"Industry Observer" is a column established by cutting -edge technology such as artificial intelligence, XR, Yuan Universe and Web3. It mainly shares the story of emerging companies or entrepreneurs in these fields.Enterprise AI leader GLEAN has recently completed more than $ 260 million in Series E financing, with a valuation of 4.6 billion US dollars.With this huge amount of financing, what is the "next generation prompt" announced by the company?The following is our 29th content, the following enjoy.
In modern society, many companies such as WealthSimple, Super, Webflow, Duolingo, Confluent, UPSIDE, Contino have faced challenges of overload and knowledge.
The information refers to the data of enterprise employees to handle a large number of emails, documents, database information, and data in project management tools every day. Excessive disorderly information causes them to effectively obtain the most related content.
At the same time, the phenomenon of knowledge island refers to the spread of information and knowledge in multiple departments or tools, and lack of unified channels for employees to easily access, which makes it difficult for enterprises to make full use of existing internal knowledge.
Glean was born to solve this problem.
1 minute project speed view
1. Project name: GLEAN
2. Establishing time: 2019
3. Product introduction:
Artificial intelligence assistant and corporate search platform workplace search can be connected to internal data sources to help employees find information and answer questions.
4. Founder team:
Arvind Jain: Arvind has created Rubrik, one of the fastest -developed companies in the field of cloud data management with others, and has worked in Google for more than ten years. He has led several teams such as search, maps and YouTube;
Tony Gentilcore: For more than ten years working in Google, he helped realize the modernization of the online search interface and led Chrome’s Speed Team;
TR Vishwanath: Now the professor of the Texas University of Austin, Austin University, the School of Electronic Engineering Silicon Engineering Silicon Laboratory, once served as the president of the Indian Institute of Technology;
PIYUSH PRAHLADKA: I studied at Mumbai, India Institute of Technology.
5. Financing:
On March 1, 2019, complete the 15 million US dollars of A round A financing led by Kleiner Perkins, LightSpeed Venture Partners;Jaipur Stock
On March 31, 2021, the $ 40 million round B financing led by General Catalyst was completed;
On May 18, 2022, a round C financing led by Sequoia Capital was completed;
On February 27, 2024, completed a $ 203.2 million of Kleiner Perkins, LightSpeed Venture Partners;
On September 10, 2024, it completed a $ 260 million round E financing led by Altimeter and DST Global.
Change of the medical service model
As an innovative company dedicated to bringing artificial intelligence (AI) into the workflow of the enterprise, Glean completed more than $ 260 million in Series E financing in September 2024. The company’s valuation reached $ 4.6 billion.
Glean’s rapid growth and high valuation reflect its leadership position in the field of corporate AI and the market’s high recognition of its technology.Guoabong Stock
The company’s original intention was to create a search system that can connect all the internal data of the company, and achieve this goal through more than 100 SaaS connectors.
GLEAN raised more than $ 200 million in round D financing in February 2024, with a valuation of $ 2.2 billion.Just six months later, the company’s valuation doubled, showing its strong growth momentum.This round of financing was led by Altimeter and DST Global, and new investors include Craft Ventures, Sapphire Ventures.
Glean customers include well -known companies such as Reddit, Instacart, Pinterest, Duolingo, DataBricks, as well as global leading companies in telecommunications, banking, retail, semiconductor, electronics and manufacturing.Indore Stock
Glean’s vision is to make AI a part of everyone’s work. By providing tools that are easy to use, it helps enterprises to improve creativity, productivity and operating efficiency.The company’s mission is to make AI technology easy to access. You can find the answer, generate content and automation work without being prompting engineering experts.
The company’s latest products are based on advanced search and RAG (RETRIEVAL-AUGMENTED Generation) technology to provide comprehensive, security, privacy, permissions control and traceable answers.These technologies enable GLEAN to provide corporate users with strong, secure and credible AI services.
GLEAN has become the leader of the AI solution of the enterprise, and its products are known for their user -friendly, efficient and secure.The company’s success lies in its profound understanding of data, strong search technology, and the unique positioning of the company, and it will also help more companies to achieve digital transformation.
Work AI platform
Glean’s Work AI platform is a smart system that connects all the data of the enterprise, which aims to help users quickly and securely integrate AI into the corporate workflow.
