The AI Agent Engineering service and CLAIRE Agents are expected to be available globally in the fall of 2025. Informatica’s latest innovations align with its broader commitment to offering AI-ready, enterprise-grade solutions that uphold service quality, security, and compliance.
Additionally, Informatica has made CLAIRE Copilot generally available for data integration and cloud application integration, leveraging generative AI models to dramatically accelerate data transformation processes. This development is part of Informatica's vision to make advanced AI accessible and actionable, assisting organizations like Wescom Financial in enhancing member experiences and streamlining operations.
