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Salesforce Restricts AI Competitors’ Access to Slack Data, The Information Reports

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Salesforce has tightened control over Slack data access by blocking rival AI software firms from searching or storing Slack messages, according to a report by The Information on Tuesday. This change follows updates Salesforce made to its terms of service, detailed in a public statement issued on May 29.

A Salesforce spokesperson emphasized the company’s commitment to responsible AI and data management, noting the firm’s efforts to implement thoughtful and transparent safeguards around how data accessed through Slack’s APIs can be stored, used, and shared.

The updated policy restricts third-party apps like Glean from long-term indexing, copying, or storing Slack data obtained via the Slack API. Glean notified its customers that this will limit their ability to integrate Slack data into their AI-powered search and knowledge platforms, potentially reducing users’ flexibility in leveraging their enterprise data.

The move reflects growing scrutiny around how AI companies handle personal and customer data used to train AI models, as businesses aim to balance innovation with privacy and security concerns.

Salesforce, Glean, and other affected parties did not immediately respond to requests for further comment.

Glean Reaches $7.2 Billion Valuation Amid AI Investment Surge

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AI search startup Glean announced on Tuesday that it has reached a valuation of $7.2 billion following its latest funding round — the company’s third capital raise in under two years. This represents a valuation increase of nearly 57% since its previous round in September, where its value had already more than doubled in just over six months, highlighting continued strong investor demand for AI-driven companies.

The Palo Alto-based enterprise AI firm secured $150 million in this latest round, led by asset management firm Wellington Management. As public markets remain uncertain, many startups like Glean are choosing to remain private longer, raising significant late-stage funding. According to Michael Ashley Schulman, partner at Running Point Capital Advisors, “Founders avoid the volatility of public markets and employees receive secondary-market liquidity via structured rounds.”

Founded in 2019 by former Google search engineers, Glean has surpassed $100 million in annual recurring revenue in its last fiscal year. The company develops AI-powered search tools and large language models that provide businesses with personalized query responses, aiming to optimize enterprise productivity and internal information management.

Glean’s 72x valuation multiple on revenue is considered aggressive, but Schulman noted that investors are receiving “early access to a franchise,” particularly given that the company is currently cash-flow positive.

Earlier this year, Glean introduced its Glean Agents platform, which enables businesses to automate various operations through AI. The company expects the platform to facilitate 1 billion agent actions by the end of 2025. Industry leaders have pointed to AI-based agents as one of the most transformative applications of artificial intelligence. Microsoft CEO Satya Nadella has also highlighted how AI agents could disrupt the long-dominant software-as-a-service (SaaS) business model.

The AI sector continues to attract robust global investment as enterprises and governments pursue artificial intelligence for diverse use cases such as drug discovery, infrastructure management, and productivity enhancement.

Snowflake Raises Annual Revenue Forecast Amid AI-Driven Demand Surge

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Snowflake (SNOW.N) raised its fiscal 2026 product revenue forecast on Wednesday, driven by strong enterprise demand for its data analytics and AI services. The company’s shares jumped 6% to $190.09 in after-hours trading following better-than-expected first-quarter results and an upbeat outlook for the current quarter.

The AI boom has been a key growth engine for Snowflake. Through partnerships with OpenAI and Anthropic, the company has expanded its platform to support customers building and running advanced AI models, particularly for data-driven applications. This has significantly broadened its appeal across industries prioritizing cloud migration and AI adoption.

Updated Guidance and Performance

  • Q1 Product Revenue: $996.8 million (↑26% YoY), surpassing analysts’ forecast of $959.2 million

  • Q2 Product Revenue Forecast: $1.035 – $1.040 billion vs. $1.021 billion expected

  • Fiscal 2026 Product Revenue Forecast: $4.325 billion (up from $4.28 billion)

On an adjusted basis, Snowflake earned 24 cents per share, beating expectations of 21 cents.

Analysts attribute Snowflake’s momentum to its ability to scale cloud-based AI tools for enterprise clients, particularly those building AI agents and automation workflows. The company’s flexibility in integrating AI across large datasets makes it a key player in modern enterprise cloud ecosystems.

The stock is now up 16% year-to-date, reflecting investor confidence in Snowflake’s strategy to stay ahead in the competitive cloud and AI infrastructure market.