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BOZEMAN, Mont. - Snowflake (NYSE:SNOW) announced Tuesday that its enterprise intelligence agent, Snowflake Intelligence, is now generally available to its global customer base of more than 12,000 organizations. The cloud data platform provider, currently valued at $93.9 billion, has seen its shares surge 143.7% over the past year, with the stock now trading near its 52-week high of $280.67, according to InvestingPro data.
The AI-powered tool enables users to ask complex questions in natural language and receive insights from their company’s data. According to the company, more than 1,000 customers have already deployed over 15,000 AI agents across their businesses using the platform.
Snowflake Intelligence unifies data from structured tables, unstructured documents, and third-party applications like Salesforce Data 360. The company states the system is built with enterprise-level security and governance features to ensure confidential information remains protected while democratizing data access.
"For more than a decade, Snowflake has served as a cornerstone of global enterprises’ data strategies. Our next evolution is about bringing AI to this data, allowing every customer to unlock intelligence that is uniquely their own," said Christian Kleinerman, EVP of Product at Snowflake.
The company also announced new capabilities including Cortex Agents and a managed Model Context Protocol Server, both now generally available. These tools allow developers to build custom data agents that can plan tasks and generate responses from various data types.
Several organizations reported early adoption of the technology. Toyota Motor Europe’s Head of Data and AI, Thierry Martin, noted that Snowflake Intelligence has "transformed our development timeline, reducing agent deployment from months to weeks."
Cisco is developing internal AI agents using the platform to "integrate and analyze large volumes of data, paving the way for greater automation and faster decision-making," according to Srini Namineni, SVP and Chief Automation Officer at Cisco.
Snowflake’s own data team uses the technology internally, with their AI assistant being used by more than 6,000 employees and answering over 12,500 questions weekly, according to the company’s press release statement.While Snowflake reported a negative $4.15 earnings per share over the last twelve months, analysts predict the company will become profitable this fiscal year with an EPS forecast of $1.29. Investors seeking deeper insights into Snowflake’s financial health, valuation metrics, and growth potential can access the comprehensive Pro Research Report available exclusively on InvestingPro, which offers expert analysis on this and 1,400+ other US equities.
In other recent news, Snowflake Inc. has reaffirmed its revenue guidance for the third quarter and fiscal year 2026. This announcement follows comments made by an executive in an unauthorized interview, which the company clarified should not be relied upon by investors. In a regulatory filing, Snowflake emphasized that the executive was not authorized to disclose financial information. Additionally, Citizens has raised its price target for Snowflake to $325, maintaining a Market Outperform rating, citing a strong revenue outlook. The company’s Chief Revenue Officer, Mike Gannon, mentioned in a social media interview that Snowflake is projected to achieve over $4.5 billion in revenue this year and aims for $10 billion in the coming years.
Moreover, Wedbush has increased its price target on Snowflake to $270, highlighting the company’s growth potential through its refined go-to-market strategy and recent engineering innovations. In another development, Snowflake announced a strategic partnership with Palantir, integrating its AI Data Cloud with Palantir’s Foundry and Artificial Intelligence Platform. This collaboration is designed to enhance data pipelines and AI applications for customers in both commercial and public sectors. These recent developments reflect Snowflake’s ongoing efforts to strengthen its market position and expand its technological capabilities.
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