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Positioning itself as a “Work AI platform,” Silicon Valley AI unicorn startup Glean, which was recently valued at $7.2 billion in its Series F round, rapidly established its competitiveness in the era of generative AI by resolving the fragmentation of internal corporate data through a unique technological infrastructure, including large-scale SaaS integration, a model-agnostic architecture that is not dependent on any specific model, and an internal knowledge graph that understands context such as relationships among people, documents, and activities. In addition, it adopted a GTM (Go-to-Market) strategy that begins with a pilot program connecting to a small number of high-impact core systems such as email, documents, chat, and code, demonstrates value based on data and metrics, and then expands its scope of application once performance is validated. Internally, it linked AI utilization to leadership evaluation metrics and established a “Dogfooding” culture in which employees directly use and improve the product, rapidly spreading organizational-level AI literacy capabilities.

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“If HP knew what HP knows, it would be three times more profitable.”

This remark by Lew Platt, who served as Chief Executive Officer (CEO) of HP in the 1990s, still raises a valid question in today’s era of generative artificial intelligence (AI). Even though companies accumulate vast amounts of data and documents, why are employees unable to find and use the information they need at the right moment? Could it be that companies that connect fragmented knowledge and transform productivity will ultimately become the winners of the future? Glean, an enterprise AI startup founded in Silicon Valley in 2019, is a company that has long tackled this problem head-on. Glean positions itself as a “Work AI platform” that connects and integrates documents, conversations, code, CRM data, and more scattered across the organization within the context of the company to provide the information users seek and further autonomously execute actual tasks.

The rise of remote work environments triggered by COVID-19 and the emergence of generative AI led to a rapid increase in workplace applications, and Glean, which gained traction among companies struggling with data fragmentation, experienced explosive growth. Recently, it surpassed $200 million in annual recurring revenue (ARR), and over the past year, the number of customers with annual contract values exceeding $1 million grew nearly threefold. Glean has raised approximately $765 million in cumulative equity funding to date, and in its recent Series F round, it was valued at $7.2 billion.

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