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Snowflake announced a comprehensive set of product updates at its annual Snowflake Summit event on Tuesday, aimed at rearchitecting its data cloud platform to drive enterprise-grade AI agent adoption. These announcements follow Snowflake's agreement on Monday to acquire Crunchy Data, a PostgreSQL startup.

The AI data cloud company unveiled a hybrid multi-cloud data ingestion service called Snowflake Openflow, Cortex Knowledge Extensions third-party data mining pipelines, and AI-driven natural language analysis and data science assistants based on the Snowflake Intelligence and Data Science Agent frameworks.

Snowflake also announced the general availability of its Cortex AI SQL agent query tool and the SnowConvert AI data modernization assistant, which is designed to help enterprises migrate from legacy data warehouses.

"We are making access to structured data simple, and we are also making access to unstructured data simple. We are helping customers build a strong foundation to stay ahead in the era of AI agents," said CEO Sridhar Ramaswamy during the company's fiscal 2026 first-quarter earnings call last month.

As enterprises seek to capture business value from generative AI-driven agent automation, major vendors are racing to deploy data integration, modernization tools, and pipelines to meet technical demands.

The acquisition of Crunchy Data brings AI compliance and scaling capabilities to Snowflake, coming less than a month after Databricks, a competitor in the AI data cloud space, announced plans to acquire PostgreSQL startup Neon.

"We are doubling down on Postgres's momentum and investing in its future while preserving the openness, extensibility, and developer-first ethos that make it so great," Ramaswamy said during his keynote on Monday.

As part of its integration strategy, Snowflake is connecting its data cloud to the Associated Press, USA Today, and several other publishers through Cortex Knowledge Extensions, enabling enterprises to feed news and other timely data into AI applications and agents, the company said in an announcement on Tuesday. The pipeline creates a marketplace that lets enterprises access third-party data while ensuring publishers are compensated.

Snowflake Intelligence unifies raw and structured data from spreadsheets, documents, images, and databases, and uses large language models from Anthropic and OpenAI.

The integration connects the company's data cloud to Google Drive, Salesforce Data Cloud (via Zero Copy), Workday, and other enterprise vendor platforms, unifying security controls, data masking, and governance policies. The company said the feature will soon enter public preview.

"Many of our assumptions about how we worked in the past no longer hold," Ramaswamy said in a keynote conversation with OpenAI CEO Sam Altman, pointing to AI's impact on enterprises.

"Next year we will reach a stage where you can not only use systems to automate business processes or build these new products and services, but you can really say, 'I have an extremely important problem in my business, and I will invest a large amount of compute to solve it'... and the models will be able to figure out things that a team alone could not discover," Altman said.