🔍 AI-Powered Search for Enterprises
Today's Highlights
- Glean - pioneering generative AI for enhanced corporate data access
- Learn - a couple of courses to further your knowledge in AI
- In Other News - a few interesting developments we're tracking
Glean - Enhanced Corporate Data Accessibility
Glean is an innovative AI startup that specializes in enterprise search and information discovery. Glean has been acknowledged for making significant advances to the field of generative AI in the enterprise sector. It functions as an AI-powered work assistant, combining a wide range of firm data (including content, people, and interactions) into a comprehensive knowledge graph. This method ensures that Glean's information is highly tailored and appropriate to each user's specific situation and demands.
One of the key technologies utilized by Glean is Retrieval Augmented Generation (RAG), which retrieves the most pertinent information, allowing language models to respond with the most current and accurate knowledge. This is particularly beneficial for businesses, as it offers a blend of advanced AI capabilities with the practical need for secure and reliable information retrieval in a corporate environment. The enterprise search capabilities of Glean are enhanced by this technology, making it a powerful tool for companies seeking to leverage AI for data analysis and decision-making processes.
In addition to its core functionalities, Glean introduces generative AI capabilities to the enterprise domain, offering a chat assistant that is tuned to the nuances of enterprise data and workflows. This feature combines the enterprise knowledge with the reasoning power of large language models (LLMs) to deliver a secure and accurate conversational AI experience. The company's product design allows easy implementation in enterprise environments, with more than 100 connectors and a straightforward setup process that doesn't require extensive professional services or data training.
Glean has also tapped into advanced AI models like GPT-4 and Google's PaLM, allowing companies to integrate these large language models into their data environments. This enables businesses to summarize, synthesize, and analyze data effectively, contributing to more informed decision-making and operational efficiency.
The company was co-founded by Arvind Jain, T.R. Vishwanath, Piyush Prahladka, and Tony Gentilcore. To date, they have raised over $200 million.
📚 Learn
Rav Ahuja and Antonio Cangiano
|
Andrew Ng, Geoff Ladwig, and Aarti Bagul
|