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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.

AI Firm Cohere Doubles Annualized Revenue to $100M by Targeting Enterprise Sector

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Cohere, the Toronto-based AI startup, has doubled its annualized revenue to $100 million as of May 2025, according to a source familiar with the matter. The company’s enterprise-first strategy—focused on private, secure deployments in regulated industries—is fueling its rapid growth.

Although a Cohere spokesperson declined to confirm the financials, the company told Reuters that 85% of its business now comes from long-term enterprise contracts, with profit margins reaching 80%.

Strategic Shift: Enterprise Over Scale

Cohere’s revenue surge follows a strategic pivot in Q3 2024, when CEO Aidan Gomez announced a move away from building general-purpose, massive foundation models in favor of smaller, customized AI systems tailored to individual sectors like:

  • Finance

  • Healthcare

  • Government

This reflects a growing industry trend: domain-specific AI is now seen as more scalable, secure, and immediately useful for enterprise workflows.

“The era of scaling models for raw power is giving way to delivering domain-specific intelligence,” said Gomez in a year-end internal memo.

New Product Launch: North

In January 2025, Cohere launched North, a ChatGPT-style assistant designed to help knowledge workers with tasks like document summarization and data analysis. The product is currently in limited trials with early customers including:

  • Royal Bank of Canada

  • LG

Market Position and Backing:

  • Founded in 2019, Cohere has raised over $900 million from investors including Nvidia, Cisco, and Inovia Capital.

  • The company was last valued at $5.5 billion.

  • Current enterprise clients include Fujitsu, Oracle, and Notion.

Industry Context:

Cohere’s enterprise-focused model aligns with broader AI sector dynamics, where efficiency, security, and customization are increasingly favored over monolithic, general-purpose AI systems. This comes as major AI labs face diminishing returns from increasing model size, a strategy that once drove breakthrough performance.