Glean emerged from stealth with the debut of an intuitive work assistant to address the problem for knowledge workers: finding the right information, the right teammate, or the right insights to get things done at work.
At its core, Glean delivers a powerful, unified search experience that indexes dozens of applications, understanding context, language, behavior, and employee relationships, to find personalised answers to questions.
According to Glean, customers save 2.5 weeks a year per employee, freeing up time to focus on higher-value work that matters to their company.
Founded by 4 former Google and Facebook employees, Glean has accrued $55M in funding and already deployed at more than 40 companies. The team consists of several seasoned executives from Google, Facebook, Evernote, Intercom, and Pinterest.
Manu Narayan at Confluent, an early Glean customer, said: “Glean is a game-changer. Everyone everywhere has wasted countless hours reinventing the wheel because they couldn’t find what they were looking for or didn’t know it even existed. Glean solves that very fundamental problem. It is the connective tissue used by Confluent employees across the globe. As a rapidly growing organization with people spread across geographies and content across dozens of systems, Confluent relies on Glean to help us bridge gaps and reduce silos and drive efficiency.”
Thanks to Glean, knowledge workers now have the tools to empower work and deliver productivity gains from new technologies that they enjoy in their personal lives but aren’t yet seeing at work. Glean provides a unified and personalised search experience over information that lives across the workplace. It also proactively surfaces knowledge and helps one connect with the people who can make it easier to get things done.
Glean’s ability to unify company knowledge and set up in under two hours, as opposed to months of implementation, is made possible by several recent technology advances upon which Glean is built:
- The standardisation of modern workplace applications and availability of permission controls and ranking signals through APIs
- Large-scale data and indexing infrastructure available in the public cloud
- Recent breakthroughs in natural language processing and deep learning allow advanced relevance models to be built without the need for constant manual “knob-turning” and tweaks.
Arvind Jain, CEO of Glean, said:
“Glean has emerged at a time when organizations across the globe have adopted remote and hybrid work environments. This displacement has presented many challenges, especially when it comes to finding company information, getting personalized answers to specific questions, or just staying connected to colleagues.”
“Our solution puts the company’s knowledge at the user’s fingertips, allowing them to quickly ‘glean’ the information they need, which leads to a more productive use of time and overall improved operational efficiency.”
