The artificial intelligence (AI) company has signed a $200 million agreement with Snowflake that will make its Claude model available via Snowflake’s cloud storage platform to more than 12,600 customers worldwide, Anthropic said in a Thursday (Dec. 4) news release.
In addition, this collaboration establishes a “joint go-to-market initiative” aimed at deploying AI agents across the world’s biggest enterprises, the companies said.
“Enterprises have spent years building secure, trusted data environments, and now they want AI that can work within those environments without compromise,” Anthropic’s CEO/co-founder Dario Amodei said. “This partnership brings Claude directly into Snowflake, where that data already lives. It’s a meaningful step toward making frontier AI genuinely useful for businesses.”
“Anthropic joins a very select group of partners where we have nine-figure alignment, co-innovation at the product level, and a proven track record of executing together for customers worldwide,” Snowflake CEO Sridhar Ramaswamy added.
“Together, the combined power of Claude and Snowflake is raising the bar for how enterprises deploy scalable, context-aware AI on top of their most critical business data.”
The companies said the combination of Claude’s reasoning capabilities and Snowflake’s governed data environment will let customers in regulated industries such as financial services, healthcare, and life sciences “move from pilots to production with confidence.”
The news comes one day after a report that Anthropic had begun taking initial steps towards a potential initial public offering that could come next year, speaking with law firms and large investment banks about its possible listing.
“It’s a timeline that, if it holds, would put one of the most important generative AI vendors used across financial services onto public-market footing ahead of rival OpenAI,” PYMNTS wrote.
“For banks, payments processors and FinTechs racing to operationalize AI for fraud, compliance, customer service and developer productivity, an Anthropic listing would also be a referendum on whether public investors will fund the soaring compute costs behind ‘frontier’ models,” that report added.
In other agentic AI news, PYMNTS wrote earlier this week about new findings from the Harvard Business Review that takes the position that while companies are eager to use the tech in customer-facing operations, those environments are too variable and too sensitive to errors to be used with current systems.
“Agentic AI is progressing through a clear maturity curve, from prompting, to retrieval-augmented generation, to multi-agent architectures that divide work into small, supervised steps,” PYMNTS wrote.
“These systems can meaningfully raise accuracy and efficiency, but only when deployed in controlled settings with defined inputs and strong guardrails.”
Source: https://www.pymnts.com/