Snowflake has unveiled a series of product innovations aimed at helping enterprises accelerate the journey from AI experimentation to full-scale production, as competition intensifies around enterprise-ready artificial intelligence.

The AI Data Cloud company introduced new capabilities designed to simplify development, strengthen interoperability and embed trusted AI agents directly into enterprise workflows. The updates span coding automation, semantic governance and database consolidation, alongside a newly announced multi-year partnership with OpenAI.

At the centre of the product push is the general availability of Cortex Code, a data-native coding agent built to automate and accelerate end-to-end enterprise development. Designed to operate within an organisation’s existing data environment, Cortex Code enables teams to build data pipelines, analytics and AI applications more efficiently, regardless of technical expertise.

“For AI to truly deliver value, it must move beyond experimentation and become engrained within the systems teams rely on every day,” said Christian Kleinerman, EVP of Product at Snowflake. “With our latest product advancements, we’re reimagining how teams build and operate by embedding AI directly into the development lifecycle, making data AI-ready by design and helping enterprises deliver real business impact with AI. This marks a fundamental shift in how organizations build with data and AI, enabling users to build solutions that are reliable, governed, and ready to run at enterprise scale.”

Unlike generic coding assistants, Cortex Code is built to understand Snowflake’s data, compute and governance layers. It integrates across Snowflake environments and local development tools, including VS Code and Cursor, and supports the full development lifecycle. Snowflake also announced new “vibe coding” capabilities through an upcoming integration with v0 by Vercel, allowing users to build AI-powered applications using natural language and deploy them securely within Snowflake.

In parallel, Snowflake confirmed a multi-year, US$200 million partnership with OpenAI to deepen co-innovation and joint go-to-market efforts. The agreement makes OpenAI models natively available within Snowflake Cortex AI for its 12,600 global customers, enabling enterprises to apply advanced models such as GPT-5.2 directly to their proprietary data. The models will also be accessible within Snowflake Intelligence, the company’s enterprise intelligence agent.

To address governance challenges, Snowflake has also launched Semantic View Autopilot, now generally available. The AI-powered service automates the creation and maintenance of semantic views, ensuring that AI systems operate on consistent business definitions. By reducing manual modelling, the company said it can cut semantic model creation from days to minutes while improving reliability and minimising hallucinations.

Rounding out the updates are enhancements to Snowflake Postgres, which will soon run natively in the AI Data Cloud. The move enables organisations to consolidate transactional, analytical and AI workloads onto a single platform. With full compatibility with open source Postgres, enterprises can migrate existing applications without code changes, reducing data silos and eliminating complex pipelines.