Informatica announced new enhancements to its Intelligent Data Management Cloud (IDMC) platform targeting deeper integration with Amazon Web Services (AWS) to support the development of enterprise-grade AI agents. These updates include new features to support Amazon Bedrock AgentCore and improvements to tools for data management, quality, and governance.
Functional enhancement
The company introduced Model Context Protocol (MCP) Server, which enables enterprises to leverage Informatica’s data services to build autonomous AI agents on Amazon Bedrock AgentCore. These MCP servers allow developers to deploy data integration, governance, and quality capabilities directly into AI agents, aiming to improve accuracy, traceability, and compliance in AI-driven operations.
Informatica’s MCP Server provides enterprise customers with the means to design AI agents that can connect to, interpret, and manipulate managed data in near real-time. This improves the ability of AI systems to independently execute business processes while adhering to established data standards.
CLAIRE AI integration
The company’s CLAIRE AI engine now leverages Anthropic’s Claude model via Amazon Bedrock to enable more advanced inference, semantic parsing, and natural language understanding in agent-based services. This integration enables CLAIRE-powered agents to handle complex tasks such as schema grounding, semantic query generation, and SQL optimization, aiming to improve the way enterprises manage, access, and validate data.
Enterprise agent blueprint
Informatica has launched the next iteration of Enterprise Agent Blueprint, a framework designed to help customers and partners implement agent AI systems on Amazon Bedrock AgentCore. This blueprint incorporates Informatica’s APIs, pre-built connectors, and MCP servers to provide a structured path for developing autonomous agents that adhere to the required governance, security, and performance benchmarks.
Machine learning support
We also announced the general availability of the Cloud Data Integration (CDI) connector for Amazon SageMaker Lakehouse. New connectors enable organizations to ingest and transform data from over 300 sources, making it easier to create no-code and low-code pipelines for machine learning, analytics, and generative AI workloads. Compatibility with Apache Iceberg allows users to access large datasets for data preparation and operations within an AWS-powered environment.
Awards and recognition
Informatica has been named one of two recipients of the 2025 Geographic and Global AWS Partner Awards. Industry Partner of the Year – Healthcare and Life Sciences – Technology, and Sustainability Partner of the Year (nomination-based award). The company also earned the AWS Agentic AI Specialization for its ability to support the deployment of intelligent, independent AI systems within enterprise settings.
“As AI becomes more autonomous, the quality and governance of the underlying data becomes critical,” said Krish Vitaldevara, chief product officer at Informatica. “Our collaboration with AWS enables our customers to take full advantage of Amazon Bedrock AgentCore and Informatica’s enterprise data management expertise to build intelligent, compliant agents with confidence. Winning two AWS Partner Awards further underscores the impact we are making for our customers.”
Benoit Abadie, Group Deputy CIO of Emeria Group, said: “We selected Informatica on AWS as part of our best-of-breed approach. We were impressed with its strong product vision and AI-powered capabilities that align perfectly with our long-term roadmap.”
Rahul Pathak, vice president of data and AI GTM at AWS, said: “As enterprises start considering agent AI, they need a reliable data foundation to power these intelligent agents and deliver real business value.”
