Glean today announced a suite of new AI-powered features to empower knowledge workers with instant access to the information and insight they need to thrive in their roles. The functionality is grounded in Glean’s trusted knowledge model to ensure levels of accuracy and security that are not possible with today’s general-purpose AI models. The new features bring the power of cutting-edge AI and enterprise-ready generative experiences into day-to-day workflows, including:
- Generative AI answers: using the latest generative machine learning models to understand and synthesize content from across an organization, AI Answers can provide a single crisp answer to natural language search queries, taking into account content, context and permissions from across an entire organization.
- Expert detection: based on its deep understanding of a company’s content, employees, activity and how they relate to one another, Glean can show users relevant experts by mapping subject matters to people, which can be particularly helpful in this era of remote/hybrid work.
- In-context recommendations: provides users with supplemental content and context related to any given asset. If a user is working on a document and wants additional information on the topic, typing Cmd-J (Ctrl-J on Windows) will surface clickable recommendations for related or relevant content from across the company in a companion window.
“AI has the potential to transform the way we work, to remove obstacles like knowledge silos and busywork, and empower people to thrive in their roles,” said Arvind Jain, founder and CEO of Glean. “With these powerful, assistive updates, Glean is delivering on the promise of intelligent search and discovery, ensuring that users can find answers to their questions, access the information they need, and stay connected not only to company knowledge, but also to one another.”
Glean’s trusted knowledge model
Generative AI is fast becoming a powerful tool for knowledge workers, but general-purpose models aren’t built with the enterprise in mind. Accuracy, security and referenceability are critical in business, so to be genuinely useful, generative AI needs to understand not only the content, but also the context, the relationships among people, a company’s internal language, as well privacy and security parameters. Developed over four years to meet these requirements, Glean’s trusted knowledge model is built around three essential pillars:
- Company knowledge and context: Glean retrains deep learning language models on a company’s unique knowledge base to develop a thorough understanding of content, internal language, people and the relationships within an organization. This enables Glean to recognize nuances like how people collaborate, how each piece of information relates to another, and what information is most relevant to each user.
- Permissions and data governance: Glean takes into account all real-time enterprise data permissions and governance rules and ensures that users only have access to information that they’re allowed to see.
- Full referenceability: Glean can show the sources of each piece of information and how every response is generated.
“Companies are racing to bring generative AI into the enterprise, but they’re risking making costly mistakes if it’s not deployed correctly,” said Jain. “Generative AI is additive — it needs to be grounded in the right search foundation to be truly valuable. We’ve been building our trusted knowledge model over four years to ensure that our results are accurate, secure and reliable.”
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