Through strong search and RAG technology, the platform provides users with high personalized answers. At the same time, it ensures that all answers are safe, private, permissions perception, and can be completely traced back to the source document inside the enterprise.
Its core function includes:
Search and understanding information: GLEAN allows users to search for information, documents and personnel, explore insights, research and discovery, and help new employees to quickly integrate new tasks and projects.
Create and summarize content: Users can create content, update and delivery, summarize documents, discussions and meetings, and analyze to obtain insight and answers.
Automation: GLEAN supports and automatically respond to communication, automated repeatable tasks and workflows, and coordinate the department’s process.
At the same time, GLEAN introduced the next generation of prompting technology to ensure that all users with the level of skills can easily adopt AI without being hindered by the complexity of the project.These prompt functions include:
Tips Constructioner: Create, edit, test, save and publish prompts with natural language;
Advanced multi -step tips: Automated complex tasks and workflows;
Reminder Sharing: Sharing prompts with team members to promote learning and adoption;
Tips: Explore and discover new AI use cases.
Embedded solution
GLEAN also launched an embedded solution for Zendesk and Salesforce Service Cloud to help the support team serve customers faster and more effective.
These integrations put GLEAN directly in the customer’s default support work space, to summarize the work order, list the proposal next step, display related documents and work orders, identify experts, and write customer responseEssence
Glean’s customer feedback shows that the platform greatly improves work efficiency, saves a lot of time, and improves the quality of work.Users say that GLEAN’s AI function enables them to make more intelligent prompt projects, so as to get better answers and automate on this basis.
GLEAN × Duoduo
Since its incense in 2012, multi -neighboring applications have rapidly risen to learn the preferred way to learn new languages worldwide.The company is unswervingly pursuing the development of world -class educational resources and is committed to popularizing it to every corner of the world.
To achieve this goal, the global teams of many neighboring countries work together to work together to transform language learning into an interesting, efficient and free experience, so that everyone who desires to learn can embark on language exploration at any time.trip.
However, before the introduction of GLEAN, multi -neighboring countries faced significant obstacles of information sharing and collaboration between teams.
The company’s knowledge has been split and stored in multiple systems, such as Google Drive, Slack, Conflonce, and Zendesk, which greatly increases the difficulty of employees to obtain key information, which has led to low work efficiency and frustration of team morale.In addition, the annual survey data has further confirmed the existence of these challenges.
To cope with this dilemma, multi -neighboring countries have tried to integrate information through the internal development of the search polymer Metasearch, but unfortunately, the tool lacks necessary filtering and ranking functions, and the independent development of these functions is time -consuming and laborious.
Therefore, even with Metasearch, employees are still uncomfortable when looking for information, and precious time and resources are consumed unnecessaryly on repeated labor and inefficient search.
With the expansion of the company’s scale and the surge in data volume, multi -neighboring countries urgently need a more efficient and practical solution to optimize knowledge management, relieve employee pressure, and improve overall work efficiency.
It is particularly worth mentioning that the Glean Chat function, which has become a key driving force for improving work efficiency with its characteristic dialogue interactive experience.Relying on Glean’s powerful knowledge model, Glean Chat provides users with more convenient ways to retrieve personalized and highly related answers, which greatly improves the efficiency and accuracy of information acquisition.
ART Chaidarun, chief software engineer of Duozhi, highly evaluated Glean Chat, thinking that it is one of the most potential and underestimated functions in GLEAN.
He pointed out that "as many people are now inclined to consult ChatGPT before using Google, Glean Chat can even provide accurate answers faster than traditional search engines in some cases."
"The time of employees is very precious," Art Chaidarun emphasized, "through the accessability of the optimization document, we can effectively save time, especially in avoiding repeated labor and using existing company knowledge. The introduction of Glean has improved significantly.The speed of finding key opinions from employees has promoted communication and collaboration between teams.
"Now, employees are more inclined to use GLEAN CHAT to summarize documents and planning roadmaps, and quickly get answers that need to be obtained by multiple queries. This transformation not only simplifies the process of knowledge sharing, but also reduces unnecessary duplicationWork, thereby comprehensively improving our work efficiency.
The cooperation between Glean and neighboring countries shows the huge potential of artificial intelligence in corporate knowledge management.This is not only a successful case of cooperation between the two companies, but also indicates that more companies will use AI technology to improve internal management efficiency in the future and promote innovation and development.Jinnai Wealth Management
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