Informatica expands Google Cloud tie-up with CLAIRE GPT
Mon, 25th May 2026 (Today)
Informatica has expanded its partnership with Google Cloud by adding its CLAIRE GPT assistant to Google Cloud and extending support for Google's Agent2Agent protocol. The move ties Informatica's data management tools more closely to Gemini Enterprise.
CLAIRE GPT is now available directly within Intelligent Data Management Cloud on Google Cloud points of delivery. It lets data teams use natural-language queries to search for data assets, enrich metadata, check data quality, and address governance issues.
Informatica is also extending its CLAIRE data management agents to support Google's Agent2Agent, or A2A, protocol. The standard is intended to let AI agents from different vendors and platforms work together in shared workflows.
That means organisations building agents on Gemini Enterprise can call Informatica's CLAIRE agents within those workflows without custom integrations. Users also gain access to Informatica's governed enterprise data layer across different cloud and software environments.
Natural language
Informatica presents CLAIRE GPT as a conversational AI assistant for enterprise data management. The tool is designed to replace manual searches and multistep processes with prompts written in everyday language.
That would let teams working on data discovery and governance complete routine tasks more quickly inside Google Cloud. The product is generally available as part of Informatica's Spring 2026 release.
Support for the A2A protocol is due in Informatica's Fall 2026 release. Informatica cast the update as part of a broader shift toward what it describes as headless data management, in which trusted data services can be used across multiple applications, clouds, and agent frameworks.
The announcement also reflects a wider industry push to make AI systems interoperable, especially as companies build multi-agent environments that assign different tasks to specialised software agents. In that context, access to governed and traceable data has become a key issue for companies trying to move AI tools beyond experiments and into business processes.
Rik Tamm-Daniels, Vice President of Ecosystem and Technology Alliances at Informatica, said the update reflects that effort.
"These announcements reflect our shared commitment to making enterprise AI more accessible, trustworthy, and interoperable," said Rik Tamm-Daniels, Vice President of Ecosystem and Technology Alliances at Informatica.
"With CLAIRE GPT native to Google Cloud and A2A protocol support, Informatica agents become collaborative participants in the broader Agentic Enterprise - reinforcing our role as the data foundation for AI and our commitment to headless data management, wherever customers choose to build," he said.
Customer response
Two companies cited by Informatica said the tighter link between Google Cloud and Informatica could improve the use of verified and governed data in AI systems.
"As a Google Cloud and Informatica customer, we're excited to see these new innovations become available," said Gaganpreet Randhawa, AVP of Enterprise Architecture at CNA Insurance.
"AI requires a foundation of trusted data with rich context to succeed, and the ability to readily access this data within agentic workflows is crucial," Randhawa said.
Google Cloud also positioned the arrangement as part of a more open AI ecosystem.
"The future of enterprise AI relies on open, interconnected ecosystems where agents can seamlessly collaborate using trusted data," said Satish Thomas, Vice President of Applied AI and Platform Ecosystem at Google Cloud.
"Our deepened partnership with Informatica will empower customers to build multi-agent workflows with Gemini Enterprise that are rooted in enterprise-grade data management," he said.
Dun & Bradstreet, which works with both companies, said the ability to make verified data available within agentic workflows would matter in practice.
"As both a customer and partner of Google Cloud and Informatica, we see firsthand the power of bringing these capabilities together," said Gary Kotovets, Chief Data and Analytics Officer at Dun & Bradstreet.
"Ensuring our verified data is available where and when it's needed to power agentic workflows will enable organisations to drive real outcomes," he said.