Informatica expands AWS integration to boost enterprise AI agents
Informatica has 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 capabilities supporting Amazon Bedrock AgentCore, as well as improved tools for data management, quality and governance.
Feature expansionThe company has introduced Model Context Protocol (MCP) servers that allow businesses to build autonomous AI agents on Amazon Bedrock AgentCore utilising Informatica's data services. These MCP servers enable developers to bring data integration, governance, and quality functions directly into their AI agents, aiming to improve accuracy, traceability and compliance in AI-driven operations.
Informatica's MCP servers offer enterprise customers the means to design AI agents that can connect to, interpret, and act on governed data in near real-time. This increases the ability of AI systems to execute business processes independently while complying with established data standards.
CLAIRE AI integrationThe company’s CLAIRE AI Engine now leverages Anthropic's Claude models via Amazon Bedrock, enabling more sophisticated reasoning, semantic parsing and natural language understanding for agent-based services. The integration allows CLAIRE-powered agents to address complex tasks including schema grounding, semantic query generation, and SQL optimisation, thus aiming to improve how enterprises manage, access, and validate data.
Blueprint for enterprise agentsInformatica has launched the next iteration of its Enterprise Agent Blueprint, a framework designed to help customers and partners implement agentic AI systems on Amazon Bedrock AgentCore. This blueprint incorporates Informatica’s APIs, pre-built connectors, and MCP servers, offering a structured path for developing autonomous agents that comply with required governance, security, and performance benchmarks.
Support for machine learningThe general availability of the Cloud Data Integration (CDI) connector for Amazon SageMaker Lakehouse was also announced. The new connector enables organisations to ingest and transform data from more than 300 sources, facilitating the creation of no-code and low-code pipelines for machine learning, analytical and generative AI workloads. With compatibility for Apache Iceberg, users can access large-scale datasets for data preparation and operationalisation within AWS-powered environments.
Awards and recognitionInformatica has been named recipient of two 2025 Geography and Global AWS Partner Awards: Industry Partner of the Year - Healthcare & Life Sciences - Technology, and Sustainability Partner of the Year (Nomination-Based Award). The company has also achieved AWS Agentic AI Specialization, recognising 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 become critical," said Krish Vitaldevara, Chief Product Officer at Informatica. "Our collaboration with AWS empowers customers to confidently build intelligent, compliant agents with the best of Amazon Bedrock AgentCore and Informatica's enterprise data management expertise. Being recognized with two AWS Partner Awards further underscores the impact we're driving for customers."
"We selected Informatica on AWS as part of a best-in-breed approach. We were impressed by its strong product vision and its AI-powered capabilities that align perfectly with our long-term roadmap," said Benoit Abadie, Group Deputy CIO, Emeria Group.
"As enterprises begin exploring agentic AI, they need trusted data foundations to power these intelligent agents and deliver real business value," said Rahul Pathak, Vice President of Data and AI GTM at AWS.