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GLEAN LAUNCHES NEW GENERATIVE AI CAPABILITIES TO ENHANCE SEARCH AND DISCOVERY
ACROSS ORGANIZATIONS

Michael Nuñez@MichaelFNunez
April 6, 2023 2:31 PM
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(Composite Image Credit: Glean / VentureBeat Staff)

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Glean, a company that provides intelligent search and discovery solutions for
knowledge workers, announced on Tuesday a suite of new features that use
artificial intelligence (AI) to synthesize and surface relevant information from
across an organization.

The features, which are based on Glean’s proprietary knowledge model, aim to
improve the accuracy and security of enterprise data and content, as well as
enhance the productivity and collaboration of employees, especially in remote or
hybrid work environments.

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One feature, AI answers, can generate a single concise answer to a natural
language query, drawing from various sources of content, context and permissions
within an organization. Another feature, expert detection, can identify and
connect users with subject matter experts within their company, based on Glean’s
analysis of content, activity and relationships.

A third feature called in-context recommendations can provide users with
additional content and context related to any given asset they are working on,
such as a document or a presentation.


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“We built Glean with the understanding that accuracy and security were critical
to our success,” Glean CEO Arvind Jain said in an interview with VentureBeat.
“Glean’s governance engine ensures that users only have access to information
that they’re allowed to see based on their existing access permissions in the
source systems which Glean searches. This way, our customers can be confident
that all their real-time enterprise data permissions and governance rules are
enforced.”


MADE FOR THE ENTERPRISE CUSTOMER

Glean was founded in 2020 by Jain, a distinguished Google engineer. In May, the
company announced a $100 million series C funding round, which put it at a $1
billion valuation. Glean claims to have more than 70 customers across various
industries including technology, media, education and health care.

“The opportunity is huge: AI can transform the way that we work by making
knowledge accessible and eliminating the time and resources spent hunting for
the information that employees need to do their jobs,” Jain told VentureBeat.

He continued: “But there are significant challenges when applying AI in the
enterprise, and a thoughtful approach is necessary to ensure that it’s the right
information that employees receive. At Glean, we believe that accuracy,
security, and referenceability are crucial in any AI tool used in the
enterprise.”

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INCREASED PRODUCTIVITY, DECREASED COSTS

According to a report by McKinsey & Company, knowledge workers spend about 20%
of their time searching for and gathering information, which amounts to a loss
of $1 trillion in productivity per year. The report also found that AI can help
reduce this time by 35% and increase revenue by 6%.

Glean has created a trusted knowledge model that aims to meet the accuracy,
security and reference capabilities that match the needs of the enterprise. The
model, which took four years to develop, is based on three pillars: company
knowledge and context, permissions and data governance and full
referenceability.

The model retrains deep learning language models (LLMs) on a company’s unique
knowledge base and applies real-time data permissions and governance rules. It
also shows the sources of each piece of information and how every response is
generated. Jain said that generative AI needs to be grounded in the right search
foundation to be valuable in business.

VentureBeat's mission is to be a digital town square for technical
decision-makers to gain knowledge about transformative enterprise technology and
transact. Discover our Briefings.


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